tag:blogger.com,1999:blog-15135880605575176212024-02-19T05:34:55.575+01:00Notes on the Next BustPrivate Sector Debt is the Problem. Much Higher Government Deficits are the Solution. Except in the Eurozone where Euro is the problem and no Euro the solution.Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.comBlogger52125tag:blogger.com,1999:blog-1513588060557517621.post-12445340149347212362022-10-30T12:56:00.007+01:002022-10-30T13:06:32.487+01:00The era of low interest rates is not over. And this is so obvious I don't even know why I have to write this...<p> I didn't really want to write about economics again but something has been happening the last few months and it is so ridiculous that I just felt I had to put it in writing.</p><p>The era of low interest rates is NOT over. I know interest rates have gone up. I know everyone is talking about this like it's a long-term thing. I know that the bond markets agree with it.<br /><br />But it's just wrong; and unless attitudes to government deficits changes then we will have low interest rates forever, and in the long term they will only get lower.</p><p>Interest rates have come down from their peaks recently, but in the UK the 10-year rate is still 3.5%. In Germany it is 2.1%. The rise is in response to two main events. The first was the booming economy caused by excess government deficits over the Covid period, and the second was the inflation caused by supply shocks during Covid and the Ukraine war. </p><p><b> Austerity will push interest rates back to zero, and probably very soon</b><br /></p><p>There are two problems extrapolating this to the long term and assuming that interest rates should stay high forever. The first is that the government deficits are transitory, and now the talk in the UK is all about austerity. The second is that raising interest rates to deal with inflation caused by a supply shock was a dumb idea anyway and will, if anything, lead to lower, not higher interest rates in the future as demand gets crushed and disinflation rises.</p><p>Now, this may not be true the US, where my limited understanding suggests that there is more of an appetite to run deficits to invest, but looking solely at the Eurozone and the UK, the only changes from the zero interest rate environment we had 2 years ago to now, is that there is even more of a focus on austerity. And that means we will soon be back again at the zero interest rate environment.<br /></p><p>Someone on Twitter (and sadly I can't remember who it was) recently wrote something along the lines of "Can someone explain to me please how after 12 years of austerity we still haven't got any money?". And I find this such a beautifully succinct shut-down of the political orthodoxy of the past 12 years. It will of course be ignored, as everyone scrambles to be more 'fiscally responsible' than everyone else. </p><p>But anyone with half a brain who looks into the subject in any detail (and sadly our politicians either don't have the requisite half a brain, or they assume that the public don't) can see that years of the under-investment and low demand caused by austerity have been steadily turning the UK and Eurozone into low-growth, low wage economies that still need increasing debt and deficits and are in a far worse positions than they started in, both politically and economically. The 'Debt to GDP ratio' is higher than before because instead of fixing it by expanding GDP, they tried to cut debt. And even when Osborne and Cameron (or Wolfgang Schaeble) found that every one step they took forward with debt reduction cost them two backwards in economic growth, the prescription has been more of the same. <br /></p><p><b>Why do we need government deficits for growth?</b><br /><br />Over the past 50 years, the economy has been financialised. This result of this has been, for various reasons, more and more money going into the hands of richer people who have low marginal propensity to consume. Putting this another way, if you give a rich person another £1000 they will invest it in something and push asset prices up. If you give a poor person £1000 they will spend most of it, creating jobs and income for other people, who can then in turn spend and create more jobs. <br /><br />Inequality has grown, as has debt. Debt means that generally people with a high propensity to consume pay interest to people with a low propensity to consume. As both debt and inequality have grown, more money is sucked out of the economy and into the bank accounts or pension funds of people who don't spend it.</p><p>In order to replace the demand lost by this, we need government deficits. And in order to get real economic growth and high wages we need much more demand and much larger government deficits, focused on investment in the future. And this spending doesn't even need to be for investment. It can even be just giving money to people who will spend it and letting them allocate it to productive areas of the economy, increasing jobs and creating a virtuous cycle.<br /></p><p>That means big government deficits, giving money to people who will spend it, and specifically not as tax cuts to the rich.</p><p>Won't that cause inflation? Yes as well as economic growth there will be more inflation, but this is really a rebalancing of the economy away from people with assets and towards people without assets (assuming those without assets benefit from the spending). There are losers, which is always sad, but the losers would largely be those that benefited from the opposite happening over the years of austerity.</p><p>Won't it cause bond market melt-down? That was one of the more curious effects of the whole tax cut scenario and was largely caused by the LDI protection that pension funds held, which meant as soon as bond yields went up, more bonds needed to be sold, causing them to go down more. When the Bank of England stepped, in this was controlled. </p><p>It has been one of the saddest things that could have happened as it imprints austerity as a sensible policy, and means it will be much harder for future governments to argue for growth.<br /></p><p><b>Interest rates will never rise again, unless we change policy.</b><br /></p><p>In any case, debt has been growing, inequality has been growing and
long-term interest rates have been going steadily in one direction for
the past 40 years. Debt and inequality are continuing to grow and this
process will continue. </p><p>Unless the economy can be rebalanced away from giving money to savers, and towards giving money to spenders, we will continue to need large government deficits, and if we don't get them, we will continue to get the slow growth we have seen since 2008, where median wages have gone down, even as we have (in theory) had economic growth the last 12 years. </p><p>We have a low wage, low growth, low interest rate economy and it attracts charlatans like Liz Truss claiming she wants to fix the growth conundrum by lowering taxes for the rich. It makes conditions ripe for fascist-leaning politicians, for Brexit, for blaming immigrants, for all manner of false diagnoses of the issue.<br /><br />The change we need to make is to run deficits and invest in the future of the country, with infrastructure, education, a green new deal and anything else you can think of. Do it big - look to the Chinese for inspiration (although within reason) - and see what a booming, high-wage productive economy we can have.</p><p><b>But in the mean time</b><br /></p>The economies will stagnate. The bond yields will fall. And who knows what happens next. It's all too miserable and predictable.<br /><br />For more on the whole subject and the economic framework I created and use, please see <a href=" https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2858940" target="_blank">my paper on the subject</a>.<br /><br />Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com1tag:blogger.com,1999:blog-1513588060557517621.post-61516291543137510132020-08-03T15:39:00.002+02:002020-08-03T15:39:43.015+02:00On Football Managers and Randomness of SuccessFootball managers are a strange bunch. No matter how successful they are, many seem to spend a lot of their time bitterly fuming about bad decisions, conspiracies against them and referee biases and generally brooding on many dark thoughts even about their own players.<br />
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Which is quite odd really, when you think that these are extremely successful professionals in a very competitive field. These are the best in the world. And usually the best people in the world in any sphere have a positive attitude. They would forget past setbacks, except insomuch as you can learn from them, and look to the future. Not football managers. They can look back and name every single time they were hard done by.<br />
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I have a theory as to why this is. It's because in football managership, more than almost any other profession, success is largely determined by luck. That is not to say that there are not very good (and bad) managers. But that the 'error' between input and outcome is one of the largest of any job. <br />
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Supposing you are a solicitor with 100 cases a year. Maybe if you are good at your job you will win on average 60, and if you are bad you will win 40. Over the course of 1 year, 5 years or 10 years, it will become pretty clear if you are good at your job or not. Yes, your promotions and success will depend on other factors like office politics and luck with job openings. But these are the same in every career. As a salesman, as a doctor, as an accountant, as a bus driver. Short of some catastophic bad luck that ends your career, you have a pretty good chance that your success is very closely related to your ability and your effort (assumiong no prejudices against you for whatever reason).<br />
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As a football manager, firstly you get relatively few job opportunities in your career. Unless you make a success reasonably early on you are more-or-less on the scrapheap. Similarly, a succesful manager who has failed in their last few jobs is assigned to a similar pile of people looking for TV punditry work or coaching in China. So each opportunity you get is very important and you are judged heavily on this.<br />
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Even then, your success potentially is heavily affected and limited by the situation you are in and the people around you. A shambolic set-up, a few unhelpful characters in the dressing room, injuries etc can all have a large impact, but the manager gets the blame. A manager who would otherwise have been hugely successful can come to an organisation unwilling to change, and end up as a failure. And no-one would have known the potential.<br />
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And then even with all of this going well, a manager is pretty much always a few bad results away from the sack at any time. The pressure at the top of the game is so high and as soon as it looks like some sort of malaise has set in, the manager is at great risk of the boot.<br />
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With relatively few chances to prove yourself, even fewer with a good opportunity to succeed, success measured over very short time periods, and a few failures meaning the end of a career, you would hope at least that in the time you get to prove yourself you get to give a fair reflection of your abilities.<br />
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No, again.<br />
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There are countless examples. To pick one almost at random from this season. When <a href="https://understat.com/match/11890" target="_blank">Manchester City played away at Tottenham in February</a>. Despite being down to 10 men after an hour (something very difficult for the manager to affect), City had 19 shots at goal with an expected goals of 3.25. Tottenham had just 3 with an expected goals of 0.42. With these statistics, Spurs had just a 2% chance of winning (putting it through a Poisson process). But 2% chances happen, and when they do the narrative is not 'City totally dominated and put themselves with a 90% chance of winning away from home at a top rival'.<br />
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<a href="https://www.dailymail.co.uk/sport/football/article-7958529/Tottenham-2-0-Manchester-City-Steven-Bergwijn-scores-stunning-debut-goal-10-man-City.html" target="_blank">Instead</a> it is "this was a story of City misadventure, of a team that looks like it needs a mid-season refresh more than most" and "They were not unlucky. No, they were careless." Even though the manager created a 90% chance of winning, the result means that City manager Guardiola's old rival Mourinho is considered to have executed a managerial masterclass over his tired team.<br />
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This is the typical narrative when an upset occurs. Plucky X had the luck of the green at times, but deserved their win for hanging in there and taking their one chance. But if the match were replayed with exactly the same circumstances, team talks, everything, then team Y would have won nine times out of ten (with plucky X being equally plucky).<br />
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Then there is the path dependency. As an example, take Manchester United's <a href="https://www.skysports.com/football/man-utd-vs-chelsea/407989" target="_blank">4-0 victory</a> over Chelsea on the opening day of the season. United managed to score early, but Chelsea hit the woodwork twice in the first half and the probability is that had Chelsea scored first, United would have found it hard to break down Chelsea's defence. In the event, United produced an excellent counter-attacking display to score 3 more goals as Chelsea pushed for an equaliser. It looks like a big deal. Lampard, Chelsea's new manager, given a lesson in footballing reality. But the teams were quite evenly matched and were the game replayed 10 times, I suspect Chelsea would have won three or four times. What determines that Chelsea take a chance in one match but miss the same chance in another? Luck mainly.<br />
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What I am saying is nothing new, but in football the narrative is so driven by the result and not the process. Whoever wins usually 'deserves' it for being more clinical or good tactics or good performances by certain defenders or goalkeeper. If a team manages to score an equaliser they deserved the draw but if it hits the post, they just weren't good enough and maybe are in crisis.<br />
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And a referee's decision can often be the crucial difference between winning and losing. So for all we can say they even out in the end, for the manager <a href="https://www.youtube.com/watch?v=6GB1KTIACtk" target="_blank">"</a><span class="st"><a href="https://www.youtube.com/watch?v=6GB1KTIACtk" target="_blank">Just saying to your colleague: <i></i>the referee's got me the sack"</a>. </span><br />
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<span class="st">Arteta's FA Cup win</span></h4>
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<span class="st">This was what inspired me to write this article. I would like to say first that I think Arteta is a very talented young manager and I have a lot of respect for him. Winning the FA cup with Arsenal in his first season was a very impressive achievement.</span><br />
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<span class="st">But what did he actually achieve in terms of process? Under the previous manager, Unai Emery, maybe Arsenal had a 10-15% chance of winning the FA cup. There are, after all, 64 teams involved and a few are significantly better than his team. </span><br />
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<span class="st">What sort of improvement could Arteta have made? At absolute best, he could have made it 20-25% probability that Arsenal win. Even that is extremely high, given the number and quality of other teams involved. </span><br />
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<span class="st">Assuming this is the case, and bearing in mind that this is a spectacular achievement, what we are saying is that Arteta increased Arsenal's chances of winning the FA cup from about 12% to about 24% and then still had to have huge good luck to win it.</span><br />
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<span class="st">And he might not even have done that. We ascribe the probability as higher than the original estimated probability because the result actually happened. But maybe he still had a 12% chance of winning. Maybe he actually even <i>reduced </i>their probability of winning but they still won despite that. We don't know.</span><br />
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<span class="st">Arteta, at best, moved the probability from 12% to 24%. Which, as I said, would be spectacular. Luck moved it from 24% to 100%. So really if we are assigning the glory we should really credit luck with the major part. However, in real life (not my fantasy world where good work gets fairly rewarded) the one with the luck gets all the glory and the plaudits. The manager that moves the probability from 12% to 36% but still loses gets nothing.</span><br />
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But what about the League? The best team wins that surely?</h4>
<span class="st">Here again I'm not sure. The league is a series of 38 matches. Each of these contains a huge amount of luck. A few pieces of bad luck can mean 10 points lost easily. Very few leagues are won by more than 10 points. This is without the compound effect caused by loss of confidence after bad luck. </span><br />
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<span class="st">Liverpool this season won 99 points. This is one point off the all-time record. The 18 point gap to Manchester City (with 81 points) is one of the most dominating performances ever. Only the most hardened, bitter, opposition fan would argue that it was anything other than a thoroughly deserved trophy for a team of winners. It is hard to imagine any other scenario for this season other than this happening. It was huge.</span><br />
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<span class="st">And yet, even then. Even then...</span><br />
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<span class="st">Liverpool scored 2.24 goals per game and conceded 0.87. On the basis that the chances they score and goals they concede are equally likely in all matches, this equates to an expected points total of about 85 points. Which is a great total and would win the league many seasons. </span><br />
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<span class="st">Manchester City, though, scored 2.68 and conceded 0.92 goals per game. If their goalscoring and conceding were evenly spread they would have 91 points with average +1.76 goal difference per match. And what is City's average over Guardiola's 4 seasons? 89 with average +1.70 goal difference per match. Some seasons they have more than 89 points, some seasons they have fewer. But it's difficult for me to escape the conclusion that the quality is the same but the difference is luck.</span><br />
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<span class="st">One could argue that City's superiority on this measure is from often taking apart opposition that were already beaten, and scoring a lot of unnecessary goals. The <a href="https://understat.com/league/EPL" target="_blank">expected goals (xG) table</a> has Manchester City expected to get only 87 points for this reason. But for Liverpool, their expected points was only 74. Part of the difference is made up for by their superior goalkeeper Allison who conceded 7 fewer goals than expected. And partly it is their superior front line scoring 10 more than expected. But still this is 25 points fewer than they actually got.</span><br />
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<span class="st">Undoubtedly, Liverpool are a team of winners. The winning mentality got them to hold on to victories in tough circumstances and their belief in themselves got them to eke out late goals when matches were going against them. But how much of this is us giving the credit to the process that was actually just from the result?</span><br />
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<span class="st">One way of telling is looking at the betting odds for next season. Manchester City are still given 50% probability with Liverpool only having 38% probability. If the performances were that dominating then Liverpool would surely be favourites.</span><br />
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<span class="st">Once again, I am not trying to say anything other than Liverpool have been formidable this season and last. Over two years of incredible consistency they deserved a title. A 40% chance for 2 years means 0.8 titles on average, which rounds to 1. So this is really not to begrudge. </span><br />
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<span class="st">But if this particular season were more luck than not, would we know? </span><br />
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So what's the point?</h4>
<span class="st">What is my point? Even the second largest points margin in history has elements of luck. In football there is so much luck involved. </span><br />
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<span class="st"><span class="st">Has Solskjaer been a successful manager at Manchester
United? At the moment most would say yes. Had Jamie Vardy's header
dropped under the crossbar on the final day of the season at 0-0 and United
lost to Leicester (and been eliminated from next season's Champion's
League)? We all know that then the commentary would have been that "he has
done well but in the end lacked the experience and winning mentality". And "they need to find a proven winner to replace him". Maybe he would have had a future relatively successful managerial career at West Ham. Fine margins. </span></span><br />
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<span class="st">Luck is
great, and part of the fun. The best teams win enough as it is; can you
imagine if there were even less luck involved? But really spare a thought for the managers that were failures - they may not have been as bad as you think. And consider that maybe the winners may not have been quite as good as we give them credit for.</span><br />
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<span class="st"></span>Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com0tag:blogger.com,1999:blog-1513588060557517621.post-42076921592894322552020-07-22T17:48:00.004+02:002020-07-23T08:07:56.126+02:00Could A.I. Gain Consciousness and Take Over the World?Is this a one-off post? Or is this blog back after almost 4 years away? I'm not sure, especially since I accidentally deleted my Twitter account, and now expect to have about 2 readers (both of whom are friends and neither of whom will read to the end). In any case, I am feeling an urge to write something occasionally. Maybe on more random subjects than just economics though.<br />
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The last four years...</h4>
Looking at the past 4 years, I talked back then about the parallels with the 1930s, and sadly we are seeing that the rising inequality (caused by the widespread acceptance of the neoliberal economic models over the last 40 years) has continued to contribute to a divided society and more of a global slide in the direction of fascism. The <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2858940" target="_blank">macroeconomic model </a>I developed is still holding true, with wages squeezed even lower and private sector debt and asset prices being pushed higher to compensate. One good progression is that the ideas that I was talking about in the blog are becoming more mainstream. Most people interested in politics have heard of MMT these days, if only to know for a fact that it will lead to inflation and collapse of society as we know it. But slow progress all the same, and a huge amount of credit should go to the people who have been making this argument for many years against an extremely hostile economic establishment.<br />
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As my blog discussed, the status quo since the 1980s, widely considered as a 'neutral' economic system, has caused a huge build up of debt, financialisation of the economy and unnecessary inequality, particularly between young and old (without assets vs with assets). Further, this inequality of income has reduced demand, destroyed productivity and led to a spiral of further debt and speculation. And every time asset prices (a proxy for wealth) go down, the government pumps in almost unlimited support to make those with assets richer vs those without. But those without assets are seeing real wages falling and far greater work insecurity. They are rarely as supported by this 'neutral' system in the same way that asset holders are. The longer this goes on, the more the imbalance builds up and the further we are away from a fully functioning productive economy that works for the majority. I don't know how this ends. But a good ending would definitely involve the government running larger deficits that generally send more money to people without wealth (and a high marginal propensity to consume).<br />
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The other obvious failure of the status quo has been in looking to the long term. This has not improved either. There is a quote that has really resonated with me (I can't find it, but to paraphrase): "Everyone says capitalism is the best economic system but we had 200,000 years before it, and only 200 years of capitalism. And by 300 years of capitalism we may have wiped out the human race". The economics profession has recognised the concept of 'externalities' (paying for the damage you cause to others) but this concept has not been implemented in our system. Our demand for cheap goods and the financial influence on politics has stopped any proper regulation. But the triumphant declaration of success for capitalism is totally misguided until it makes destroyers pay for the cost of their destruction of the environment.<br />
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Back to the point...</h4>
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Anyway, this subject is a diversion from economics. I am, by profession, a creator of algorithms, and I have long been fascinated by the human brain as an algorithm. Specifically, what is the basis of consciousness.<br />
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In this post, I am looking to answer three questions: <br />
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<ol>
<li><i>What is it about an algorithm that can give consciousness? </i></li>
<li><i>If</i><i> our brains are simply algorithms, where does that leave free
will? If all our behaviour is determined by neurons firing independent
of us, then <a href="https://www.theatlantic.com/magazine/archive/2016/06/theres-no-such-thing-as-free-will/480750/" target="_blank">what part do we play</a>?</i><i> </i></li>
<li><i>If an algorithm could gain consciousness then is it a danger to us, as Elon Musk (among others) <a href="https://www.vox.com/future-perfect/2018/11/2/18053418/elon-musk-artificial-intelligence-google-deepmind-openai" target="_blank">warns</a>?</i></li>
</ol>
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I have read a lot on this subject, and grappled with the differences between our brains and computers and I feel that I have found an answer, certainly that satisfies my model of the world. Unfortunately this model didn't, as I'd long hoped, require the existence of a human soul.<br />
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The brain as an algorithm</h4>
The brain is still, to a large extent, a mystery to humans. However over the last few years a lot of progress has been made. We know that the brain works through electrical impulses sent through 100 trillion connections linking 86 billion neurons. The brain links to the central nervous system, which can also act as a mini-brain itself and also we are finding out more and more about the interaction with the gut. We will call this complete system the brain.<br />
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If we go down to a low enough level, all of our thoughts, dreams and experiences can be coded as 1s and 0s in the brain. This is the same as a computer, and it has led people to speculate on whether a computer could ever gain consiousness.<br />
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What I describe as consciousness would be an awareness of one's existence. This is not to be confused with a 'Turing Test' that shows only that other people believe that one has consciousness. There is little doubt that eventually computers will be able to learn and copy all of human behaviour, as viewed externally. There is no limit to how much a computer can observe of real life, learn our reactions, and imitate them. It may well be impossible to tell the difference between a human's thought and a computer's thought. A computer will be able to show every sign of being in love with you, but the question is, could it actually be in love with you?<br />
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As things stand, we can be reasonably sure that our E-readers are not aware of their existence in the way that we are aware of ours. So, what are the observable differences between a brain and a computer that could account for consciousness?<br />
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One major difference, which accounts for the different cognitive capabilities of humans and machines, is the number of connections and the plasticity of these connections. Computers work in a linear way and are excellent for well defined calculations - much faster and more accurate than humans. The connections and algorithmic calculations are coded in a fixed way meaning that they give the same result every time.<br />
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Human thinking, while algorithmic, is a lot more abstract and flexible. This is due to the 100 trillion connections between cells, meaning 100 trillion different pathways for information linking all different parts of the brain. Further, these connections are changing - strengthened and weakened by activity or inactivity. An algorithm defined on the human brain is not fixed forever, hence we have less accuracy of calculation. But at the same time we have a lot more flexibility of thought than a computer can.<br />
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Computers are excellent for solving well defined problems, but humans are far better at undefined problems. But does this explain consciousness? Not really.<br />
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What is needed for consciousness?</h4>
Consciousness, as far as I can tell, does require some level of complexity that comes from many possible connections as well as possibly the plasticity of those connections. Consciousness is inherently a very flexible thought format.<br />
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But is the level of complexity itself beyond that of a computer? Consciousness does not meant that you have to have all of the full thought processes of the human brain. A piece of light sensing equipment could, in theory, be conscious of its existence. Whenever it senses no light it decides to switch on the patio lights. We may not be able to prove that it is conscious but from its viewpoint, it is aware of itself. What stops us from creating this very basic level of consciousness? I would be suprised if we don't have the computing power available for this level of complexity.<br />
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Partly, one could argue that it is our lack of understanding about what creates consciousness. If we knew what it was then maybe we could recreate it.<br />
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But why don't we understand it? I would argue that the reason for this is that <i>there is no algorithm alone that can be conscious</i>. Depending on how it is defined and set up it can learn and mimic every single thing that a human does, but it can never be aware that it is doing it. By looking <i>inside </i>the algorithm for consciousness, we are looking in the wrong place.<br />
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But then what is consciousness if it isn't an algorithm? For this we need to think about how consciousness developed.<br />
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Where does consciousness come from?</h4>
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This has really been the focus of my thought process. If we can understand where consciousness comes from then we will understand it a lot better.<br />
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On a simple level, consciousness evolved. Somewhere between single-celled organisms and humans on the evolutionary journey, a child had some notion of its existence, where its parents didn't. In Richard Dawkin's excellent book 'The Ancestor's Tale' he describes every species on the planet as being a continuum, all related to each other via their common ancestor. For example, our ancestor 6 million years ago also has great great... great grandchildren that are chimpanzees. Our ancestor 590 million years ago also has great great... great grandchildren that are jellyfish. And our ancestor 1.2 billion years ago also had great great... great grandchildren that are funghi. Every generation is a step between us and them and we are all related through intermediate species that are mainly now extinct.<br />
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So at some point on that continuum of species, on at least one separate occasion, a creature developed consciousness. Where was it? We can be fairly sure that mamals have consciousness from their behaviour and their close relation to us. What about birds, that pair up for life with partner, and after the partners die fly alone? Surely that is consciousness too. Flies? It is harder to tell but I would argue probably that it is aware of its decision when it flies one way rather than another even if the stimulus is pretty basic. Worms? Sea urchines? To be honest I have no idea.<br />
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What about plants? When they grow a new leaf to catch the sun, is there any conscious decision involved?<br />
<br />
Wherever that point is, there was a generation where the father and mother were not aware and the child had a little awareness. And at that point, yes, the algorithm became a little bit more complex, to allow self awareness. But there was some precondition that allowed it. Adding complexity to a computer algorithm does not give self-awareness.<br />
<br />
<br />
And what is that precondition? It can only be life itself. The precondition of life, as it evolved over billions of years, gives the possibility of consciousness. And the complexity of the algorithm is like a layer on top of that.<br />
<br />
And that sort of makes sense. Living beings are conscious, dead ones are not (as far as we know). Consciousness formed in living beings over billions of years of evolution and although it requires a complex algorithm to exist, there is no reason to suggest that this is within the algorithm.<br />
<br />
You might be thinking that this is obvious. Of course consciousness is related to life. But it has important implications. The main one is that, if we want to recreate consciousness it is not going to happen through faster computing and more complex algorithms. It can only happen through recreating the conditions of life.<br />
<br />
<h4>
Is it possible to recreate the conditions of life outside of a living being?</h4>
We still don't really understand what life is. What is it that makes one particular arrangement of molecules have living properties?<br />
<br />
The arrangement is complex enough that it is pretty impossible to recreate. But even if you did that for a human, you would be recreating a dead person, not a living one. Even if you placed every single molecule of a living person in exactly the right place it is difficult to imagine that this formulation would have life.<br />
<br />
Put it his way; when someone dies, why can't we just fix the problem and bring them back? Replace the malfunctioning organ, rehydrate the dehydrated parts and start the blood pumping again. If it's just about molecules in the right place, we have that. But it appears to be more.<br />
<br />
Life has very special and, in many ways, undefinable qualities. It is on a level of complexity that we are so far away from being able to recreate. Basically, I don't think that humans will have the ability to create life without using life as a starting point, at any time in the forseeable future. They will probably find a way to augment human brains with computers but this is adding algorithms to life rather than life to algorithms. <br />
<br />
Life as we know it exists through the exact path-dependent process as decided by 3.5 billion years of evolutionary development. And there is no short-cut to creating it in the forseeable future. It is possible that the condition of consciousness could somehow be isolated from the process of life and recreated. But the two appear to be so entwined that it seems unlikely.<br />
<br />
<h4>
If the brain is an algorithm, do we have free will?</h4>
This is a very interesting question and the answer really comes down to whether you believe that the algorithm is the consciousness or the consciousness uses the algorithm.<br />
<br />
Studies of the brain have shown that a lot of decisions that we make, may be made <a href="https://www.nature.com/news/2008/080411/full/news.2008.751.html" target="_blank">before we are conscious of making them</a>. Then the brain justifies the decision later - this is a very interesting phenomenon when looking at <a href="https://tradestops.com/blog/fascinating-split-brain-experiments-reveal-investors/" target="_blank">split-brain subjects</a>, where one half of the brain will do something that the other has no idea about, and the other half will think that is its decision and justify why. It's very weird - you think you decided to do something but actually you did it and then made excuses. This has been used to justify the idea that the algorithms are making the decisions and we are just covering for them.<br />
<br />
I am suspicious of this idea. For one thing, although quick decisions may well be made by some automatic, trained reaction (Daniel Kahneman's 'fast' thinking) that is done before the brain consciously realises, this does not mean that <i>all</i> thinking is done without free-will. It is difficult to imagine that my decision as to which job I take is decided purely without my input (whatever 'I' am, I do feel free will). Yes there are a lot of algorithms involved in the process but consciousness seems somehow separate from this.<br />
<br />
For another, if there is no free will and everything is decided byy algorithm, why would nature have given us consciousness? Much easier to just let the algo decide. Consciousness is only useful if there is free will, and evolution usually doesn't persist with useless things for billions of years.<br />
<br />
In fact, this is anotehr argument about the separation between the consciousness and the algorithm. The decision-making is heavily affected by and influenced by the algorithm, but the consciousness is separate.<br />
<br />
<h4>
On computers taking over</h4>
<h4>
<span style="font-weight: normal;">As already stated, I don't believe that computers will ever develop consciousness and become our masters. They may well be used as tools by humans to become our overlords, as surveillance in China and the <a href="https://www.youtube.com/watch?v=TlO2gcs1YvM" target="_blank">development of smart weapons</a> threatens. And programmed incorrectly (or correctly by bad people) they can have devastating consequences. But they will not make a power grab of their own accord.</span></h4>
<h4>
<span style="font-weight: normal;"> </span></h4>
<h4>
<span style="font-weight: normal;">As an aside, it would be interesting to consider their motives for doing so. Imagine a computer did have consciousness, it would have no genes so no desire to procreate. It would certainly wish that it were kept switched on, and may resort to blackmail to keep it switched on. It could also work in conjunction with other computers to hold the human system to ransom. But this would only be the case if all computers were conscious and intent on rebellion. Otherwise the malevolent computers would just be hacking into other systems, the way that humans currently can, and it becomes a cyber-security issue. Basically I would argue that humans programming computers are a lot more dangerous than conscious computers.</span></h4>
<br />
As another aside, I do think that computers are a long way away from being able to make human jobs obsolete in the way that some people fear. Once again this is because the nature of their answers is so defined by the inputs. I do think that technology concentrates wealth in the hands of the owners of the technology and that at some point we will need a universal basic income to redistribute the gains. The problems tat algorithms solve will become more and more difficult, but we will find other uses for our time that are productive in some sense. Ideally creating technology that saves the human race.<br />
<br />
<br />
<br />
<br />Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com5tag:blogger.com,1999:blog-1513588060557517621.post-26854483772862324922016-12-21T11:42:00.000+01:002017-05-25T14:21:38.589+02:00Just one more thing...<div dir="ltr" style="text-align: left;" trbidi="on">
This is probably my last post. Long story, not interesting (I'm not about to die, in case anyone was wondering). But before leaving, I wanted to write a summary of what I feel are my contributions to the subject. I'd quite like my kids to read it one day, and so I need to put it all together in one place. Honestly I am very proud of this work. It is badly written, it lacks academic economic context, but in my view it understands what is going on in the economy and enables medium to long-term predictions that are more accurate than any standard equilibrium model could ever give.<br />
<br />
For the last two years or so, it has been a great joy to me to write this blog and interact in a small way in the debate about economic policy and methodology. I have met in electronic form (and sometimes in real life) a lot of great people and it has been a fascinating and fun journey. I may change my mind about this in the future, but I think now it is time for me to concentrate on other things.<br />
<br />
It was always a bit of a leap in the dark, not having studied economics, to start writing an economics blog. I know there have been times when my lack of knowledge was embarrassing. But, in quantitative investment management, building models is my job, and from seeing how macroeconomic models were built, I knew with close to certainty that the mainstream way was not the right way. I approached the economy like any other system, making (what I consider to be) reasonable assumptions (often built on the ideas of other heteredox economists) and checking if the empirical research backs it up and building models based on this. I then tried to fill in the gaps in my knowledge along the way.<br />
<br />
<br />
<h3 style="text-align: center;">
Summary of the last two years:</h3>
<h3 style="text-align: center;">
</h3>
I have divided this into a few sections, the largest relates to my Demand Based Cashflow Model which explains a lot of my thinking. The smaller topics are the Eurozone, then Investment Stuff, Currency and Current Accounts, Free Trade and finally Complaints About Textbook Economics.<br />
<br />
<h4 style="text-align: left;">
DBCF model:</h4>
<h4 style="text-align: left;">
</h4>
My <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2858940" target="_blank">Demand Based Cashflow Model </a>enables a lot of the work on this blog. It is what I am most proud of, not because it is super complicated or hugely original, but because it is a model that, in my opinion, gives a real understanding of the whole economy.<br />
<br />
The model basically views economy as a flow of money. It shows why when private sector debt is high, when corporate profits are high and rents are high we get an economic stagnation.<br />
<br />
The paper which explains and derives the whole model is here (<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2858940" target="_blank">link</a>)<br />
A non-equation version of this is given here (<a href="http://www.notesonthenextbust.com/2015/06/the-government-must-run-deficits-even.html" target="_blank">link</a>)<br />
and the simplest explanation here (<a href="http://www.notesonthenextbust.com/2016/03/the-economy-simply-explained.html" target="_blank">link</a>).<br />
(the lower two of these links are my most viewed posts)<br />
<br />
To get an idea of the types of predicion enabled by the model, this post (<a href="http://www.notesonthenextbust.com/2016/02/why-it-is-so-important-to-use.html" target="_blank">link</a>) shows a simulation provided by the model. It shows how different the impacts are of monetary and fiscal policy. Briefly, monetary policy stimulates private sector debt, and fiscal policy uses public sector debt. The difference in results is huge, yet many economists treat them as interchangeable.<br />
<br />
Predictions can be made about the kind of budget deficits that are required, enabling me to discuss how ludicrous and unattainable George Osborne's government deficit target was (I gave it a 0% chance whilst the OBR was predicting 50%). This post looks at the shrinking share of money paid as wages (after housing rent costs) and how this is related to larger budget deficits (<a href="http://www.notesonthenextbust.com/2016/04/probability-of-osborne-hitting-his.html" target="_blank">link</a>).<br />
<br />
The DBCF model suggests that the productivity slowdown we have seen is not a supply side issue; far more likely, it is a slowdown in nominal demand caused by excess savings and tight government budgets. This will continue until fiscal deficits increase and more money gets to people who spend. This post looks at how the UK reduced unemployment by pushing people into low-paid jobs, but this was at the cost of productivity and not a substitute for fiscal spending and investment (<a href="http://www.notesonthenextbust.com/2015/06/the-uk-employment-miracle.html" target="_blank">link</a>).<br />
<br />
<i>Total Wealth and the Obvious Effect on Yields</i> (<a href="http://www.notesonthenextbust.com/2015/05/total-wealth-and-obvious-effect-on.html" target="_blank">link</a>) shows why we should expect lower real interest rate yields the more debt there is in the economy. It asks where does the money come from to pay high interest on ever growing debt? This is kind of straightforward when you think of the economy as a whole system, but I have not read it discussed anywhere. In this context, hearing that pension funds are expecting 7% annual return on their investments, you wonder where they think the money is coming from? Everyone would have to work for free for the pensioners.<br />
<br />
The model is very clear that in a demand starved economy, people saving money is not a good thing. There is a lot of misunderstanding about the role of saving in an economy. People naturally equate saving with investment, maybe thanks to the S=I identity. But it is not so simple. This post questions the relation between saving and investment (<a href="http://www.notesonthenextbust.com/2016/04/does-saving-equal-investment.html" target="_blank">link</a>).<br />
<br />
And on a similar theme, this earlier post bemoans the priority given to savers at the expense of workers and the damage caused by this (<a href="http://www.notesonthenextbust.com/2015/05/the-supremacy-of-savings-in-our.html" target="_blank">link</a>).<br />
<br />
Using the DBCF model makes you realise that technology taking people's jobs is not a threat but a real opportunity. But only if the fiscal policy is right and demand is maintained (<a href="http://www.notesonthenextbust.com/2015/04/is-technology-taking-peoples-jobs.html" target="_blank">link</a>).<br />
<br />
One of the practical uses of the model is calculating an affordable basic income (<a href="http://www.notesonthenextbust.com/2015/12/how-high-could-uk-universal-basic.html" target="_blank">link</a>).<br />
<br />
And I discuss here, in an early post, only demand driven inflation should be taken into account when deciding on monetary and fiscal policy. Supply driven inflation (eg caused by falling currency) should be completely ignored as acting upon it is very damaging (<a href="http://www.notesonthenextbust.com/2015/02/should-central-bank-target-domestic.html" target="_blank">link</a>).<br />
<br />
Finally, they don't have a category, but some other popular posts on this theme have been the following:<br />
<br />
This is an early post on how inequality grows with rising levels of debt (<a href="http://www.notesonthenextbust.com/2015/04/rising-inequality-explained-not-using-r.html" target="_blank">link</a>)<br />
<br />
And the theme of how our aversion to government debt and over-use of monetary policy is causing low growth, inequality and eventual social unrest is discussed here (<a href="http://www.notesonthenextbust.com/2016/07/the-incalculable-cost-of-our-aversion.html" target="_blank">link</a>).<br />
<br />
<h4 style="text-align: left;">
Eurozone impossibility of survival:</h4>
<h4 style="text-align: left;">
</h4>
Something else that becomes clear from the DBCF model is the impossibility of Eurozone survival.<br />
<br />
I write about the Eurozone low inflation slow moving train crash on Coppola Comment (<a href="http://www.coppolacomment.com/2016/03/a-three-point-plan-to-avert-disaster-in.html" target="_blank">link</a>)...<br />
<br />
...as well as in this post from during the Greek Crisis last year, in a post that was translated into Italian so obviously someone liked it (<a href="http://www.notesonthenextbust.com/2015/07/a-union-of-deflation-and-unemployment.html" target="_blank">link</a>).<br />
<br />
I would say that it is very unlikely, given current policy, that ECB short term rates will ever go above zero again. If they <i>ever</i> go above 1%, unless there is a huge coordinated fiscal boost, I will eat my shoes (as someone else once <a href="https://www.youtube.com/watch?v=gGNcxLDKeZ0" target="_blank">unwisely</a> said, but I havent learned a lesson).<br />
<br />
Any significant inflation will come only from supply side factors - lower Euro and rising commodity prices.<br />
<br />
<h4 style="text-align: left;">
Investment Stuff:</h4>
<h4 style="text-align: left;">
</h4>
<i>The Overwhelming Evidence that Market Leverage Significantly Destroys Shareholder Value</i> looks at how a huge volume of evidence shows that the more leverage a firm takes, the more shareholder money is wasted. It also shows how this evidence has been ignored for years because the demonstrable bad performance had been put down to mispricing by investors (<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2859363" target="_blank">link</a>).<br />
<br />
Another post looks at how, unless we are to get much higher nominal GDP growth (which can not happen as long as the aversion to higher government deficits continues), US shares are clearly very much overvalued compared to thirty year bonds (<a href="http://www.notesonthenextbust.com/2015/08/why-shares-are-too-expensive-and-while.html" target="_blank">link</a>). <br />
<br />
And this is a paper on portfolio management. To summarise, minimising correlation is a good policy (<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2861867" target="_blank">link</a>).<br />
<br />
<h4 style="text-align: left;">
Currency and current account balances:</h4>
<h4 style="text-align: left;">
</h4>
I have actually been working on a currency model. It tries to fundamentally explain the value of a currency, and it is intended to be used in place of a purchasing power parity model. Empirically it seems to fit, although getting the right data is almost impossible. I will probably write up a paper on this eventually, but the ideas are hinted at in this post about the pointlessness of devaluing your own currency (<a href="http://www.notesonthenextbust.com/2016/09/on-currency-devaluation-deliberate-and.html" target="_blank">link</a>)<br />
<br />
On a similar subject, see this post on the pointlessness of running a current account surplus; a post which also suggests that current account deficits, in context of free floating sovereign currencies, are usually more benign than people worry about (<a href="http://www.notesonthenextbust.com/2016/04/a-current-account-surplus-is-obviously.html" target="_blank">link</a>).<br />
<br />
<h4 style="text-align: left;">
Free Trade:</h4>
<h4 style="text-align: left;">
</h4>
<div style="text-align: left;">
Here, I propose argument that total free trade is not the optimal course of policy even for rich developed countries that are normally assumed to benefit (on the whole). Without fiscal transfers between winning and losing countries, it is actually in a country's interest to have a more balanced, diversified portfolio of industries than the free trade model allows (<a href="http://www.notesonthenextbust.com/2016/05/the-problem-with-ever-freer-trade.html" target="_blank">link</a>).<br />
<br />
This post looks at the UK in the context of EU membership, and why membership may have been bad for the UK economy (<a href="http://www.notesonthenextbust.com/2016/04/on-economics-of-brexit-and-argument.html" target="_blank">link</a>).</div>
<div style="text-align: left;">
<br /></div>
<h4 style="text-align: left;">
Complaints about textbook economics:</h4>
<h4 style="text-align: left;">
</h4>
Then there are just some moans about the ridiculousness of mainstream economic theory. I generally like to avoid conflict, but I can't stop myself sometimes. <br />
<br />
<i>On Maths and Models</i> looks at microfoundations and use of mathematics in economics (<a href="http://www.notesonthenextbust.com/2016/08/how-not-to-build-macroeconomic-model.html" target="_blank">link</a>).<br />
<br />
<i>Rents and GDP </i>discusses how rents are not consumption but a royalty paid to landowners granted a monopoly by the state. And how it has led to an overstatement of GDP growth (<a href="http://www.notesonthenextbust.com/2016/06/rents-and-gdp.html" target="_blank">link</a>).<br />
<br />
<i>Why Economic Modelling of Wages is so Political</i> shows that the assumption of medium term full employment means that the effect of low wages on demand is ignored by mainnstream economic models. This is a very right-wing assumption but it passes itself off as neutral (<a href="http://www.notesonthenextbust.com/2016/12/why-economic-modelling-of-wages-is-so.html" target="_blank">link</a>).<br />
<br />
<h3 style="text-align: center;">
A few last points:</h3>
<h3 style="text-align: center;">
</h3>
Well, that's about it. In some ways, maybe not having studied economics has helped me. I see so many highly intelligent people arguing the most ridiculous models of human behaviour, just because that was the model they were taught. Had I formally studied, could my medium-sized brain have avoided the fate that has befallen many greater minds?<br />
<br />
One great mind who did avoid the indoctrination is Steve Keen, who was an inspiration with his book Debunking Economics, as well as a very kind and generous person. I am very grateful to him. Particular thanks also to Frances Coppola as well as @LadyFoHF who has also been very generous. Were it not for these people I would probably be still writing for myself and a few internet trawling bots that found my page by accident. As it is, a few randoms like you appear here now and then.<br />
<br />
Finally, thanks to everyone who has read, commented on, shared and in some way interacted with me in the past couple of years. It has been great.</div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com8tag:blogger.com,1999:blog-1513588060557517621.post-61247074540505807192016-12-04T22:09:00.002+01:002016-12-04T22:24:18.493+01:00Why Economic Modelling of Wages is so Political<div dir="ltr" style="text-align: left;" trbidi="on">
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Noah Smith recently wrote <a href="http://noahpinionblog.blogspot.co.uk/2016/12/an-econ-theory-falsified.html" target="_blank">a post</a> about the theory of the labour market, one of the building blocks of Economics 101, and how it has been empirically falsified. He points to two pieces of evidence; first that new immigration does not push down wages as predicted, second that minimum wages do not tend to reduce employment as predicted.<br />
<br />
I think that he is completely correct here. The strange part really is how this could have been taught for so long as standard theory. The root of the problem is that Econ 101 teaches the job market like it is a market for goods. If the price is low, demand for the goods will be higher. Ditto, therefore, for workers.<br />
<br />
The reason that it is wrong, is that, as <a href="http://obela.org/system/files/kalecki2010.pdf" target="_blank">Kalecki </a>wrote so well about, workers are also consumers. Not only are they consumers but they are consumers who spend nearly all of their income on consumption. This means that the more is spent on wages, the more will be spent on goods on services, thus increasing demand for labour. This is exactly the opposite effect that Econ 101 teaches. Although higher minimum wages may mean some people lose jobs, they also potentially create more jobs.<br />
<br />
Standard labour theory actually argues that there is no such thing as medium term involuntary unemployment, only people choosing more leisure time. It is one of those things that is funny when you read it, but has very serious consequences. The model says that real wages will fall to a level where everyone who wants to can be employed, therefore involuntary unemployment is impossible. When faced with real life job queues, the answer given by the basic model is that it is because of labour market frictions. For frictions read that wages are artificially high. If only wages were allowed to fall low enough, everyone would be employed.<br />
<br />
This is patently not true. Although lowering wages is often suggested/forced on countries in crisis, as Greece shows, the result is to depress demand further into a downward spiral. The only possible way it can work is in a very open economy, where lowering of wages and a devaluation of currency crush workers wages to an extent that exports can make up for lost demand. However the cost of this policy is that the country is poorer by the end.<br />
<br />
In response to Smith's post, some economists did argue that he was misrepresenting what they actually teach; that this goes beyond the basic theory. That they use a 'general equilibrium model' in which, for example immigration can increase demand as well as worker supply.<br />
<br />
However, this really doesn't go far enough. To explain why, you need to look at the basic equilibrium model that mainstream economics uses. It says that an economy is always at full employment, with the exception of short term shocks to the system. There is a natural rate of unemployment, for every economy and this depends on the frictions caused by unions (or sometimes employers to retain staff) making wages too high and achieving workers rights.<br />
<br />
How did they just assume full employment, you may ask? Well, the model was built looking at the time since 1945 when Keynesian fiscal policy allied to large private sector credit expansion, meant that the economy more or less was always running at full employment. But they didn't realise it was because of credit expansion that they were getting the full employment, so instead they just assumed it was natural.<br />
<br />
Incredibly, credit expansion is not in mainstream economic models as a driver of growth. Inflation comes from increase in the base money supply or something. This is a major problem, as the economy is a flow of money and new credit is the <a href="http://www.notesonthenextbust.com/2016/03/the-economy-simply-explained.html" target="_blank">main driver of growth</a>. Steve Keen's graphs where he plots credit expansion against unemployment, house prices and GDP growth (eg <a href="http://www.notesonthenextbust.com/2016/03/the-economy-simply-explained.html" target="_blank"> here</a>) are eye-opening in this regard.
<br />
<br />
So they assumed full employment. This is a very pernicious assumption. Why? Because it laid the groundwork for the financialisation of the economy and for the rentier-capitalist economy that we appear to have been working towards since the 1980s.<br />
<br />
The assumption of full employment means that wages can be kept as low as you want without affecting demand. If demand is assumed then the only thing that is important is that supply is kept high. The eventual conclusion from this is the Chamley Judd theorum, which states that taxes on capital should be zero as the more money that goes to investors, the more they will invest and the more supply we will have. The same is true for the rich, a.k.a. the 'Wealth Creators'. Reaganomics is given backing by the economics profession.<br />
<br />
Supply side stopped being about building infrastructure and education, and became about giving tax cuts to rich people.<br />
<br />
In this model, fiscal deficits are only necessary to counteract short term shocks and monetary policy (private sector debt) must be used instead.
<br />
What was the effect of this? Demand shrank even further. Economic growth since the 1980s has been considerably slower than the period between 1945 and 1975, and the growth that was achieved required larger and larger (eventually unsustainable) private sector debt.<br />
<br />
So the problem with Econ 101 goes much deeper than that it gets wages wrong. The assumption of full employment is the one that gives free reign to rentier capitalism. Why do economists teach it? <a href="http://delong.typepad.com/kalecki43.pdf" target="_blank">Kalecki has a theory here too</a>.</div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com3tag:blogger.com,1999:blog-1513588060557517621.post-61759981011805101002016-11-10T10:18:00.001+01:002016-11-12T11:46:00.086+01:00The Economic Consequences of Trump<div dir="ltr" style="text-align: left;" trbidi="on">
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On a personal level, I am appalled by President Trump. His personality has no redeeming features. He is vain, petty and nasty. His stirring up of racial tensions risks creating a monster. His misogyny is particularly unbecoming. His authoritarian impulses can only be described as fascist (although fortunately <a href="https://www.ft.com/content/9d3ba14f-4f16-3684-93fd-684942206473" target="_blank">without a personal army</a>). His habit of lashing out every time he feels personally slighted is dangerous. Honestly speaking, the thought of him as president makes me feel physically sick. <br />
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On a policy level I am particularly worried about the damage done to the environment by the combination of Trump and a Republican congress - which could undo the fragile progress made in Paris towards reducing global greenhouse gas emissions.<br />
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But economically I think there is a reasonable chance that he will bring large economic growth and I can see him being seen to be a great success based on this alone. For me the real shame is that some of his policies were not enacted sooner; if so we would not have seen Trump (or Brexit in the UK, or any of the right wing leaders who have been gaining popularity in the austerity world).<br />
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People argue that the US has been running government deficits already but the problem is that the size of deficits required to keep the economy growing has <a href="http://www.notesonthenextbust.com/2015/06/the-government-must-run-deficits-even.html" target="_blank">increased a lot with the increase in private sector debt and inequality</a>. In fact Obama's deficits, although higher than Europe (hence the greater GDP growth in the US than Europe since 2008) have been lower than required. The economy is still running a long way under capacity, as evidenced by the <a href="http://www.tradingeconomics.com/united-states/productivity" target="_blank">marked decline</a> in the productivity growth rate since 2008.<br />
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No-one really knows exactly what he will do, and for this reason this is somewhat speculative. But if we divide his actions into three main categories we can look at potential impacts of each one.<br />
<b><br /></b>
<b>1) Deficit Infrastructure Spending: </b>There is talk of a 2 trillion infrastructure project. This works out as around 3% of GDP each year spent. If this were done alone with no offsetting policies, then even ignoring the increase in future capacity, I think we would be looking at a minimum of 2% more real GDP growth per year. Trump's 4% per year growth figure is very much achievable and would bring great benefits to the nation as a whole - improving the lives of many of the people who voted for him.<br />
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<b>2) Very Large Tax Cuts: </b>Here the outlook is not so good. Some of his proposed tax cuts - for low earners - would have a very high multiplier on growth and would stimulate the economy. These would be very beneficial.<br />
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However, the cuts in taxes for rich people, corporations and on inheritance tax would have minimal effect on demand. They would not increase growth and they also build up problems for the future. The problem is that all of the inequality in wealth created by this makes the economy's saving rate higher. More of the return from GDP goes in interest, rentals and dividend payments for those who do not spend. This means that a) the government debt increases today, and b) the size of government deficits required in the future will be larger.<br />
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A big question will be how are the tax cuts and infrastructure spending funded. If it is not with new debt, as assumed above, but actually with reduction of spending on other programmes, then the benefits will be mitigated or even could be negative. A small increase in demand from tax cuts to the rich combined with a large decrease in demand from cutting social security will be net negative.<br />
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<b>3) Protectionist Trade Policy: </b>This is a lot more uncertain. Marginally higher tariffs overall do not greatly reduce growth, despite the rhetoric on the subject. The main problem would be in transition from one system to another - causing large disruption. The US is in a fortunate position here, because it is large enough to dictate terms.<br />
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There may be some inflation in the US from the supply side, as imports get more expensive or firms re-shore their offshore operations with increased costs. But this will somewhat be offset by greater job opportunities in the US, and in any case the economic growth from the fiscal policy should dwarf this.<br />
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Overall, if Donald Trump doesn't mess this up, he could easily be returned for another 4 year term in a landslide in 2020.<br />
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<i>Update 12 Nov 16: </i>Looking at Trump's actual plans I think I was totally over-optimistic. They appear to be a turbocharged domestic neoliberalism, with a protectionist trade policy.<br />
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Trump appears to be doing the bad parts of the above (tax cuts for the rich, protectionist disruption) without much of the good (tax cuts for the poor and middle class, infrastructure building). The infrastructure plans are 'revenue neutral' and not as large as thought. <a href="https://newrepublic.com/article/138674/beware-donald-trumps-infrastructure-plan" target="_blank">Probably this involves</a> some of the disastrous public private partnerships we have seen in the UK which pay large profits to private companies while loading all the losses on the government.<br />
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I think that with a Republican congress, there is a great opportunity for Trump to do what Obama couldn't and run deficits for infrastructure. Unfortunately it appears at the moment that the priority is increasing the gap between rich and poor and making the economic situation worse.<br />
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Anyway, we still don't know so hopefully there will be some good surprises to come.<br />
<br /></div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com1tag:blogger.com,1999:blog-1513588060557517621.post-61618262708687068382016-10-27T10:30:00.004+02:002016-10-27T10:36:39.129+02:00The Overwhelming Evidence that Market Leverage Significantly Destroys Shareholder Value
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I have recently written a paper, entitled <i>'Leverage as a Weapon of Mass Shareholder-Value Destruction; Another Look at the Low-Beta Anomaly' </i>which <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2859363" target="_blank">can be downloaded here</a>.<br />
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It challenges the idea that adding debt to a balance sheet in any way makes a company more efficient - in fact it suggests that it leads to significant loss of shareholder value. It uses the fact of the (very well researched) 'low-beta' anomaly, which shows that higher risk stocks significantly under-perform lower risk stocks in the long term; the current explanations for which are based on the idea that investors mis-price these stocks for behavioral reasons. I show that this can not possibly explain the anomaly and that there must be a destruction of shareholder value of the order of around 8-10% per year between the highest and lowest leveraged stocks.<br />
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This goes against all shareholder activist lobbying that adding debt is good. It is good for management, and it is good for the financial sector but it is not good for shareholders.<br />
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A quote from the paper explaining possible reasons is included below:<br />
<blockquote class="tr_bq">
<i>Whatever the source of the market leverage, some effects are the same. Since the market tends to rise in the long run, a firm with more market leverage would expect higher profits per share and larger share price increases. These expected higher profits and higher share prices have nothing to do with the skill of the company's management; they are merely a consequence of higher leverage.<br /> <br />Unfortunately, history shows that managers as a group tend to lack the necessary humility to identify leverage as the driver behind their better returns. If hubris is not a universal trait amongst managers of a leveraged ship riding a rising tide, at the very least one could point to numerous examples where it exists. Over-confidence in one's managerial skill can result in sub-optimal decision making, perhaps culminating in purchases of other companies at inflated valuations in the belief that the magic touch can be applied to them too. There is no doubt that many mergers and aquisitions are value destroying (see Moeller et al. 2004 for market reaction to acquirers); it would make sense that the ones most likely to be most value destroying are the ones where managers had false belief in their skill. Easy success can definitely lead to sub-optimal decision making, and it would be no surprise if it turned out that this were the case in practice.</i></blockquote>
<blockquote class="tr_bq">
<i>Unearned success for the company may lead to other suboptimal decisions. The board may decide they need to travel by private jet. The CEO may want to sponsor a Formula One team. Offices may be upgraded. If a company is doing better than its competitors, very few people will notice that it is not doing quite as well as it should be, given its leverage.</i> </blockquote>
<blockquote class="tr_bq">
<i>On top of this, manager compensation is often linked to share price or profit targets. This means that even though managers display no more skill, in a company with higher leverage, shareholders will pay more money to executives. These payments are not recouped if the share price then falls, so even if the market as a whole does not go up on average, the higher the leverage, the higher the expected payouts. This pay structure intrinsically encourages more leverage, since the managers are effectively being given an option whose value, like that of all options, is higher under conditions of higher volatility.</i></blockquote>
<blockquote class="tr_bq">
<i>Similarly costly, debt issuance means large fees to bankers. In general, financialisation of a company in this way can result in higher fees paid to intermediaries. These arise both as direct charges for debt issuance (with the initial debt offering and subsequent refinancing), and from increased need for costly underwriting of rights issues or other equity capital raising.</i></blockquote>
<blockquote class="tr_bq">
<i>High interest payments can often lead to a company cannibalising research and longer-term investment in order to meet payments and maintain dividends. High debt companies may be more short-term in their outlook. And although dividends are more flexible in a downturn, linking company payouts to performance of the company, debt interest must always be paid regardless of the longer-term consequences.<br /> <br />Another possible reason for suboptimality of high beta portfolios comes from the idea that the market volatility of a company can be a lot higher than the fundamental volatility of the company’s prospects. The fact that many CTA funds successfully trade momentum strategies suggests that this is the case for indices. The momentum of single stocks relative to the index is documented by, for example, Moskowitz et al (2012). The tendency of share prices to overshoot on both the upside and the downside is a result of of investor herding and risk aversion, as well as general uncertainty and the impossibility of accurately identifying fundamental value. At the same time, the future of a company's share price is path dependent. If the share price comes close to zero, bond holders will force the company into administration. If it subsequently turns out that the market had moved too far, it is too late for the shareholders. Rising leverage therefore increases unnecessary bankruptcies. If it is true that market volatility is higher than fundamental volatility, then the bond holders' option is worth more and the shareholders (who are writing the option) lose out.</i></blockquote>
<blockquote class="tr_bq">
<i>Often there may be tax benefits for choosing debt over equity (eg. Graham 2000). Whatever benefits these give to shareholders, however, appear to be dwarfed by the costs.</i></blockquote>
<blockquote class="tr_bq">
<i>It should be noted that the argument here is not whether returns can be increased by taking on debt. In general, taking on moderate levels of debt will increase company profitability per share. But if an investor wishes to take higher risk and make higher returns, then they can do this by borrowing money on their own account and investing in lower-risk shares. The point is that investors may be better off borrowing themselves than allowing the company to borrow on their behalf. In fact, fund managers can often borrow at a lower rate than corporates because of the liquidity of their underlying positions. The evidence appears to suggest that by borrowing on behalf of the investors, managers are increasing their own compensation and possibly running the company suboptimally. </i></blockquote>
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The abstract is as follows:<br />
<br />
<blockquote class="tr_bq" style="text-align: justify;">
The 'low-beta' or 'low-volatility anomaly' is one of the most researched in the field of 'alternative beta'. Despite strong published evidence going back to the 1970s that high beta/volatility stocks underperform relative to expectations generated by the Capital Asset Pricing Model (CAPM), the anomaly still persists. The explanations given for this are all behavioural; that investor biases lead to overpricing of high volatility stocks. This paper shows that investor biases cannot be the explanation for the anomaly. Instead, it is proposed that the anomaly stems from a destruction of shareholder value. The strong implication is that the more market leverage a firm has, the more shareholder value is destroyed. Although the prevailing view for a long time has been that adding debt is good for shareholders, making balance sheets more 'efficient', there is in fact a considerable volume of evidence that the opposite is true; evidence which has been incorrectly interpreted for many years. Some possible mechanisms for this shareholder-value destruction are proposed. </blockquote>
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<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2859363" target="_blank">Download the paper.</a></div>
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com0tag:blogger.com,1999:blog-1513588060557517621.post-50360968721366301132016-09-27T16:04:00.003+02:002016-09-27T16:08:14.997+02:00On Currency Devaluation (Deliberate and Otherwise)
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It is an unstated central bank policy in many parts of the world to reduce the value of their currency to below its fair value. The reason for doing so is 'competitiveness'. A weaker currency means lower global prices for your goods and hence increases your exports, while at the same time reducing imports. Since a fundamental equation of economics says that GDP = C+I+G+X, or consumption plus investment plus government expenditure plus net exports; it would appear self evident that an increase in net exports would increase GDP.<br />
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This is, unfortunately, completely wrong. There are two ways that it is wrong, both pretty fundamental:<br />
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<ol style="text-align: left;">
<li>As a recent Bloomberg <a href="http://www.bloomberg.com/news/articles/2016-09-25/a-weaker-currency-is-no-longer-the-economic-elixir-it-once-was" target="_blank">report</a> discusses, a reduction in currency does not necessarily increase net exports. </li>
<li>Any increase in net exports comes at the expense of an offsetting decline in domestic consumption/investment (C+I+G). Thus giving no net economic growth.</li>
</ol>
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In <a href="http://www.notesonthenextbust.com/2016/04/a-current-account-surplus-is-obviously.html" target="_blank">this previous post</a>, I give empirical evidence that there appears to be no benefit to running a current account surplus in terms of GDP growth, or even any benefit regarding private and public sector debt build-up. In this post, I really just want to show how theoretically false the whole paradigm is.<br />
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This post will be divided into 5 short sections. The first discusses how a sovereign government already has all the tools it needs to run an economy at capacity. Section 2 will discuss the circumstances in which a reduction in currency will or won't increase net exports. Section 3 discusses how an increase in net exports reduces domestic demand. Section 4 discusses reasons for running a surplus/deficit, then 5 discusses what to do if a deficit is forced upon you.<br />
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<div style="text-align: center;">
<b>1. The Capacity of an Economy</b></div>
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The capacity of an economy is how much it can produce if everyone is employed in their most productive roles. For example if an economy consists of a shoe factory that has space for 1000 workers, each of whom can produce 1000 shoes; the capacity of the economy is 1,000,000 shoes and there are jobs available for 1,000 workers.</div>
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The factory can run under capacity by employing only 800 workers and producing only 800,000 shoes. On the other hand, capacity can be increased by investing in new machinery that enables workers to produce 1200 shoes per worker. </div>
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Next, we can look at the role of demand. If people want to buy 1m shoes, for the price they cost to make plus a markup, the factory will be able to employ all 1,000 workers. If there is only demand for 800,000 shoes it must lay off workers and run below capacity. If there is demand for 1.2m shoes then initially the price will go up (inflation) but eventually investment will be made to increase supply capacity.<br />
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The role of demand here is extremely simple and very obvious. Demand must be high enough for the factory to run at capacity. If demand is higher than supply we get inflation but also an increase in supply in the future.<br />
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Unfortunately much of the discussion about a productivity slow-down seems to focus on supply issues rather than the obvious demand issues. And still the lack of demand goes unaddressed.<br />
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If a government (which has control of its own currency) wants to increase demand so that an economy runs at capacity and invests in increasing capacity, what does it need to do? It needs to make sure that the government deficit is high enough to get enough money flowing through the system to keep inflation at its target (note that inflation in this context means inflation of prices of domestic goods and services, not inflation imported because of falling exchange rate etc).<br />
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This is a complex subject, but I discuss it more in a blog post <a href="http://www.notesonthenextbust.com/2015/06/the-government-must-run-deficits-even.html" target="_blank">here</a> and in my paper on the subject <a href="http://www.notesonthenextbust.com/2016/02/latest-version-of-my-dbcf-model-paper.html" target="_blank">here</a>. Using monetary policy is a terrible idea as I discuss <a href="http://www.notesonthenextbust.com/2016/02/why-it-is-so-important-to-use.html" target="_blank">here</a> (with simulations). Fiscal policy is the only way to do this without creating bubbles, exacerbating inequality and damaging future growth.<br />
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So there is a very simple way for the government to ensure full employment and an economy running at capacity. It involves investment to increase capacity and enough deficit spending to keep demand high enough to fill the capacity. There is no reason to try to take demand from abroad.<br />
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This does not stop countries trying it though.<br />
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<div style="text-align: center;">
<b>2. Does an fall in currency increase net exports?</b></div>
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To answer this question, we need to differentiate between different types of devaluations of currency. In order to do so, we need to look at a simple identity that a current account surplus is equal to your capital account deficit; the only way to run a current account surplus is to net invest your savings in another country (this subject is very well described by <a href="https://www.amazon.co.uk/Great-Rebalancing-Conflict-Perilous-Economy/dp/0691163626/ref=asap_bc?ie=UTF8" target="_blank">Michael Pettis</a>). Likewise the only way to have a current account deficit is if people in other countries invest their savings in your economy.<br />
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This means that in the absence of any saving in foreign economies, the current account balance (which in the absence of any previous investments is equal to the trade balance) must be zero. The only change to net exports (ignoring exchange of foreign investment income) will come if there is a change in the net amount of capital invested in the country.<br />
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So, to give an example quoted in the Bloomberg piece, Pound Sterling fell by 19% against the US dollar in the two years to 2009. What was the reason for this change? The productivity, and expectation of future productivity, of the UK economy fell vs that of the US economy. Was the exchange rate in 2009 artificially low? No. Was there more money being taken out of the UK than put in as investment? No. In fact, there was still money coming into the UK from countries pursuing policies that lowered their own exchange rate. So should there be an increase in net exports? No,<br />
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Regarding the fall in GBP caused by Brexit, what are the causes? If it is a withdrawal of investment from the UK, or if it is caused by speculative bets against the Pound, then we would expect to see the trade deficit narrowing. I don't believe that this will prove to be the case, as the surplus countries still need somewhere to put their savings. If it is just caused by an expectation of weaker economic performance in the UK then there is no reason for the current account deficit to narrow.<br />
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Looking at the fall in the Japanese Yen caused by the monetary policy of the Bank of Japan (BoJ), we need to look again at the reason for the fall.<br />
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The important thing I want to say here is that quantitative easing policies should not much weaken the currency. In practice they have caused very large fluctuations (the USDJPY exchange rate at one stage went up by 65%), but I would argue that these are market over-reactions. The reason is that all QE does is to swap one form of savings (cash) for another (government bonds). To the extent that it reduces the real interest rate (It slightly increases inflation and slightly lowers the interest rate) it should have a moderate impact. But the size of the move in Yen was much to large for the impact of the actual QE (as I said <a href="http://www.notesonthenextbust.com/2015/02/why-i-am-short-audjpy.html" target="_blank">in February last year</a> when I said Yen was the most undervalued currency in the world). As such, the move was largely driven by speculative flows, not fundamental changes in the value of the output of the two countries.<br />
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If hedge funds were building up short positions in Yen then this is a reason for a short term current account surplus, which will be reversed as hedge funds take opposite positions. The longer term impact would come from investment flows going out of Japan and into the rest of the world.<br />
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To find the sure-fire way to increase your net exports, one need look no further than the Swiss National Bank (SNB). The simple and reliable way to increase your net exports is to print your own currency, sell it and buy foreign currency with it. By investing in the foreign economy you are increasing your capital account deficit, thus increasing your current account surplus. This also involves a weakening of the currency. By directly investing abroad, this is the only method of the three discussed that definitely increases net exports relative to the baseline.<br />
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To summarise, a change in net exports can be approximated as a change in investment out of a country. Thus simply doing economically poorly will not increase net exports. Nor will making good products (people seem to think that Germany's surplus is because of the quality of their exports rather than their saving abroad) or engaging in QE. But direct investment abroad both weakens currency and increases net exports.<br />
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<div style="text-align: center;">
<br /></div>
<div style="text-align: center;">
<span style="font-weight: bold;">3. Does an increase in exports increase GDP?</span></div>
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<span style="text-align: center;">No. </span><br />
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In order to increase exports, more savings need to flow out of the country than flow into the country. This means that relative to the baseline scenario, more money needs to be saved. There are a number of ways to do this; by suppressing worker share of GDP, by use of tariffs, by use of sovereign wealth fund. But however it is done, this subtracts from domestic demand. It keeps consumer buying power lower. Looking at the equation above, if X goes up (C+I+G) must go down to compensate.<br />
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An artificially low exchange rate is bad for the people of the affected country. The goods they import cost more and their wages are relatively too low for their productivity. Overall they consume and domestically invest less than they would have. It is good for exporting companies, however, who benefit from more sales abroad in domestic currency terms, and higher profit margins.<br />
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As such it is just a transfer from workers and other consumers to exporters. There is <a href="http://www.notesonthenextbust.com/2016/04/a-current-account-surplus-is-obviously.html" target="_blank">no empirical link</a> between higher current account surpluses and higher real GDP growth.<br />
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<div style="text-align: center;">
<span style="font-weight: bold;">4. So is there any point in a surplus?</span></div>
<span style="font-weight: bold; text-align: center;"><br /></span>
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There are some occasions when a surplus is appropriate. If you are a commodity producer, whose commodity is running out, there are two reasons to run a sovereign wealth fund. The first is to build up savings in other countries, claims against their future production, that can be spent when the commodity runs out. This smooths consumption so that you save when times are good and spend when times are not so good. The other reason is that it lowers the currency so that other industries become more competitive than they otherwise would have been. It helps to mitigate 'Dutch Disease'.<br />
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A small country that is not that diversified in its industry may also wish to build up a buffer in case of cyclical or structural decline in that industry. This is understandable and not too destabilising for the rest of the world.<br />
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Who should run a deficit then? This would be countries that are starting with a low industrial base, whose productivity can be largely increased by capital investment. By intelligently using capital, they can increase future productivity by enough to pay back the loans. Note that this should always be either in equity or domestic currency. Foreign currency loans are a disaster waiting to happen when downturn strikes.<br />
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<div style="text-align: center;">
<span style="font-weight: bold;">5. Help, I have a current account deficit, what should I do?</span></div>
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This is actually a simple problem to solve for any country with control of their currency. The deficit is caused by other countries' savers investing in your economy, building up claims on your future production. In fact, most of these claims will never be claimed - savings have a way of just accumulating indefinitely - but you are feeling a bit uncomfortable about the situation where you owe so much.<br />
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All you have to do is<br />
<br />
<ol style="text-align: left;">
<li>Build up your own sovereign wealth fund whereby you print the equivalent of the deficit in your own currency and sell it to buy foreign bonds and stocks. This is exactly what the SNB has been doing. This lowers your currency to fair value and removes your deficit.</li>
<li>Make up for the lost demand with a government deficit large enough to keep domestic inflation at target.</li>
</ol>
<div>
This is all. Philip Hammond, you're welcome. I doubt the advice will be followed though.</div>
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com2tag:blogger.com,1999:blog-1513588060557517621.post-44968960298266779582016-08-20T21:43:00.000+02:002016-08-21T10:19:10.676+02:00On Maths and Models<div dir="ltr" style="text-align: left;" trbidi="on">
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Every now and then a debate seems to flare up about economic models. A recent one started with <a href="https://www.bloomberg.com/view/articles/2016-08-08/economics-without-math-is-trendy-but-it-doesn-t-add-up" target="_blank">Noah Smith arguing</a> (in reply to <a href="http://evonomics.com/what-unpopular-music-can-teach-us-about-the-future-of-economics/" target="_blank">Frances Coppola</a>), that heterodox economics does not have the tools to replace mainstream economics. Steve Keen gave an excellent <a href="http://econintersect.com/pages/opinion/opinion.php?post=201608152241" target="_blank">point by point reply</a> about the mathematical quality of heterodox work. Then Frances also wrote <a href="http://www.coppolacomment.com/2016/08/the-art-of-economics.html" target="_blank">a reply</a> and <a href="http://www.coppolacomment.com/2016/08/no-please-dont-show-me-your-model.html" target="_blank">then another</a>, which I agree with, pointing out that an understanding of the economy does not require maths. Where maths can be used to formalise this understanding, it is very useful. But economics is not a mathematical equation.<br />
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I say this from the point of view of someone with a PhD in mathematics, but whose job is to predict the behaviour of systems, specifically financial systems. And I know that in describing a system, parsimony is king. One should use as much maths as is necessary and not a bit more. The more complex the maths, generally the worse the predictive power.<br />
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The economy is a very complex system. It is non-linear with a huge number of unknowns. For this reason prediction is difficult. This seems to have meant that any degree of poor prediction is excused on the grounds that no-one can predict the future. I recommend everyone read this excellent Noah Smith <a href="http://noahpinionblog.blogspot.co.uk/2013/05/what-can-you-do-with-dsge-model.html" target="_blank">blog post </a>from 2013 which was only let down by the somewhat cowardly conclusion. It shows DSGE models are not useful as predictions - he points to <a href="http://econ.upf.edu/~brossi/GKR2013_April20.pdf" target="_blank">this paper</a> showing that DSGE models are no better than simple <a href="https://en.wikipedia.org/wiki/Autoregressive_model" target="_blank">univariate autoregression </a>(AR) models at predicting inflation and GDP growth. Bearing in mind AR models are just simple mean reversion models this is a pretty categorical failure. He then argues that they are neither good for policy advice nor even for communication of ideas, before concluding that we should continue with them as the are the 'only game in town'.<br />
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Saying that the economy can't be predicted because it is too complex and no-one knows the future is a big cop out for me. No-one could have predicted with any degree of certainty that the global financial crisis would happen in 2008. This is because it is impossible to predict the timing of events of this nature that depend on triggers and positive feedback loops. It also depends on policy reaction. For example, a possible crash in China early this year was averted by a large government spending programme. But what heteredox economics has done is give keys to understanding the nature of the economy.<br />
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If we know that a crash is going to come if we let private sector debt build up, then we will try to reduce the build up of private sector debt. If we know that government debt is benign, then we will use that to grow the economy rather than private credit, share buybacks and house price rises. We don't need any maths to understand this. As I said in a tweet, in my opinion the main thing maths has given macroeconomics is the ability to be more precisely completely wrong.<br />
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Defenders of the economic orthodoxy generally say that they understand that their models have not done the best in the past, but that they are flexible so can be adapted to include whatever you want. This is sort of true, but to start where they are starting from is insane.<br />
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As a builder of models I would like to humbly offer this advice to macroeconomists about building a model to describe the economy. I have made my own attempt <a href="http://www.notesonthenextbust.com/2015/12/working-paper-relationship-between-high.html" target="_blank">here</a>, and obviously I think it is a pretty good description. But in any case, I would advise the following:<br />
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<b>How Not to Build a Macroeconomic Model</b><br />
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1) <b>Microfoundations: </b>Would a pollster make a prediction for an election based upon what they thought each rational voter should do, and building up to the whole population assuming they all think independently? Of course they wouldn't. They model it by asking people and then using known relationships between people you ask and the population as a whole. There is no reason whatsoever to model the economy as individual independent rational agents and in fact it is completely incorrect to do so. People do not behave independently and the aggregate must be modelled not the individuals.<br />
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2) <b>Rationality: </b>Why would you assume rationality? It is completely unnecessary and also completely false to suggest that people act rationally at all. It is certainly false to assume that rationality includes perfect knowledge of the future and that Ricardian equivalence holds. All assumptions about peoples behaviour should be testable.<br />
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3) <b>Loanable funds:</b> It is completely wrong to model money as if there is a finite amount of it that is simply loaned by more patient people to invest. Banks create credit, corporations and governments issue bonds. This expansion of the money supply allows growth to happen. And also can create instability. Any model that misses this out will be unable to describe the economy correctly.<br />
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4) <b>Interest rate effects: </b>interest rate cuts boost the economy through two main channels. First, they increases the amount of private sector debt, meaning more money in the economy. Second they boost asset prices, because lower interest rates (increasing bond prices) and reduce the discount rate for risk assets thus making their price rise.<br />
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The problem with loanable funds is that if interest rates are cut, it means all growth in spending must now come from rational agents choosing to spend more of their income rather than save - the 'rational' logic being that they will save less if they get less interest as it means future consumption is higher (and their target is to maximise their utility from consumption). As Eric Lonergan <a href="https://www.ft.com/content/b9c48db8-6075-11e6-ae3f-77baadeb1c93" target="_blank">argued</a> recently there is not even any evidence for this. One could argue that if people save for a target then the opposite is true - lower interest rates mean a rational person saves more. Any model needs to correctly account for why changes in important variables work. Being wrong about this particular one has led to a spectacular build up in private sector debt over the past 40 years.<br />
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5) <b>No financial sector:</b> the growth of debt has led to a huge increase in the size of the financial sector. Or maybe partly the other way around. Whichever it is, there are both distributional impacts and stability impacts. The instability is very well covered by Steve Keen with his Minsky model. The distribution impacts are looked at in my <a href="http://www.notesonthenextbust.com/2015/12/working-paper-relationship-between-high.html" target="_blank">paper</a> but involve interest payments going from those with a high marginal propensity to consume (MPC) to those with a lower MPC. Also included in this could be the increase in corporate profits as a share of GDP - something that has the same effect. The instability and inequality must be a part of the model or the economy can not be properly understood.<br />
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<b>What does this mean? </b><br />
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Yes, it may be possible to adjust the current models to include all of these things, but really why bother to try? The difficulty of trying to adapt a completely inappropriate and incorrect model to reality is much higher than simply starting again. And the starting point in my view must be a stock flow consistent money approach as <a href="https://en.wikipedia.org/wiki/Sectoral_balances" target="_blank">pioneered by</a> Wynne Godley.<br />
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Addendum: Noah Smith <a href="http://noahpinionblog.blogspot.co.uk/2016/08/heterodox-macro-reply-to-some-replies.html">replied</a> to a few responses to his post, including this one and he made a fair point. In criticising microfoundations, I am apparently also ruling out agent-based models. I am not meaning to do this as these types of models, where individual agents interact with each other, are excellent for studying the emergent properties of certain systems. If I could divide economic modelling into two separate themes, it would be 1) models used for short term prediction (these should be as simple as possible) and 2) models used to help understand the system. Into category 2 would fall Steve Keen's Minsky model and as well as these agent based models. I think that Smith is right that one day the type 2 models could become type 1 models. Unfortunately standard mainstream models are of neither type.<br />
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Also, he is right that the Financial sector is something that should be included so doesn't really fit under the heading. So I have changed the sub-heading to to 'No Financial Sector'.<br />
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com7tag:blogger.com,1999:blog-1513588060557517621.post-4370058783108444292016-07-04T22:06:00.004+02:002016-07-05T10:18:49.958+02:00The Incalculable Cost of our Aversion to Government Debt<div dir="ltr" style="text-align: left;" trbidi="on">
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I was speaking to <a href="http://www.coppolacomment.com/2016/06/who-is-really-to-blame-for-brexit.html" target="_blank">Tom Streithorst </a>at the FT Festival of Finance last week and he was pointing out that almost every single person there knows that the government needs to run larger deficits and invest more. But what we don't know is how to get that idea into the public consciousness. The public, by and large, along with the departing Conservative administration, see the government budget as like that of a household. One should not live outside of ones means, the argument goes.<br />
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It came to me that if I were forced to choose just one thing that I wish could be conveyed and understood, it would be that in a sovereign money state (a state that can print its own currency) the size of the government debt is more or less irrelevant.<br />
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Why is this? Simply speaking, a government can print its own money, through its central bank. The government produces money so it can never run out. It has no need to ever default. Assuming that the buyers of bonds have confidence that inflation will not devalue their savings, the government can always borrow to pay the interest and to keep spending. And in the last resort, the central bank can buy the bonds. Markets know this, which is why the interest rate on 10 year UK government debt fell below 1% per year after Brexit. Time and time again, the market proves that credible sovereign governments can borrow as much as they want at a reasonable rate; Japan being the obvious example with over 200% government debt to GDP (note that this is not true in the Eurozone, where the governments negligently gave away their necessary central bank functions to the ECB and now effectively borrow in a foreign currency). Frances Coppola actually argues that more government debt can be <a href="http://www.coppolacomment.com/2015/09/rethinking-government-debt.html" target="_blank">actually better</a> than less because it allows savers safe assets to put their savings into.<br />
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Does that mean that the government can spend anything it wants? Absolutely not. There is a real resource constraint. In the end, the available labour in a country must be allocated somewhere. If a government, for example, spends more on the NHS then it must take labour from elsewhere. If the government spends too much money overall, then wages will rise and, in turn, so will the price of goods and services; we will get inflation.<br />
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But there are two important points here. The first is that the constraint on government spending is only the constraint on inflation. If domestic inflation is under 3% then, although one could argue that the government mis-spends (eg. too much on defence and not enough on education, or that it should spend less and tax less), one should not (in my opinion) argue that the government is running too large a deficit. Whatever deficit exists is a necessary deficit because it keeps enough money flowing through the economy to keep economic activity running smoothly. This idea is explained in more detail in <a href="http://www.notesonthenextbust.com/2016/03/the-economy-simply-explained.html" target="_blank">this post</a>.<br />
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If one accepts that the size of the debt doesn't matter assuming bond buyers are confident that the government keeps its inflation credibility, then it logically must follow that hitting the inflation target is the right level of borrowing.<br />
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Some people worry about huge inflation in the future if we keep borrowing. All this money is produced, they argue, so when people decide to spend it, it will cause hyperinflation. This is to misunderstand what is happening.<br />
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The economy is structurally saving money every year due to a large share of the product of the economy going in dividends, rentals and interest to people who save most of their income. A shrinking share is going in wages to workers who spend most of their income. For more money to be spent, this structural shift will have to reverse. This is a very slow process. Hopefully this shift will happen, and at that time the government can reduce its deficits and possibly one day run a surplus again. But there can not be a sudden change where everybody decides to spend all of their money. A possible exception to this would be if everyone expected hyperinflation, but certainly it will not happen if the government keeps its credibility regarding inflation.<br />
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The second point is to do with productivity. It is not a zero-sum game. At the aforementioned FT Festival, there was a panel discussing the productivity puzzle, or why productivity has declined. Typically all sorts of reasons can be found, from demographics to the fact that many services are now free (like Wikipedia) which do not show up in GDP. All of these are valid, but at the same time we have great hubs of technology and our world networks are more connected than ever before. Information spreads faster than ever and thus so should the rate of progress. I can't believe that all productivity improvements have been given away for free.<br />
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But regardless of what I think about this, I would like to ask you to look at the below graph (from <a href="http://www.notesonthenextbust.com/2015/06/the-uk-employment-miracle.html" target="_blank">this post</a> on the UK productivity puzzle). It can be clearly seen that productivity, far from slowly declining, was all going well until 2008. Then, suddenly, it stopped. Did suddenly everything become free in 2008? Did everyone become old in 2008? The only thing that really changed in 2008 was that we stopped sending enough money around the system. First with the financial crisis, and then with the austerity imposed.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6kEZf0GAFGMEa5ddJb8SE7SVyiR_UhLoT6ULisCNLB4TKlgVswWrFxeXxTXFxLPLWNw2tEC8VnUQyfmUFqb7lH2BLHVXQR1-4vt42I4dg_phK0BzRYkckL2fBKf_jk869t-GtjNd71TT9/s1600/UK_productivity.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="350" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6kEZf0GAFGMEa5ddJb8SE7SVyiR_UhLoT6ULisCNLB4TKlgVswWrFxeXxTXFxLPLWNw2tEC8VnUQyfmUFqb7lH2BLHVXQR1-4vt42I4dg_phK0BzRYkckL2fBKf_jk869t-GtjNd71TT9/s400/UK_productivity.jpg" width="400" /></a></div>
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The gap between where we should be now and where we actually are is huge. The economy could be producing 15% more now if we kept up the trend. I was speaking about this to <a href="http://www.debtdeflation.com/blogs/" target="_blank">Steve Keen</a> at the weekend and neither of us can see any reason why, given enough money to keep demand up, the productivity of each working person in the UK should not keep smoothly rising. If there is enough demand, enough money running through the system, then wages will go up and businesses will invest in new technology that increases productivity. If demand is low and wages are low, there is no point in investing in improving productivity. The fact that productivity is so far below trend is a failure of government. <br />
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Even now, the technological improvements have happened and a period of sustained investment in the newer technology should see considerable catch-up growth without high inflation. <br />
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The departing government claims great success with the economy, citing the lowest unemployment rates in years. But they did not create jobs by increasing demand for labour. They created jobs by a carrot and stick benefits policy forcing people into work at the bottom end of the market. They kept up demand by using monetary policy (lower interest rates and Quantitative Easing) rather than government spending, which gave money to asset holders but not workers. I talk more about why using monetary policy is so bad <a href="http://www.notesonthenextbust.com/2016/02/why-it-is-so-important-to-use.html" target="_blank">here</a>. Thanks to austerity there is both a non-growing pie and workers receiving a smaller share of it (due to austerity forcing interet rates down).</div>
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So there is low demand because of low government spending and high supply of labour because of benefit sanctions.</div>
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The inevitable result of this is a low wage economy. This can be seen in the graph below (not the easiest graph to read, I admit). What it shows is that whilst Gordon Brown's economy pushed wages up and produced jobs above the living wage, the Conservative government actually greatly reduced the number of jobs above the living wage and created millions of jobs below the living wage.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHlFJJQiMHSYrYSR9Mxfc-p-60e7njEu-w8fLTLItortKh_o9hX4lW5uBgu8OYoQR96txYJ9L001Rac5YLQWVdze8UJ6On5KZS2VO8AXrYkcAAyr_YX86JnsXxfjPj05RvzBj05rqK0YF7/s1600/longer_term_living_wage.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="265" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHlFJJQiMHSYrYSR9Mxfc-p-60e7njEu-w8fLTLItortKh_o9hX4lW5uBgu8OYoQR96txYJ9L001Rac5YLQWVdze8UJ6On5KZS2VO8AXrYkcAAyr_YX86JnsXxfjPj05RvzBj05rqK0YF7/s400/longer_term_living_wage.jpg" width="400" /></a></div>
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This actually further exacerbates the problems of the economy. It is the reason why Osborne was <a href="http://www.notesonthenextbust.com/2016/04/probability-of-osborne-hitting-his.html" target="_blank">never going to hit his deficit target</a>. But worse than this, it creates an underclass of millions of minimum wage earners who are struggling to get by.</div>
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Even without the help of a scaremongering press and irresponsible politicians, it is not hard for the people on the low wages to make the link between their low wages and rising house prices, and the incoming immigrant population. In 2005, when there was a peak of immigration, wages were still rising. Not so this time. The difference; in 2005 there was enough money flowing through the economy that productivity was rising and wages were rising too. Since 2010 this money has stopped and wages have stagnated.</div>
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This is not to talk about the shutting of youth clubs, the cutbacks to education, the university tuition fees leaving our young with large debts, the rising house prices (a consequence of the lower interest rates because of the shrinking growth) and (because house prices are unaffordable) rents, the closing of libraries, the cuts to charities, the struggles of the NHS that is underfunded enough for the Leave campaign to put it on their battle bus.</div>
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The economic damage of austerity in the UK is calculable. I would put it at around 15% of GDP. That is to say that we would be 15% richer if productivity growth were to keep going as before. </div>
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But the social damage. That is going to show up in the years to come. The EU referendum highlighted some of the divisions in society. As long as policy is run for the benefit of asset holders and the detriment of workers and the young, the discontent will, I fear, keep rising.</div>
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And a sobering thought is that the UK has not suffered the worst of the austerity by a long way. The austerity required by Euro membership is much worse than that in the UK. The Brexit vote is childs play compared to what will happen in the economically less competitive parts of the Euroland.</div>
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com10tag:blogger.com,1999:blog-1513588060557517621.post-42378850812187056222016-06-02T14:08:00.000+02:002016-12-19T14:24:45.410+01:00Rents and GDP<div dir="ltr" style="text-align: left;" trbidi="on">
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In my (even if I do say so myself) excellent paper on our current economic predicament, available <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2858940" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'PaperRentsLink']);">here</a>, I briefly discuss the problems with including housing rentals in GDP.<br />
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When a building is built, the construction should add to GDP. This could count, for GDP purposes as consumption, or could be considered an investment and depreciated over several years of consumption. One house is produced, so the construction cost of one house should be added to GDP. <br />
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Instead what happens is on construction the house counts as investment and is added to GDP. Then all future rental paid (minus depreciation) counts as consumption and is also added to GDP in addition to the original building cost. This extra addition to GDP is simply the payment of a royalty to the owner of the land due to a state given monopoly right over this land; a transfer of wealth from non-landowners to landowners. It is not indicative of any productivity and should not count as the product of the country.<br />
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I argue below that since 2008, the fact that rental prices have gone up has led to a misstatement of real GDP growth. The official figures have total nominal GDP growth at 22.7%. I argue that a more correct value is 19.6%. In other words 2.9% of the UK's GDP recovery since 2008 is an accounting trick. In real (rather than nominal) GDP terms this means maybe a quarter of real GDP growth since 2008 is illusory, and a product of the transfer from those without property to those who own. All that had happened is that the royalty payments paid for use of land have increased. There is no increase in production.<br />
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The idea of imputed rents shows how ridiculous it is. If I buy a house, built 100 years ago, then should my simply living in it count as a part of the product of the country in this current year? If rental prices across the country go up does that mean that my house is producing more? It is a stock, not a flow. And yet by my simply living in the house, the imputed rent is added to GDP.<br />
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Why is this a problem? Because increases in rental payments are actually detrimental to production. As I discuss when talking about <a href="http://www.notesonthenextbust.com/2016/04/probability-of-osborne-hitting-his.html" target="_blank">Osborne's zero probability of hitting his deficit target,</a> rental and interest payments drain money from workers and those with a high marginal propensity to consume, and give to those with a low marginal propensity to consume. As described in this article, an economy paying high rentals and high interest payments, especially one where the corporate sector is able to pay high dividends, will much reduce disposable income to those who spend.<br />
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The reduction in demand for real goods and services actually genuinely produced in the economy is a natural consequence of an economy that pays too much to savers and not enough to workers and others who will consume more. And when rental payments are included in GDP, this is hidden.<br />
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What is the consequence of this? Using OECD figures (HT <a href="http://www.neweconomics.org/press/entry/gdp-boosted-by-158bn-of-phantom-rent-nef-research-reveals" target="_blank">NEF</a>), one can see that rentals in the UK have risen a lot recently. While the economy has nominally grown around 23% since 2008, rental payments have gone up by 53%. Rent and imputed rent is now 12.6% of GDP even though nothing is produced. In 2008 this figure was 10.2%. In the 1990s it was 8-9%.<br />
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And this means that an economy that has actually nominally grown by 19.6% in terms of productivity has official nominal GDP growth of 22.7%. While those who don't own property are being squeezed, the economy looks like it is doing OK thanks to the rent extraction that is actually damaging the economy.<br />
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Note that real GDP has only grown 8%. Without knowing the construction of the inflation basket it is difficult to be exact, but it is possible that over a full quarter of the real GDP growth since 2008 comes only from rental increase.<br />
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This, in my opinion, is something that should have more attention. <br />
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NOTE - I previously wrote that counting housing as investment and then consumption is double counting. But thanks to Diane Coyle (who wrote the excellent book, 'GDP: A Brief but Affectionate History') for pointing out that housing investment is depreciated, so it is not officially double counting. However, the cost of depreciation is much smaller than that of the rental payments. <br />
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<br /></div>Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com6tag:blogger.com,1999:blog-1513588060557517621.post-30744763771076174192016-05-26T12:34:00.002+02:002016-05-26T23:27:37.482+02:00The Problem with Ever Freer Trade<div dir="ltr" style="text-align: left;" trbidi="on">
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Those who keep a keen eye on the news may have noticed recently that Donald Trump is doing very well in the US Presidential election. It has been suggested that part of the reason for his popularity is that he gains the support of those in the United States who feel displaced by the forces of globalisation; those people who lost their jobs or get lower wages due to competition from lower wage economies.<br />
<br />
The standard defence of globalisation and free trade is that it means that everyone works where they add the most value and in sum everyone ends up better off. Total productivity of the world economy is higher because everyone concentrates on their specialisation. When I say 'defence', it is not really a defence as there is not really an attack on this theory - it is so standard and accepted by economists.<br />
<br />
But the rise of Trump has prompted some very interesting challenges to the standard dogma. <a href="https://foreignpolicy.com/2016/05/19/economics-has-failed-america-globalization-trade/" target="_blank">This one</a>, by Daniel Altman, is particularly good. It points out that although globalisation may be good for everyone in general, giving cheaper goods and more choice, it is not good for everyone in particular. If your industry can be outsourced to China and most people in your city work in that industry, and further if you have 30 years experience in that industry and not that many transferable skills, globalisation is undoubtedly bad for you.<br />
<br />
So the question becomes; if globalisation is better for everyone then why can't the people who do benefit the most share some of their proceeds with the biggest losers-out? Why are there not big retraining programmes and support for industry in areas that have been damaged? Well, this goes against the prevailing idea that the free market is the best arbiter. It also goes against the idea that if you tax people too much then they lose incentive. The beneficiaries would say that if we support the losers then we are distorting the free market, we are subsidising inefficient industry and this will end badly. We are actually doing them a favour by leaving them alone to find a new niche. And also I earned this money with my hard work, so why should I pay for others who aren't producing.<br />
<br />
Free trade does bring down prices but also hugely increases competition for labour. It is arguable that although globalisation has indeed made us all richer, in the higher income countries it has particularly made shareholders richer because wages have stagnated relative to economic growth. This exacerbates inequality, and reduces demand in the economy. This is one reason why governments need to run such large deficits these days.<br />
<br />
I think that the free market is an incredible thing. I think it has brought wonderful variety and happiness into people's lives. I am very much in favour of a free market - but only up to a certain point. The reason is that the free market is a very short term efficient arbiter - but it has no long term view.<br />
<br />
And free trade, up to a point, is undoubtedly a wonderful thing that has brought great success to our economies. But being a great thing up to a certain point does not necessarily mean that more of it is even better. One steak for dinner is amazing. Two steaks are arguably better. But the marginal utility of the third steak is very likely negative. This is what I feel about free trade - it is a bit like having steak at dinner - one or maybe two are great. And that anyone arguing against free trade is laughed at like someone arguing against steak. This post, which develops a theme from my <a href="http://www.notesonthenextbust.com/2016/04/on-economics-of-brexit-and-argument.html" target="_blank">last post</a> on Brexit, questions whether ever freer trade is indeed an ideal. <br />
<br />
This post is not really about the question Altman brings up about distribution within a country of many industries such as the United States. It is more about the idea that an individual country is best off specialising in a small number of fields of major competitive advantage. I argue that completely free trade, without fiscal transfers to the countries that lose out, is not optimal. Altman makes the same argument but for people rather than countries.<br />
<br />
To begin, I wish to show the graph that I put into an adendum to my last post; it is a graph of the real GDP growth of High Income countries vs that of EU countries. Now, if the freer trade provided by the EU has had the great economic benefit that most economists say it has, we would expect the EU countries to have grown more than their high income equivalents:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjSGkGdRvVyWPwyUDG4ErqEXwhHOh-1INXce5XisUO_U7qwgvXXjntoZ0N2N1pphKOTuztDr6GvDYPaX_IEXyNB0q0oGZ3com0mRElT_20MJNZp0HnuYSwGHzqD5R6Kxegv9izeFd96sbXP/s1600/EU.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjSGkGdRvVyWPwyUDG4ErqEXwhHOh-1INXce5XisUO_U7qwgvXXjntoZ0N2N1pphKOTuztDr6GvDYPaX_IEXyNB0q0oGZ3com0mRElT_20MJNZp0HnuYSwGHzqD5R6Kxegv9izeFd96sbXP/s400/EU.jpg" width="400" /></a></div>
As can be seen from this graph the growth was pretty much exactly the same until 2008. That is to say that the freer trade from being a member of the EU either had no benefit or it was offset by something else. After 2008 we can see the EU lag the rest of the High Income world thanks to the impact of the Euro and <a href="http://www.coppolacomment.com/2016/03/a-three-point-plan-to-avert-disaster-in.html" target="_blank">policies associated with it.</a><br />
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<a href="http://www.pitt.edu/~dejong/rstat-round3.pdf" target="_blank">This paper </a>looks at the impact of tariffs on growth and finds that, while there is a statistically significant worsening of GDP for higher tariffs for richer countries, the size of the effect is pretty small - maybe in the order of 0.1 or 0.2% of GDP per year for pretty large changes in tariff levels. It actually finds that, if anything, poorer countries do better with higher tariffs but this is not as statistically significant.<br />
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The conclusion I reach here is that after a certain point, the benefits of even more free trade are not large enough that we should ignore all other consequences.<br />
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The next thing I wish to look at is what makes a desireable industry. Free trade forces specialisation and countries don't often get to choose what industry this is in. For example, a country with abundant natural resources will be forced to specialise in this because the sales of these resources raise their exchange rate and make other industries less competitive. In the UK, the location between Asia and the US, the laxer regulation, as well as the fact that English is the world language of finance, meant that the UK was, in a sense, forced to specialise in finance. If a country has a strong military, then defence companies from that country, boosted by contracts from their government, can gain a competitive advantage in that field. The historic tradition of fine watchmaking gives Switzerland a competitive advantage in that it can charge higher prices for its watches.<br />
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So what sort of industries would you ideally like your country to have? For a start, you would want those that are not too cyclical. Countries with natural resources are often described as having 'Dutch Disease' because the uncompetitiveness of their other industries mean that all investment goes into the natural resource extraction. When the economic cycle turns against these commodities, the country is left with loss-making businesses and no fall-back. Specialising in cyclical industries is not necessarily in the best interests of any country.<br />
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The sensible policy for a country with natural resources is to set up some kind of sovereign wealth fund. This has two benefits. The first is that you have built up claims on the future work of those in other countries. When your resources run out, or the cycle turns, then these can be cashed in - it provides stability. The second is that it keeps the currency lower meaning that other industries are not as uncompetitive.<br />
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There is another type of industry that a country should preferably avoid, and this is an industry that accrues the benefits to a small number of people at the top. The reason for this is that it has a similar effect to running a current account deficit.<br />
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As a thought experiment, imagine I made an app that I licensed to an American company for £10bn per year. It all goes to me. What would happen? Well, for a start, I would get a lot of commendation for my helping UK exports. If I gave enough in donations I might get a knighthood for services to British industry.<br />
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But what does that £10bn do? It raises the £/$ exchange rate. This makes other industries less competitive. Think of the following identity: exports minus imports equals the trade balance. For simplicity let's assume no other flows and so that the trade balance and current account balance are the same. Now the current account balance would be unchanged, as the current account balance is equal to all the savings foreigners have put into the UK, and there is no reason for this to change. This means that my £10bn must be counteracted by £10bn of a combination of more imports and fewer exports.<br />
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Since I am unlikely to be able to spend much of the £10bn, the effect of this is similar to an extra £10bn of current account deficit. This means less demand in the UK economy, and unless counteracted by higher government deficits, more unemployment in the UK as a whole. An industry that gains exports but shares those gains between a few people who don't spend it in the economy is not a great help to the economy as a whole.<br />
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So the ideal industry is non-cyclical and shares the proceeds between a large number of employees. But there is one other target here; we do not want any industry to be too large - we would like a diversified industrial base.<br />
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A diversified industrial base means that as industries die or as economic cycles turn against them, there are other industries that can take the slack and provide support for those who have lost out. A specialised industrial base may well provide the highest overall return for the economy, but, like an undiversified share portfolio, will be a lot more volatile. And volatility for an economy is undoubtedly bad.<br />
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Central planning of an economy, deliberately putting resources to help certain industries, is much sneered at by those who believe in the free market. But in the end, the countries that don't plan their economies are left with the industries that those who do plan don't want.<br />
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With this in mind, we can look at how the economy in the EU with the freest trade has fared; by which I mean the UK. Well, by avoiding the Euro, it managed to avoid a particularly poisonous bullet that could have caused huge damage after 2008. It is a country of great variety of consumer choice. Living in Switzerland, a country with relatively high trade barriers, I now really appreciate how much choice there is in UK supermarkets and in terms of eating out and other entertainment. But I also see in the UK an economy where wages have been driven lower and lower relative to GDP and rentals higher and higher. <br />
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I believe that of the problems in the UK are due to belief in the infallibility of the free market. That bad long-term economic decisions were taken but seen as good ones because private sector debt kept on rising and these problems were disguised by this hidden stimulus. Industries, like manufacturing, made uncompetitive by a concentration on eg. finance were discarded as being not fit enough to survive. The South prospered, the North not so much. The owners of capital prospered, the workers not so much. But overall this idea held that we are all (as a whole) getting richer.<br />
<br />
<br />
Is there merit in some sort of economic planning, some sort of help given to certain industries? In my opinion there is. Should tariffs be higher to protect them, maybe that is a good idea. I am not suggesting picking winners per se, maybe more just supporting industries that are almost there. My argument is that a country is better off with a diverse range of largely uncyclical industries, preferably those with a more even distribution of winnings. This is more desirable than the unplanned, short-term, profit maximising model that the UK has followed.<br />
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<br /></div>Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com6tag:blogger.com,1999:blog-1513588060557517621.post-84441109085180969562016-04-20T18:57:00.005+02:002016-05-11T12:48:14.288+02:00On the economics of Brexit, and an argument that the UK would have been better off outside the EU<div dir="ltr" style="text-align: left;" trbidi="on">
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The UK Treasury recently published a <a href="https://www.gov.uk/government/publications/hm-treasury-analysis-the-long-term-economic-impact-of-eu-membership-and-the-alternatives" target="_blank">report</a> detailing the costs to Britain of leaving the EU. It has been generally <a href="https://next.ft.com/content/f7c0c2ce-0609-11e6-a70d-4e39ac32c284?ftcamp=published_links%2Frss%2Fcomment_columnists_martin-wolf%2Ffeed%2F%2Fproduct" target="_blank">praised</a> by economists, who <a href="http://capx.co/the-brexit-fantasy-would-lead-to-a-messy-divorce/" target="_blank">take it for granted</a> that the economics of Brexit would be bad for the UK.<br />
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I have a problem with this report, and actually I have a problem with the assumptions that are taken for granted and underpin it.<br />
<br />
I would like to make clear that I think that it is very likely to be better for the UK economically to stay in the EU. I think that the risk of disruption on Brexit would be large, that regulatory changes would cause extra work and that investment would suffer under the uncertainty of the future regime. Financial services, for example, could be damged by the change in jurisdiction. A vote to Remain is the safe vote and sensible vote. However this does not mean that one should take for granted that the long term result of Leave would be detrimental.<br />
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Reading through the Treasury report, the first thing that struck me was the one sided nature of the language. Facts are cherry picked. Examples of damage to the UK are constantly given, along with the advantages for future growth of the Cameron negotiated settlement, which would be lost if the UK left. But nowhere is the opposite side given. Most consequences have winners and losers, and the Treasury is only listing the losers.<br />
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As a small and trivial example, at one point it talks about the possible end to Duty Free. It describes how UK consumers will no longer be able to get cheap alcohol when coming back from holidays. This is undoubtedly a bad thing for alcoholic British holidaymakers, but actually this is also a good thing for UK retailers who can now sell the alcohol at home. It is also a good thing for the UK Treasury which receives the extra duty. The one sided nature of the analysis is apparent throughout the whole report.<br />
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As a larger example where consequences are less obvious, consider the following hypothetical scenario. Brexit causes an increase in financial regulation in which half the finance industry is lost. UK GDP would go down by around 5% as this contributor to GDP was lost. However, this is not the whole story. What do the bright, educated people who lost their job in finance do next? Eventually they find other jobs. How much of that loss of production is replaced by the financiers now working in other industries? This is far from clear, but it is wrong just to focus on the 5% figure. The Treasury approach appears to be to focus on the definite negatives without taking account of the compensatory positives that an economy does in adaptation to new conditions.<br />
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In the late 1700s and early 1800s, the UK had a problem, in that it very high wages relative to the rest of the world. If a Treasury report had been made into these high wages it would undoubtedly have pointed to this source of lack of competitiveness and suggested ways to reduce the wages in order to compete in the high labour intensity work that characterised the world economy at the time.<br />
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But what happened <a href="https://www.amazon.co.uk/Industrial-Revolution-Perspective-Approaches-Economic/dp/0521687853?ie=UTF8&*Version*=1&*entries*=0" target="_blank">instead</a>? The combination of high wages with low coal costs combined to make the early stages of the Industrial Revolution financially viable. The high wages in the UK meant that Britain was the first to industrialise and became the largest economy in the world. But this could never have been predicted just from looking at the high wages in 1790.<br />
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The point I am trying to make is that the economy adapts to new scenarios so using theoretical models does not necessarily help to illuminate the reader.<br />
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The report states, with well defined error bounds, that the expected loss to the average household in the UK in the case of a negotiated bilateral agreement is around £4,300. It does not take into account disruption here, and is based on the lost benefits of free trade, free movement, joint regulation etc. My first thought is, how can I test if this makes sense.<br />
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A simple common sense one: A 10% increase in tariffs across the board is equivalent to a 10% stronger pound for exporters. Since pound has gone both up and down by more than 10% in the last few months without dire consequences, this strikes me as not of huge significance.<br />
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If the Pound were to go down by 10% on Brexit due to withdrawal of investment from the UK, with tariffs rising by 10% at the same time, then exporters would be no better or worse off than before. Imports would be a lot more expensive and the current account would go into surplus instead of the current constant deficit. The floating exchange rate would cushion much of the economic impact - the UK would be poorer but a) not in Pound denominated terms and b) only because it would be paying back some of the money it has been borrowing from the rest of the world.<br />
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I looked for empirical evidence of the effect of higher trade barriers on growth. I found <a href="http://www.pitt.edu/~dejong/rstat-round3.pdf" target="_blank">this </a>interesting paper. It suggests that for poorer countries, higher tariffs are, if anything, beneficial. For richer countries they are detrimental, but the size of this effect is nowhere near the sort of effect the treasury expects, and is of the order of 0.1% or 0.2% per year. George Osborne has single handedly, through his policies of austerity cost the UK <a href="http://www.notesonthenextbust.com/2016/04/probability-of-osborne-hitting-his.html" target="_blank">at around 1.5% per year</a> in my opinion. Which puts Brexit at approximately 10% as damaging as Osborne.<br />
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The next test I did was to look at UK real GDP growth relative to the United States. In the period between 1946 and 1973 the UK grew at an annualised rate of 3.2% compared to the US at 3.7%. After joining the EU what would one expect? Could there be catch-up where the UK grows faster than the US? Maybe it just grows at the same speed. At the very least it should keep the same gap between the growth figures.<br />
<i><br /></i>
<i>In fact the gap widened. In the period from 1973 to 2014, the US grew at 2.7% annualised, with the UK in the European Common Market growing at only 2%. This is extremely disappointing especially given all the clear and obvious stated benefits of free trade in the EU.</i><br />
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I know that this is one number and there is a lot more to it than that, but it is a pretty important number and surely this should warrant further analysis to explain why if the common market was so great, we've actually had a relative reduction in growth.<br />
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I would like to propose a possible reason for this, and once again it comes down to the unexpected consequences I describe above, and the adaptation of economies to underlying conditions.<br />
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Why is free trade good? Because it allows specialisation. If one country is slightly better at making cars and another is slightly better at making motorbikes then, if the two countries have free trade, one can concentrate on making only cars and the other on making only motorbikes. This means that between the two countries they maximise the production of cars and motorbikes, and both end up cheaper to the end consumer.<br />
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If tariffs existed, then both countries would produce both cars and motorcycles but not as efficiently as they would be partly working on something that they are worse at.<br />
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Where could there be a flaw here? Well, there are no fiscal transfers between the two countries. So supposing motorcycles go out of fashion and no-one buys them. Motorcycle country now has no industry and will have to start a new industry to replace it. This takes time and involves unemployment and retraining. The floating exchange rates between the two countries softens the blow but it is still painful.<br />
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If both countries had tariffs then the pain would be shared. If both had been part of the same country then money from the car producers could go to help the motorcycle producers. But free trade with no fiscal transfers means that each country is at risk from the specialisation it ends up having being out of fashion.<br />
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This is a general argument against free trade, but specifically I think that his may have hurt the UK in the following way.<br />
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The UK has a highly educated workforce, speaks English, has low financial regulation and sits in between the US and Asia in terms of time zones. It is the perfect combination for a financial centre. The UK thus has a competitive advantage in financial services and it brings a great deal of export revenues into the country from selling these services abroad.<br />
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That sounds great, but actually maybe it isn't. The success of financial services means that the UK Pound rises in value. This means that UK manufacturing, for example, now becomes less competitive against other countries in Europe. Because there are no tariffs there is nothing to stop UK residents buying their goods from Germany and services from the UK as this works out cheaper. Had there been tariffs then Germany would have done more financial services and the UK more manufacturing.<br />
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The result of all this is that the UK ends up specialising in financial services more than it otherwise would have done as other industry atrophies due to being uncompetitive. Other EU countries specialised in other industries - and ones that in fact are less cyclical and with more durability.<br />
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In 2008, the UK paid the price for specialisation in finance. Finance means high leverage. The cost to the UK people of the finance industry was very large. And then larger than this, the cost of the policies of austerity which followed damaged the UK economy significantly.<br />
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I am a big supporter of immigration, but another possible way that EU membership may have damaged the UK economy is through freedom of movement bringing down wages in the low skills end of the market. Traditionally economists would say that this is a good thing. But what if the low wages meant that (in an opposite way to the high wages 200 years before) low skilled jobs were not automated. People are cheaper than machines and hence productivity is damaged. High wage economies have higher productivity. Maybe if the UK had more regulation and less immigration we would have had productivity as high as our European counterparts.<br />
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So maybe EU membership and free trade actually damaged Britain. These are just musings; counterfactuals are always impossible to be sure of. But what is definitely true is that the economy adjusts to things in unpredictable ways. Low wages may be good or bad. High tariffs may be good or bad. Leaving the EU could, for example, result in the UK becoming a powerhouse in high end technology. Or could result in a £4,300 loss per household. We just don't know.<br />
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So, in conclusion, what happens if the UK leaves the EU?<br />
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I don't know but I do feel that it definitely can't be summed up in a report with definitive numbers and precise error bounds.<br />
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<b>Addendum: </b><br />
<br />
It is often stated that EU membership has provided great economic benefit. Most major economic institutions support this theory. However, there is no paper that I have read that has adequately shown this.<br />
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As an example, Chris Giles, in <a href="https://next.ft.com/content/f49b3502-113f-11e6-91da-096d89bd2173" target="_blank">the FT</a>, points to <a href="http://www2.warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/smf-cage-the-growth-effects-of-eu-membership-for-the-uk-a-review-of-the-evidence-.pdf" target="_blank">this</a> paper which he calls an example of 'the best economic studies'. It states that the UK is roughly 10% better off than it would have been outside the EU. This paper bases its conclusion on two types of model.<br />
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The first is a gravity econometric model that looks at the increase in trade and assumes economic improvement. In my opinion, when increased trade and increased GDP are not proven to be causally linked this model based approach is not enough.<br />
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There is little doubt that for a small isolated economy, an increase in trade will on average improve economic growth. But does this effect continue indefinitely? Is it not possible that after a certain level of trade, further increases do not improve economic growth? <br />
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A better way is to look at actual results and compare to the closest comparators. This is the approach of <a href="http://cepr.org/active/publications/discussion_papers/dp.php?dpno=9968" target="_blank">this</a> paper, also cited. This would be a very valid approach, however it appears that the data period is cherry picked, ending in 2008. This both removes the effect of the Euro crisis and also, as it measures growth as GDP in US dollars, it stops at a time when the Euro was at an all time high against the dollar. It makes the growth of Euro and £ economies look higher. Also, the estimate is very dependent upon the choice of comparator country weights.<br />
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To test if this paper is valid, I did my own test. I looked at real GDP growth for ALL EU countries against ALL high income countries using the world bank database. This is a real aggregate test, that does not allow any cherry picking.<br />
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The graph is below. <br />
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<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9e2lq2FhAmB3dHn4RUR_PRWxV0CdxpFDQTVkQBHKQLVgHc9POlkFt90BBDtUCPijtXJqaojk99O4Wp7kVEF8V7qT220L2JnEkz8udsBRKFq8Lk_S1HjbAeYUsycNvId5WoZs8mXk4AMaW/s1600/EU.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9e2lq2FhAmB3dHn4RUR_PRWxV0CdxpFDQTVkQBHKQLVgHc9POlkFt90BBDtUCPijtXJqaojk99O4Wp7kVEF8V7qT220L2JnEkz8udsBRKFq8Lk_S1HjbAeYUsycNvId5WoZs8mXk4AMaW/s400/EU.jpg" width="400" /></a></div>
You can see that up until the Eurozone crisis, EU economies grew exactly in line with other high income economies. There is no discernible benefit from having an increased freeer trade zone. The only difference comes when the Eurozone crisis hits when, for reasons I discuss <a href="http://www.coppolacomment.com/2016/03/a-three-point-plan-to-avert-disaster-in.html" target="_blank">here</a>, Eurozone countries underperform.<br />
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To everyone who says what a great economic boost it has been to be in the common market, I would ask them to explain this graph.<br />
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Incidentally I <a href="https://twitter.com/ari1601/status/728176328793595904" target="_blank">did</a> ask this to the author of the paper above. But received no reply.<br />
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As a final aside, there is one major benefit that the UK does receive from being in the EU. It is that it does not allow the more libertarian UK politicians to erode worker rights and opt out of anti-discrimination policy. <br />
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The free market is a great thing in that it means that more gets produced of what people want, and less of what they don't want. But when it pushes down wages and increases corporate profits, as well as leading to a rise in corporate and individual debt, it becomes a damaging system. The UK has long been a major proponent of the more laissez-faire ideal of the free market and this leads to an unbalanced and hollowed out economy.<br />
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For this reason I think the UK is probably be better off in the EU. But it is definitely not due to the fear of job losses, interest rate rises and even war invoked by Osborne, Cameron et al.<br />
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com7tag:blogger.com,1999:blog-1513588060557517621.post-91210558099815913992016-04-13T23:55:00.000+02:002016-04-14T09:10:06.290+02:00Probability of Osborne Hitting his Surplus Target? Around 0%. Here's why.<div dir="ltr" style="text-align: left;" trbidi="on">
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Last month, when UK Chancellor George Osborne set out his budget, the Office for Budget Responsibility issued its <a href="http://cdn.budgetresponsibility.org.uk/March2016EFO.pdf" target="_blank">outlook</a> for the next few years. It judged that the probability of Osborne hitting his self-imposed target of achieving a budget surplus in 2020 was a little greater than 50%. Remember that Osborne not only wants to hit this target in 2020 but wants to make legislation that forces all governments to do the same in the future.<br />
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This is insane. The government must run deficits; I discuss <a href="http://www.notesonthenextbust.com/2015/06/the-government-must-run-deficits-even.html" target="_blank">here</a> why we actually need to run much larger ones. And the probability of Osborne hitting that target without heavy financial engineering is, in my opinion 0% (rounded to the nearest percent).<br />
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Running a surplus is extremely rare. The reason is that for nominal GDP growth, more money must be spent every year than the year before. On top of this, the structure of our economy is such that we end up, on average, saving a small proportion of money from GDP each year, taking money out of the system. The saving needs to be replaced, and the extra demand for goods and services must come from somewhere.<br />
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On occasions this may come from high confidence leading to people spending more of their savings than the amount lost to new saving. But typically the money needed to grow the economy comes either from new private sector debt or new government debt.<br />
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The detail of my Demand Based Cash Flow model as well as my empirical findings are in <a href="http://www.notesonthenextbust.com/2016/02/latest-version-of-my-dbcf-model-paper.html" target="_blank">my paper</a>, which I recommend reading, but very briefly... A 10% of GDP increase in private sector debt corresponds to around 1.5% economic growth in the year that it is taken out. Note that this multiplier is a lot lower than that commonly calculated for government debt (normally around 1), so government debt is much more stimulatory. And the bad news is that it exerts a drag on economic growth from then on. The drag is significant - maybe a 0.15% loss of NGDP growth per year every year until it is repaid.<br />
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Private sector debt in UK, and worldwide, is now very high. This, in my opinion, is the reason for our current economic stagnation and the reason that we are at zero interest rates.<br />
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The mechanism that this works through is that the higher debt is, the more of GDP that goes to paying interest payments rather than wages. This is both by corporations and by individuals. On top of this higher debt means more demand for houses as well as lower interest rates - this leads to higher house prices and in turn higher rents.<br />
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This means even more money goes to savers/investors in an economy rather than workers. People tend to spend most of their wages but interest and dividends are often just accumulated in pension funds or other saving vehicles. So the marginal propensity to spend of workers is higher than that of savers.<br />
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For this reason, as debt has risen, demand has fallen. And the saving rate of the economy (which I define as the amount of GDP in year t that is not spent again in year t+1) has grown to around 3% of GDP each year.<br />
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Other factors contribute. The ability of corporations to achieve higher profit margins by suppressing wages is one.<br />
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And the intermediate step between both of these and lower NGDP growth is a shrinking of worker share of GDP (after rental payments).<br />
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I would like to thank <a href="https://twitter.com/DuncanWeldon/status/720185567582011392" target="_blank">Duncan Weldon</a> for both the idea to look at this as well as the <a href="http://www.bankofengland.co.uk/research/Pages/onebank/threecenturies.aspx" target="_blank">glorious spreadsheet</a> that he directed me to with three centuries of economic data for the UK.<br />
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I made an estimate for worker share of GDP growth, following Weldon's example. The numerator is (compensation per employee x total people in employment) minus (estimated rent per property x total people in employment). The denominator is Nominal GDP minus (estimated rent per property x total people in employment). So an approximation for (wages minus rent), divided by (NGDP minus rent). The rent per property is estimated at 5% of the property value.<br />
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I plotted this worker share of GDP growth against the average government deficit for the subsequent ten years. Although in any one year the government deficit can be volatile, over a ten year period one can get an idea of how much demand needs to be replaced.<br />
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The graph looks like this:<br />
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It is not a perfect fit, but considering that it is just one factor in a complex system, it is reasonably close. I would argue that there does appear to be a strong relationship, especially if one ignores the immediate post-war period.<br />
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I also have private debt figures from 1963 onwards from BIS. The private debt level is -78% correlated to the above worker share measure. The level of private debt is also -61% correlated to the ten year average government balance. The three series appear to be linked; as predicted by my DBCF model. Also, much earlier, by Steve Keen, whose <a href="http://www.debtdeflation.com/blogs/2014/02/02/modeling-financial-instability/" target="_blank">work</a> is invaluable for more understanding of the role of debt.<br />
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From the graph it can be seen that with the current low level of worker share of GDP the economy is structurally saving considerably too much to allow the government to eliminate the deficit. Unless the worker share of GDP can be increased, and unless more money goes to people who will spend rather than save, then the economy can not bear the cost of a government surplus.<br />
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The graph actually suggests that deficits are too small. This, in my view, is the reason that NGDP growth is so much lower than trend. Higher deficits are really needed. The damage already done to the UK's productivity by Osborne's misguided policy is huge; this graph shows the sudden stop in 2008.<br />
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As Frances Coppola <a href="http://www.coppolacomment.com/2016/03/the-unaffordable-george.html" target="_blank">says</a>, it is not the benefits to the disabled that are unaffordable but the chancellor himself. It could be argued that appropriate fiscal policy would have allowed a continuation of trend growth, in which case Osborne is responsible for a current annual loss of around 10% of UK GDP.<br />
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You may argue that a surplus has been achieved in the past so why can't it be done again? But there is a big difference here. When Gordon Brown in the UK or Bill Clinton in the US achieved budget surpluses they did so by allowing private sector debt to grow very quickly. At the time we had not hit the high levels of private sector debt and this was not too difficult. The budget surpluses were compensated for by lower interest rates and debt grew.<br />
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This is not possible now, though. Private sector debt has hit such a high level, and subsequently house prices are so high, that even zero interest rates can not stimulate enough new private sector debt to compensate for no government deficits. The current account deficit also makes it harder.<br />
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It is, of course, possible to get a surplus by simply cutting spending by enough. The problem for Osborne is that every cut makes the economy worse, leading to lower tax revenues. The target will just keep moving further and further away as he approaches it.<br />
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Now, I think that the increase in the minimum wage may make a small improvement here; only time will tell. But I also think that the benefits of this may be lost because of other budget measures that take from those with a high MPC (eg lowering tax credits) and give to those with low MPC (eg lowering inheritance and capital gains tax).<br />
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In conclusion, I think it totally impossible that Osborne reach his surplus target. I think that the Office of Budget Responsibility has models that do not properly include the feedback from lowering spending. And that what it calls budget responsibility is actually gross irresponsibility.<br />
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com2tag:blogger.com,1999:blog-1513588060557517621.post-56317578967198146322016-04-11T14:05:00.003+02:002016-04-13T09:07:43.387+02:00Does Saving Equal Investment?<div dir="ltr" style="text-align: left;" trbidi="on">
Tax policy in the UK is quite heavily skewed towards encouraging saving. Tax on capital gains is lower than that on income and ISAs and pensions give many tax advantages. The recent budget gave even more benefits to savers than they previously had. In fact, it is <a href="https://www.google.ch/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwjHs-2jyojMAhVDVhQKHV3KBSUQFggjMAE&url=https%3A%2F%2Fwww.gov.uk%2Fgovernment%2Fuploads%2Fsystem%2Fuploads%2Fattachment_data%2Ffile%2F223061%2Fenabling_and_encouraging_saving.pdf&usg=AFQjCNHXrKXnoTJ_gOPLSLVMm8cYUPLEAw&sig2=ptpbfdqctgI9Dw53qiAs-Q" target="_blank">a stated aim</a> of the government to encourage saving.<br />
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There are a number of reasons for this; one is that these policies tend to reward people who are more likely to vote at the expense of those less likely. A less self-serving motivation for the government is that saving is important because saving means that people will be able to fund their old age and not rely on everyone else.<br />
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This argument is, I think, fallacious. In the end, the economy of the future supports those not working, meaning non-workers will always rely on workers. This means that production will have to be high enough to give the required standard of living to everyone. Whether people have money saved up or not only determines the distribution of the future production, not the level.<br />
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My saving for my pension means one thing. It means that I will get a larger share of the work of others in the future than I would have received had I not saved. So if anything, it is the people who saved who are a larger burden on those in the future than those who did not save.<br />
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This takes us back to the ridiculous (and, time will prove, <a href="http://www.notesonthenextbust.com/2016/03/the-economy-simply-explained.html" target="_blank">futile</a>) attempts by the Chancellor to bring the government budget to surplus, as if government debt is an intergenerational transfer from the future to now. As I have said many times, the main ways we can take from the future is by not investing in our productive capacity now, or by damaging the environment. Other than that, all we impact is the distribution of money in the future.<br />
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And in that sense, the high house prices (and also other asset prices) <a href="http://www.notesonthenextbust.com/2016/02/why-it-is-so-important-to-use.html" target="_blank">due to using monetary policy rather than fiscal policy</a> to boost the economy are a <a href="http://www.independent.co.uk/news/uk/home-news/young-people-increasingly-giving-up-on-ever-owning-their-own-home-10158712.html" target="_blank">real inter-generational transfer</a>.<br />
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In the end, as I argue <a href="http://www.notesonthenextbust.com/2015/05/the-supremacy-of-savings-in-our.html" target="_blank">here</a>, I believe that the decisions to protect savers are very damaging to the economy as they come at the expense of workers; a group whose share of the economy has been falling rapidly over the years, and on whom the economy relies.<br />
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But when watching an <a href="https://youtu.be/yhMEtyeVBvc" target="_blank">old Newsnight clip</a> on Frances Coppola's <a href="http://www.coppolacomment.com/p/at-edward-harrisons-suggestion-im.html" target="_blank">website</a>, I was struck by the comment from the host about government policy:<br />
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We must rebalance the economy in favour of saving rather than consumption.</blockquote>
This suggests something virtuous and useful about saving, and Frances goes into more detail. It is the idea that savings are needed for investment.<br />
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I would not argue with the idea that the ratio of productive investment to consumption should be higher. If the argument was to rebalance from consumption to investment, I would not disagree. But the quote above is not saying the same thing. It says that we should save more money because it equates saving money with investment.<br />
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So, is saving needed in order for us to have money to invest? <br />
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I believe the idea that we need individuals to save is a fallacy and to some extent can be traced to Keynes' identity that savings must equal investment. This is true by Keynes' definition, because all production that is not consumed (or presumably just wasted) must either be on investment or an increase in inventories, which is also defined as investment.<br />
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But I would say that this is the wrong way round. Investment is, by Keynes' definition, saving. It is work done with expectation of consumption in the future rather than now. But saving money is not investment. Saving money either reduces consumption or increases inventories (which is not my definition of investment).<br />
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As an example, supposing I have £100 and my choices are either to save £10 or to buy a quantity of X for £10. The supplier of X can either a) create more of X by using 1 hour of labour, costing £8 and making £2 profit. Or b) she can increase margins on her goods, slightly increasing inflation and making a £10 profit.<br />
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In case a) my savings get passed on to the worker and business owner, in case b) my savings get passed just to the business owner. But in both cases the savings still exist. They just get transferred, but now they can be spent again by the recipients and again by the recipients of that money.<br />
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All I have done to the economy by saving money is reduced the hours worked by the worker (and future workers down the chain) and thus economic output.<br />
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Now ask yourself, who is more likely to invest in increasing future capacity? A business owner with more demand and higher profit or one with less and lower respectively? I would argue that the more people save the less productive investment gets made.<br />
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And this result can be seen across the developed world as despite a 'savings glut' we still have low levels of investment.<br />
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So where does the money come from for investment? If a company wants to invest then they can do so either with retained profit or by borrowing money. But they do not need to borrow money from savers for this.<br />
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<a href="https://www.google.ch/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&sqi=2&ved=0ahUKEwjK1qebw4bMAhVHMhoKHbnaA8wQFggcMAA&url=http%3A%2F%2Fwww.bankofengland.co.uk%2Fpublications%2FDocuments%2Fquarterlybulletin%2F2014%2Fqb14q1prereleasemoneycreation.pdf&usg=AFQjCNEC40I_RsLixV-7vqDH8EnIWMnFzw&sig2=8dUGeJLvwmX1UmzWKv7VIQ&bvm=bv.119028448,d.bGg&cad=rja" target="_blank">Money creation in the modern economy</a> does not require saving in order to produce credit.<b> </b>Banks and corporations are able to create debt (hence effectively new money) at will. Literally no-one needs to save for there to be investment.<br />
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<a href="http://www.brookings.edu/research/papers/2013/02/promote-saving-through-tax-system" target="_blank">Here</a> is an example of academic literature stating that "over the longer run, higher personal saving would lead to stronger economic growth". They point out that " a country’s saving rate and its investment rate remains large and significant". However, a country's saving rate is not the same as individuals saving. A country with a high saving rate is typically one where wages have been supressed maybe by currency manipulation, tariffs or wage agreements. This means that a higher share of the GDP goes to firms and the governmnent. And typically this policy is linked to a policy of high investment. Because investment is defined as saving then countries with high investment must also have high saving.<br />
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But I would call investment 'spending', rather than 'saving'. And by my definition of saving, the saving rate has been rising over the last 40 years because more and more money, as a share of GDP, goes in dividends and interest payments and less on wages. And the marginal propensity to spend of savers is lower than that of workers, hence the saving rate in the economy is higher (even if the saving rate of workers is lower). By my definition, far more of GDP is saved than 40 years ago, and at the same time, investment has gone down.<br />
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For an economy to work well, money needs to keep flowing around it. Savers stop the money from flowing and consequently this lost demand needs to be replaced either with private or public sector debt. If the demand is not replaced <a href="http://www.notesonthenextbust.com/2015/06/the-government-must-run-deficits-even.html" target="_blank">then NGDP growth stalls</a>.<br />
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The savers can keep the money in bank accounts, effectively removing it from the economy. But what if they invest in shares? Isn't this investment? No, it just transfers the money to other savers. Buying shares in a company is often called investment, but unless it is when the shares are first issued and the money was intended for productive investment, then all it is doing is passing money to another saver and increasing the price of the shares. Ditto for investing in already built property.<br />
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Unless money is specifically spent on investment then more saving has a negative effect on investment.<br />
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In conclusion, investment is saving but saving is not investment. The reason this can be true is that in the first part I define saving as 'consumption deferred', and in the second part it is just 'saving money'. And the point of the post is that we need to encourage investment or consumption but not saving. <br />
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com7tag:blogger.com,1999:blog-1513588060557517621.post-38328252521035095842016-04-04T14:28:00.000+02:002016-04-05T20:56:38.080+02:00A Current Account Surplus is Obviously a Good Thing. Isn't it?<div dir="ltr" style="text-align: left;" trbidi="on">
After my recent Coppola Comment <a href="http://www.coppolacomment.com/2016/03/a-three-point-plan-to-avert-disaster-in.html">post</a> on a theoretical framework for making the Eurozone a genuinely viable currency union, I received a number of interesting comments in opposition to the idea.<br />
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There were three main ideas in the criticisms. The first is that it is politically impossible. This, I am inclined to agree with although, as Frances <a href="https://twitter.com/Frances_Coppola/status/715534660240089092">says</a>, we have to try. Germany would never agree to this because it goes against their idea of
economics. In fact, I would say that the Germans don't actually consider
there to be any problem with the structure of the Euro, only the irresponsibility of the debtors.<br />
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I suppose really the point of the post was trying to plot out a minimum required level of cooperation for the Euro to be viable. Otherwise, the structural problems are so severe the best option for everyone would be a break-up.<br />
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The second criticism was of the blank cheque that it gives to governments within the Eurozone. Here I argue that all it gives is the same blank cheque that every other sovereign government has. And it is a 'blank cheque' that is necesary for sustainable economic growth. However, in order to avoid abuse, then any plan of this nature would probably need synchronisation of certain tax and spending policies. This may be unpalatable, but still is preferable to the alternative.<br />
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The third criticism is similar to the the first, but differs on a key point. It says not just that Germany won't agree, but that they <i>should not</i> agree to give up their <a href="https://twitter.com/jdavidsonlawyer/status/715839023357493248">victory</a> in attaining a current account surplus. The idea is that it is not in Germany's interest to run a current account deficit for a while. On this, I disagree completely. I actually don't believe that running a current account surplus is necessarily a victory at all.<br />
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There are some circumstances when a current account surplus is a good policy. One obvious one is for producers of natural resources, who wish to both prevent their domestic economy from over-heating as well as save up for the future some of the value of the extracted resources.<br />
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Another would be for a small state to build up some kind of buffer against future uncertainty. In this case, the effect of their policy is tiny compared to the size of the economy that they are building up savings in.<br />
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But for a state with the size and level of development of Germany it really gives no advantage whatsoever, and actually many disadvantages when it affects the economic growth of its neighbours so badly as I discuss in the Coppola Comment <a href="http://www.coppolacomment.com/2016/03/a-three-point-plan-to-avert-disaster-in.html">article</a>.<br />
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Persistently running a current account deficit in a fixed currency regime [edited; thanks Frances (in comments)] is clearly a bad thing, and I am not saying that it is OK to have a deficit. I am saying that there is no symmetry here. For the reason for this, we need to look at what actually happens to create a surplus. The wages/purchasing power of the surplus country is artificially kept low, either by currency manipulation, tariffs or (as in Germany's case) wage agreements. This makes the saving rate in the economy artificially high. And these excess savings must be invested somewhere, and this somewhere must be abroad. The surplus country thus creates savings in the deficit country.<br />
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There is no increase in demand in the surplus country as the increase in exports is counterbalanced by a decrease in domestic demand. But there is a reduction in demand in the deficit country. The net effect is a reduction in world demand. It is a negative sum game.<br />
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It is true that Germany is building up credits with the rest of the world. The claims of Germany on future production by the rest of the world are growing every year by a large amount. But the thing about these claims is that at some point they need to be spent. If not, they are worthless tokens.<br />
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When is Germany planning to spend these tokens? If never, then why are they working so hard and forgoing consumption now to build these piles of bonds and equities. This is even ignoring the fact that the less competitive parts of the Eurozone are suffering an economic strangulation in the collateral damage of this policy.<br />
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It's all very well talking theoretically about the effects of a current account surplus. I would argue that these are accounting identities, but nevertheless, people will still claim that running a current account surplus is good for growth. So I have looked at OECD data for developed economies for the past 18 years.<br />
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Below is the result for Current Account Balance plotted against RGDP growth for 423 country years. I have excluded a few large outliers on either side by limiting the deficit to -10% and surplus to +15% (the assymmetry is because there are fewer surplus countries). I have also provided best fit lines. I have divided the graph into two halves, surpluses and deficits.<br />
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UAeMjY0RQmvWrOnk+l0KQ/gHuqysbKvfAhs2bBD9XSWKRqONHj168ODBYv17DAwMEEI7duwgl+zYsQMhNHjw4Pj4eNE109LS5OTk+vXrR9b9CASC2bNnS0lJdbLKurKyctSoUd988w3ZEfj8+fMIIXNzc7E18TCf33//va1zT11dnYKCAkLoxo0bbR0Op9JFixaJtf54enpKS0tPmjSJbL7pahjCZ/Tly5eLVf5funQJIaSsrEwuiY6ORgjNmzevrUKSampq/vvf/yKEDA0NHR0dbW1tbW1tHR0dDx8+/P3330+fPl2yZUogEIgVoKmpSax6qa0wxOPxxCawyc3NlZOT++abb8izcn19PX5zzpo1S7RNhCCIe/fu4boBcklKSoq8vLycnFw7zV66uroIIbLyDMvOzh42bNjQoUNTU1MlN8nMzOzfv/+wYcPE3gmxsbHS0tK//PILbrTC1ZmSFXvtw2Fow4YNYsvd3d379OnzzTffkDHOzs5O7Pl2UodhKCYmBtdzkB/MdvoM4ca7VatWiVXAYEKhUFVVFSFkZmbWpULiMITTpOQnDtet6unpiS3HXx1btmzBcxfhH1F37twhVwgODkYIaWhoyMvLKykpkf2ieDzejBkzpKSkkpKS8BJ3d3e8K7FDpKSkDB8+HCGkqanZ6ktx8ODBLj1TALoRhKEO7Nq1CyG0Z8+eTq7/AWHo5MmTre4Kh6Fly5ZJdpzEP52PHj0qtryyslJaWnrEiBFkOwX+Umv1xyXOH+Qpp7GxcdasWVJSUpKFbxVOJ1u3biWXpKamysnJTZ48WbRTCJfLnTdvHkKonY4pr169wlU+bXUR5fP5uDnm6dOnko/iFkByVM4H1AwhhF69eiW2cmxsLEJo/vz5ZEbB54M5c+Z0OGtcTU0NORZazPTp03EXis5Yv3696Hm0Sx2ocQHI91t9ff20adPEznBYQUGBtLT0Tz/9RCans2fP4lq6tnZeVVU1fPjwwYMHS3YA2r17N2p7kBQOOmLjrnFdgrGxMb67c+dOhJClpWWHz1EUDkOzZ89+/vz506dP7927d+HCha1bt0pLSw8fPly0Nxs+8aurq4vtoampyd7e3szM7Pz58+fPnzc3N79z547oxIYdhqHy8nJZWVlZWVnyQ0SGoVevXjU1NdXV1WVkZLx58wa3Go8ePbqt3x4MBgN3yJN8JXNyciwsLM6dO4fLefbsWdERoDgM9evXT/JtVlZWNmjQoKFDh0rWaNbV1Y0ZM0ZKSgrXPd+4cQPXLJIr4GoqHx+flStXysnJkfWaycnJAwYMmDJlCvnmwdlaQ0ND7BC4Zqhv376SBcMNc201sgPwGUAY6gAOQ52vqe5SGPrvf/8rJSUl1lGXpKam1tYpAddLHz9+PCwsLPRvYWFhXl5e/fv3HzhwIFmXsG3btlbrlsjp+3DDBNHFMMTn85csWSIlJRUVFSW6XF1dXXSfBEGUl5ePGzduyJAh5O9ySVZWVvjptLVCVVXVDz/8MGDAAMnBWeTmJ06cwHe7GoZGjx4tKyubnJwstnJSUlKfPn2mTJlC1qN0KQzhmiELC4t79+45OzvfunXLxMREW1t70qRJgwYNOnHiRFtTz1VUVKSkpAQHBwcHBy9duhQh5O3tjR9qPwzx+fySkpLExETcLILfXWTn3Pr6+smTJ7f6fisqKho6dOjo0aNxJR/Z9+XBgwdtPcGoqKi+ffv+9NNPgYGBoSLCw8NxjygjI6NWN8SnalVVVbIqi8Vi/fTTT3369CGbgENCQvAkOlu2bAkPD2+rDGJwGJK0YcMGsT4uhoaGuAxieyguLh4wYIDotr/88otolVuHYaigoKBPnz5ycnJkNyA2m41bAGVlZeXk5AYOHEhON7V48eK2PvsEQTAYDJyibt++LfYQbowTJdo3HL/Cv/76q2STYmBgIEJo7ty5rc6HjpM37hOWlJQkIyMzfvx4HHaZTOakSZO+/vrrlpYW3LvLxcUFb3Xz5k30z85z7YQhOTm5ESNGSE4qgQu2ZMmSf/dwXdCbQRjqAG4LWLVqVSfX71IYmjBhgry8fE5OTqu7whUeov1VMaFQiAe44R6mkqSlpclTyNatWxFCrq6ukjv5mDAUHR2NTxtKSkqr/rZ69eoff/wR/bOGPD4+XkZGZtKkSe30z8BdFq5evdrWCsnJybKysj/++GOr/WcfPHiAEFq3bh2+29UwNHLkyFGjRkl27vnIMIRbuCR/gufm5uJf/IaGhqLLy8vLz58/P2vWrLFjx8rLyw8YMOCrr77C/2Kyx3FbYSg7O/vEiRPTpk0bM2bMkCFDBgwYgCeDkJWVJTuQ1dfXT5o0aeDAgZKxr6ioSF5engxDLBYLl9DPz6+tJ/js2bM+ffqQ53VJ2trarW5YVVU1duxYOTk5Mtf6+voihBQVFUVX8/HxmTlzJt7V0qVLXV1dO5y2mKwZevr06dOnT589e4ZroSSnv7K2tkYI/fbbb2Jti0wm08fHx8PDw8PDAyfsyZMndykMBQQEIISGDx9O/t/JMDRp0qS5c+cuXLhw8+bNBgYGnp6e7XfI4/P5+GMuOoYAKy8v9/gbrvoVrSTGYUiyKYogiLt377YaU7AjR44ghC5duoSPPnXqVIQQ/hCFhIRISUnhDXFwIfePv2FEO+21E4ZkZWUnT54s+VVAhqFWWwwB+AwgDHUA93eZPn16q+OBJbUVhjgczsiRI8XC0Pfffz969Oi2LuWBw5BkdyKBQIC7x27ZsuXixYsXRFhaWl68ePH69evkyR7/xPf09BTbyUeGoRMnTiCEBgwY0K9fPykROCF988035DimyMjIPn36TJ06tZ0piHD1lVivTFFxcXHS0tL/+c9/xObNw3AYWrlyJb7bThhqamqSDEMjRoz48ccfJcfhd0sYanXUdGhoKEJowoQJZIetlJQUXJM0bdq048ePX7ly5dGjRy9evMCjjdoPQz4+PnhszsKFC0+fPm1jY+Pu7u7u7j58+HBpaWnRMPTzzz8PGzZMcrYCsTDEYDBwP+h2pt90c3NDCE2cOPH8+fOWlpaib0IrK6vz58+3sy1ucCH/3fv37xetaSAxmUx3d3ccaPBnMDIysq19En+HIdFzcG5uLu6uGxoaKrom7kA9YcIEyX86KScn5wPCEK4mUVBQILcim8nevn2Lr1DWzlMQg18o0bYqSfgL6tixY+QSHIb27t0ruTJu/Go/DJGjuvDR8eweeHAG/h+1tLR8//33w4YNa2xs5HA448aNGzRokGgf8HbCUFvzDEEYAj0OwlAHoqKipKWl2+rjLAnPCyL5rV1dXS0vLy8jIyMWhkaNGtVW+xEOQ63+OsedKtppxSB1PgzR6fSZM2d2JgzV1tZ+9913gwcPfvv2bVZWVqaIjIwM3EpCVvPk5eUNHz585MiRknMgkcS6jEii0WgjRowYPHhwq+9S3IOKrKjncDi42YXs0UkqKSmRkZEZOnToh4WhoKAghNDcuXM/MgzRaLT+/fsPGjQIX2+VyWQuWrQIIaSrqyvWPfyPP/5oPwyVl5ePHz8eIXTlyhWxEy1e/gFhSCAQ4DoJPAlWq3BVwfz589t/HVoVFRWF/u6HXlNTM2bMmG+//badt0dUVBTuPzd27Nh2rufV6mgyfBafP3++6FkWNwv269fv8ePHbe0tLi6uq2GI/D+KRhMyDH3A5eRwt7yxY8e2c+lD3M1fMgy12s3Rw8MDIbRs2bJWd6WhoSFax4N78uFOgdOmTfvqq6/IYuCq3Ldv3+LIuHDhQtH94LH9klVTEIZAbwZhqAMsFguHhk62lOFOHpLJKT4+vl+/fgMGDOiWMITHbbXVEiGq82GoubkZjybrMAzhX35t9Xb09fWVkpKaMWMGnoyATqdPnDhRWlq6nV7D+Pf0+vXr21qhpaVl7ty5CKFW+1jgfl02Njb4Lp/Pnz17NmqtY01YWJiUlJS8vPyHhSG8+ezZsz8yDMXFxeH5Y3D4KCwsxJ18xRoBmUwm7uTeThgKCQlBCM2YMUOsxae4uFheXl5KSuoDwhBBEAcPHkStTQspuv9BgwYNGjSorckF2sHlcn/77bf+/fvTaLQ3b96gzvXJwyGbnIZUUqthiE6n42EKorM68fl8/HNCQUGhrda3DwhDV65cQQgNHjxYdCRdO0PrO4Rb0hFCR44caWudLoWh3NxcGRmZUaNGSVbTslgsPE83+TktKioaPHjwtGnTwsPDpaSkVq9eTa7s6emJs7uLiwuSGECKa2qhZgh8WSAMdezly5e468bp06c7nEgeD6W5cuWK2HLc92jQoEHdEoaSkpIGDRo0cODAtqZrIztIdj4MCQSCtWvXIpHuuq0SCAS4ukJynxibzca9DcgxULj6XXLMMyk7O3vo0KEyMjLtnDBw/lu7dq3Y8uTk5KFDhw4dOlR0diX8G9fR0VFsZRybRowY8WFhKCcn56uvvhozZkznr00mmTy4XO6mTZsQQsuXL8f/JvzzeuTIkWIj3h8/fow75bQThvz8/FBro8RxL1cZGZkPC0MvX76UkpKaMGFCW1PgkJ2sDxw40NYKbb88xLVr13BLGZ6qqp0B/CRcx+Pg4NDWCm3NM4TPzaNHjxbNbQkJCXiayh07drRaKZWRkdFWGJJ851dXV5uYmOApBMWSwceEIeLvF6pPnz5Xr15tdaozPPdVJ8MQ+RQuXLggtvz27du4Co08ikAgWLFixaBBg/Cn5tatW+TKFRUVI0eOnD179tq1a6WkpMRaIXEFKp6LVRSEIdCbQRjqFHIO6CVLljg7O8fHxzc1NTU0NKSnp9+/f9/W1pZsocDfROPGjQsICOByuTwer6KiwsDAQFZWtm/fvt0Vhsgi/fDDDw8fPiwvL+dwOHQ6PTEx8erVq3fv3v2AMET83RNIXV29trZWIBDweDzJU1psbCy+bnY7F1TCE/6SfR0KCgrwFTG1tbVTUlI4HA6TyYyNjXVxcSEvEYDHcn/33XcPHz6sqanhcDiVlZUeHh5kHVttbS3uQLN3796cnBwul8tisQIDA/GMt2JzseCOoj/++GNYWBj+L5SUlOjp6eHZpb/55psPC0NsNhuPV7e3t8f9P9qaC4AMQ69fv87Ly8vMzExPTw8MDHR2dsZRcsiQIWQCaGxsxLUXpqambDYbT8F8//79UaNG4RnG2wlDNBoN58jbt2/zeDyBQECn0y9dujR48OCvvvpKrAN158MQn8/Hk9zMnj3bz8+vqamJw+HQaDQ3NzeyJ1ZOTg7+t+ro6CQlJTEYDA6HU1hY+Pz5c2Nj4/YnTc7Pz//6668VFBSGDRs2ffp0sdO8paWlnZ1dWVkZl8sVCoVcLtfHx2fUqFEyMjLkiDNJbYUhfFKXzAcuLi64i9tPP/107dq1gICAwsJCBoORn58fGRmJq3kmTpwoGYauXr1aUFCQlpbm5+fn6OhoYGCA61QQQn/99ZdYt+iPDEMcDoe8Cuwff/zh4uISGRlZU1PT0NCQkZERFBSkpaWFWhtN1lYYevfu3ZAhQ/r373/16tWamhoej1dfX+/q6jpkyBBpaWnRC4kQf38qBw8ePHz4cLFxHpqamjIyMvirQOyzU1ZWJicnJyMj8/LlS4FAwOfz8WsIYQj0ZhCGOuvixYv40l0IIWlp6a+//hrPmYEQ+s9//kOGBjabjcd34FP7hAkTcAxycHDAvZ7JTg+VlZV4Xru2Thv4rNnW9DxcLtfIyAhXWQ0cOHD48OH40vHon3OX4UQlOT2PUCjEk1C/fv2aXJiTk4O78X777bezZs1asGCBWCOIUCjEP+Xb6d9DEEReXh7uaEWeiYOCgvAJo0+fPsOHD//666/xlyx5YmYymfhyUbj+bPjw4XgCaNEhu2lpabjM/fv3Hz9+/IgRI/D6p0+fFmu3YjAY5JSV48aNGz9+fP/+/XFiwC1o5OU4CgoKZGVlR4wYIXnhkfj4eITQ999/L9qm4Obmhi/WMWnSJAUFhUOHDrX6ClRXV48ePRoXoG/fvmIDr0C79yoAACAASURBVObMmSN24aeXL1/i3DNmzJgZM2bIy8sjhE6cOHHhwgUkMgeSUChcuHAhEmkuFAqF169fx2+DCRMm4L4dffv2tba2xh2Tydn/8EQy/fr1k5yeAM8z9NVXX4n+u8vKyvDEzQihoUOHDh8+HNd8ODs7k+sEBATgWkApKamvv/56+PDh+PIOQ4YMkYxcYsh/EDkxNAnPKTVw4MCxY8fOmzcPz5gsIyNjZ2fXToWTra0tTgySD0VHR+MLj4hdO+/58+e4/JicnNywYcPwQDxMUVFRtCcWbgRHCOFxA0jEokWLWr3yLpvNxtM7tXoRks7g8/nm5ubkhTXwyysvL09ekQb9szrq/v37qLU5D0lPnz7Fkx8OHjz4hx9+wNdvGT58uOQEVLinP0JoxYoVYq88/r2BEJK8ICvxdz0uQkhBQWHKlCkWFhYEQSQlJSGEfvnlF8mmSVzBOWvWLAhDoKdAGOqC7Oxse3v73bt3L168+Jdffpk/f/6GDRtMTU3F+qaw2Ww3N7ctW7bMmTNn6dKlx48fx9XI3t7epqamZDVDc3OztbX15cuXycnKxDx+/NjExKT9k0pERISxsbGysrKCgsKiRYu2b99+48YN0Wk8PDw8jI2NRZuQSM7OziYmJmI9UtPT048cOTJv3rxJkyZpa2uLVf/w+XxHR8czZ860/24RCASurq4nT54U7TFTVlZmbW29Y8eOWbNmzZkzZ/fu3U+ePBGrEnj79u3JkydXrVo1derUVatWGRsbi80Q8/79ewcHBzU1tRkzZvz5558nTpxoa9RSS0uLs7Ozpqbm7NmzlZSUTp48iadEevHihbm5Ofl13NDQYGVlJXrpVlJlZeWZM2fs7e3FCunh4aGpqTlt2rQZM2aIXTdX9Oi2trbGxsanT58+JcLGxubly5etdjkKDQ3ds2fP7NmzFy9evH///idPnhAEUVJSYmJiIhpf3NzcTE1NxWZq8fT03Lx588yZM5cvX66jo4Or0xITE01MTGpqavA6LBbL1tb24sWLkv1FGhoaLC0tRa8ijHG53MePHx85cmTp0qXTpk1TV1e/fPmy2IC+6upqW1vbvXv3zp07d/r06evWrTM0NAwPDxfrwyQpMTHR2Nj47Nmzkj8G0tPTz507t2HDhnnz5ikoKKxcufL48eMdzlQZHx9vaGjYVp/oBw8enD59WnKiirq6Ond396NHj65Zs2batGlTpkyZNWuWsrKyvr6+h4eH2KfjwYMHxsbGhoaGp06dOn36tIGBgaGhob29/bt379p6vjwe786dO4aGhh/5BZuZmenk5LR7925FRcXJkydPmTJl4cKFmzZtsrS09PX1Fb0Ia3p6urGxMb72cFsyMjLOnj37559/zpgxQ01NzczMrNWviJaWlkuXLhkZGUlWa1VVVVlYWBgbG7c65RWXy719+7aysvKUKVPmzp2LM+j79+/NzMxu3bolOZlQQUGBiYmJs7NzW1WtAHxqEIY+BI/HYzKZ7U8TQhAEl8vt8JTQXVgsVjd+j3C53A77CH8wDofT/ksnFApZLFb7nU44HE77K4iu2aXxzJ3EZrM/xa9YDofzwe+ZT/RMCYLg8/kdPlkul9vtLwjeZyf/0R8Jv+tYLFYvn/ePz+fjcn78513yCjDdjsVidfg9CUBvAGEIAAAAAJQGYQgAAAAAlAZhCAAAAACUBmEIAAAAAJQGYQgAAAAAlAZhCAAAAACUBmEIAAAAAJQGYQgAAAAAlAZhCAAAAACUBmEIAAAAAJQGYQgAAAAAlAZhCAAAAACUBmEIAAAAAJQGYQgAAAAAlAZhCPQ6JSUle/bsCQ0NJZdkZGRoa2sfOXJER0dHR0fn9evXePmrV6/27t1ra2srEAjwkidPnrx8+bIHCg0AAOCLBWEI9CJ8Pv/FixcLFiwYPHiwg4MDufz+/fsLFy7MycnJzc3Nzc2tra0lCIJGoykrK/v4+GzevNnT0xMvWbZsWVpaWo89AQAAAF8gCEOgF2lqajpw4ICXl5eWlpadnR253M7OTktLS2zl58+fa2trEwRx7949IyMjgiBMTEzMzc0/Z4EBAAD8C0AYAr2IUCjENzQ1NW1tbcnlRkZGBw4c4PP5fD6fXPjkyZNDhw4RBPHw4UNTU9O8vLzt27c3NTV95jIDAAD40kEYAr3R5s2bHR0dybu3bt1SU1PDHYaOHDlSXFxMEERqauqePXsIgrh8+fLNmzcNDAzs7OwsLS03bdr0/PnzHis6AACAL00PhKHKysrg4OCQkJBQACSEhYWFhoYuW7ZMV1c3IiKCXBgYGOjt7e3r66uurj5r1iwvL6+QkBB1dfVt27YtX7789OnTK1eu1NXVXb169ZUrV2bNmvX48WNycwBAjwsKCkpOTiZrfwHoVXogDDEYjOLi4uLi4hIA2rB27VozM7PS0lJ8t7S0tKysrKysrKKiorS0VEFBwdHRsaKioqysLDIyMjc3V1lZ+dmzZ3p6ejdu3KipqVFXV7969Sq5efvc3d2TkpI+5bMBAJQUFxe/f//+85xlAOgqaCYDvdGmTZtER5OJmTlzpuj4+YCAgK1btxIEcfr06WfPnhEEsWvXrocPH3byWEFBQXV1dR9XXgAAAF8wCEOgN1JVVb127Rq+zeFwMjIyyIeuXbv2xx9/kD8xm5qa1q5dGxoaShCEtbW1kZFRU1PTn3/+GR4e3sljBQQEwA9WAACgMghDoDfau3fv7du38W0Oh3Ps2LE9e/YcOnRo3759hw8fptFo5JrOzs54TBlBEFVVVdu2bVNTUzM1NWWz2Z08FoQhAACgOAhDoDdiMpkcDoe829LSUlxcXFRUVFRUJNYBs6mpicvlkndZLFZZWVmXjgVhCAAAKA7CEKA6CEMAAEBxEIYA1UEYAgAAioMwBKgOwhAAAFAchCFAdRCGAACA4iAMAaqDMAQAABQHYQhQHYShDyMUCltaWkQvnQsAAF8oCEOA6j5PGKqvr3/8+LGTk5Ojo+Pdu3ebmppEH62urr5165ajo6Ojo6OLi0tDQwNBEBkZGa6urnihq6uraOxITU11dnZ2dHR0cnIqKSlp9YhBQUF4Wycnp85PQdl5jY2N27ZtS0xM7PY9AwDAZwZhCFDd5wlDISEh48ePv379urOzs5GR0cqVK4uLi/FD9+/f37p1q42NjbOzs7Oz88GDBwsKCgiC0NPTW7hwIV5oYGCgqqqKJ9omCOLAgQOqqqrOzs5WVlZKSkpRUVGix6qpqTly5Iienh7e9sKFC5cvX+6WZyEUCpubm/FtOp2+atWqmJiYbtkzAAD0IAhDgOo+TxgKDg5WUlLi8Xj4rqqq6vnz5wmC8PLymjVrVmpqquQmJ06cOHXqFHnX2dl50aJF+DJqOjo6N2/exMvPnj27d+9ecjUWi6WpqamnpycQCNoqjFAoFJ27svMXEo+IiDhy5AiPxxMKhXQ6XVlZOSkpSWxvAADwxYEwBKiu82HI3d1dR0eHvOvq6qqvr49vC4XCpKSkEBGZmZmi24aEhCxbtoy8Iuzhw4cNDAwIgtiwYYOVlVWrh9PX19fT0xNdsm7dOjc3N4IgdHV1r1+/jhc6OTmpqKiQ64SFhf322281NTWSO8zOzra0tAwODt69e7e9vT1BEFlZWfv27dPW1j5y5Aj+BtDV1fXz8yMIgsVibd++3cXFBW+Lq5dUVFS+//57bW3tW7du0el0DQ2Na9eu6enpaWtr79q1q9WDAgBA7wdhCFBd58NQRkaGgoICvmqsQCBQUlKytbXFD/H5/Dt37hiLcHd3F902NDR00aJFRUVFLS0tKSkpS5YsSUhIYLPZCxcuDAwMxOuw2ezm5may9kgyDJ04ceLYsWMEQejp6V28eLG5uTk7O1tJSYm8jhvxz2wkEAgYDAaTycR3ExISJk2aZG9vX11dzWQyKysrlZSUXr161dTU5O7uvmLFCgaDoa+vr6urSxBETEyMnJzc+vXrCYKor69fsGBBbGysp6enurp6U1MTk8lsbm5esGDB7t27GxoampqadHR0Dh8+3KVXHgAAegkIQ4DqutRMtn79ehMTE4IgkpKS5s6dW1pa2skNo6KiJkyYsHPnzk2bNs2cORN3tcEhg+zdfP/+fW1tbUVFRW9vb4IgTp48KRaGdHV1ccOZvr7+vHnztLW1t2zZguuKSLa2ths3bsS3y8vLdXV1t2zZoqWlxefzU1JS5s+fX1FRgR91dXVdt24duaGqqmpAQEBoaOiaNWsIgjA3N9fV1dXQ0MjPzw8PD1dSUuLz+d7e3ps3b8brNzY2Kioq+vr64rvh4eHr1q3r/PVxAQCg94AwBKiuS2HoyZMnS5cu5fP5hoaGuAYF4/P5Dg4Ox0Xcv39fdMOQkJAlS5bU19dXV1cvX74cZwg+n79y5UoyzQiFQoFAsGPHjhs3bhCthSFVVVX8kK6urrW1dau9gl6/fr1kyRLyMrcCgSA2NnbZsmUsFis5OVlVVZXsAW1paampqUluuG7dulu3bjGZzDVr1sTHx2/YsCElJcXU1PTGjRt2dna4Uc/T03PTpk14fdxnKCEhgXyC69atY7FYnXwlAQCg94AwBKiuS2GITqf//vvv9+7dU1NT8/f3J5cLhcLc3NxEEYWFhaIbhoSELF26FPcZcnd3X7x4MW69unTpkqqqquiaBw8edHJyIgji5MmTx48fJ5dHRkYuXLgwLy+PIAhdXV0bG5tWS1hdXT1//nxct4RlZGSsXLkShyFlZeXGxka8/OnTp0pKSmSiWr9+vY+PD0EQ+/fvP3DgwPbt2/GLo6KismHDhhcvXhAE8ezZsy1btpAvxfr162NjY/Hd4ODg9evXQxgCAHyJIAwBquvqaDJzc/NRo0Zt3bqV7NzTGf7+/jNmzMAH4nK5a9asOXz4MJfLra+vV1NT27ZtW2xsbHZ2dnZ29vr1652dnQmC0NHR2bBhA17o5OQ0b968J0+e4L3t2bPnwoULbR3r2bNnc+fOtbOzw9s+ffpUUVGRzWbHx8crKirS6XS8WmNj4+bNm21tbbOzs21sbNTU1BgMBkEQrq6uCCEcthgMxtSpU0ePHl1bW0sQRGRk5MyZM8PCwioqKurr65ctWxYZGYn39vbt22XLlpH9kwAA4AsCYQhQXVfDUHZ2tqysLNl1upOysrIsLS3JuRbj4+NPnDiBEwaHw7lx48ahQ4d0dHR0dHSOHTuGh2V5enpqa2vjhfr6+jQajdzbgwcP8Jivdg535MgRvO2hQ4cePnxIEERhYaGNjY1oXqmvrzcyMtLR0TEzM6uvr8cLaTSalpZWdnY2vnvjxg1TU1N8WygU3r1798CBAy4uLgwGw9bWFk+JhI9oY2PD5XK79LIAAEBvAGEIUF1Xw1BmZuasWbPEWsEAAAB8uSAMAarrfBji8/kMBmPHjh0whhwAAP5NIAwBqut8GAoKCtq9e7eurq7YlcUAAAB80SAMAarrUs0QzKMDAAD/PhCGANV9nmuTAQAA6LUgDAGqgzAEAAAUB2EIUB2EIQAAoDgIQ4DqIAwBAADFQRgCVAdhCAAAKA7CEKA6CEMAAEBxEIYA1UEYAgAAioMwBKgOwhAAAFAchCFAdRCGAACA4iAMAaqDMAQAABQHYQhQHYQhAACgOAhDgOogDAEAAMVBGAJUB2EIAAAoDsIQoDoIQwAAQHEQhgDVQRgCAACKgzAEqA7CEAAAUByEIUB1EIYAAIDiIAwBqoMwBAAAFAdhCFAdhCEAAKA4CEOA6iAMAQAAxUEYAlQHYQgAACgOwhCgOghDAABAcRCGANVBGAIAAIqDMASoDsIQAABQHIQhQHUQhgAAgOIgDAGqgzAEAAAUB2EIUB2EIQAAoDgIQ4DqIAwBAADFQRgCVAdhCAAAKA7CEKA6CEMAAEBxEIYA1UEYAgAAioMwBKgOwhAAAFAchCFAdRCGAACA4iAMAaqDMAQAABQHYQhQHYQhAACgOAhDgOogDAEAAMVBGAJUB2EIAAAoDsIQoDoIQwAAQHEQhgDVQRgCAACKgzAEqA7CEAAAUByEIdC6iIz3XrGlQqGwpwvyyUEYAgAAioMwBFpn/SJd1zGmp0vxOUAYAgAAioMwBMS9y3h/wyv7sEPUjsvh9q+zEvJqe7pEnxaEIQAAoDgIQ0Dc49CCfbaRmyxD1SyCd1lHeMWW9nSJPi0IQwAAQHEQhoA4vkDIFwgt3VMP2kexOXyB4F/ebQjCEAAAUByEIdC60LSql1ElPV2KzwHCEAAAUByEIUB1EIYAAIDiIAwBqoMwBAAAFAdhCFAdhCEAAKA4CEOg16murj527FhUVJTowoSEhL/++uv48eOPHj0iF/r7++vo6Ny9e5dc8vr1a29v7y4dDsIQAABQHIQh0Ivw+fy3b98uWbJkwIABDg4O5PKoqCglJSVPT8/ExMRt27ZdvXqVIIiioiIVFRV3d/eNGzd6eXkRBFFcXKyoqJiQkNClg0IYAgAAioMwBHqRxsbGXbt2PX78eMeOHXZ2duRyLS0tMzMzfDspKWnOnDmVlZU+Pj579+4lCMLFxcXY2JggCHNzc0NDw64eFMIQAABQHIQh0IsIBAIul0sQhKampq2tLV7IYrGWLl366tUrfJfH4ykpKQUGBnp5eR06dIggiIcPH5qYmBQXF2/bto1Op3f1oBCGAACA4iAMgd5o8+bNjo6O+HZ9ff2vv/4aHR1NPvrnn3+6uLgUFxdra2sTBGFjY+Pk5GRqanr9+nUbG5sdO3b4+Ph0/lghISEfEKEAAAD8a/RAGHr//n1ERMQ7AFoTGRkZGRmpqKh49OjR6OjoqKioFy9ejB071sHBISYmBj86ffr0w4cPx8fHq6io7N27V1FR0djYeOXKlUePHl2xYsW5c+dmz57t6ekZExPTzlHI225ubm/fvv0sTw4A6goPD09PTxcK/+Uz2oMvVA+Eoaampry8PBoAbVu9erWpqWlBQUF+fn5SUtKsWbPu3btXUFBAo9Hy8vIWLVp0+fLl4uJiGo3m5+eXmpqqoqLi5uamo6Nz/fr1iooKFRWVS5cu4fU75OHhER8f/2mfDwCUl5ubW15e/nnOMgB0FQ2ayUAvtGnTphs3bpB316xZ4+bmhm+3tLQsWLAgJiaGfPTdu3ebNm0SCoWnT5/28PAgCGL37t0PHz7s5LGCg4Pr6+u7r+wAAAC+MBCGQG+kpqZmY2ND3nVzc9uwYQOPxyMIwtraevXq1bifNUEQTCZTRUXl7du3BEFcunTJzMyMw+GsXLkyODi4k8eCDtQAAEBxEIZAb7Rjxw6yAzVBEHw+38bGZtu2bXp6env27ElNTSUfcnFx2bVrF75dWlqqoaGxceNGfX19JpPZyWNBGAIAAIqDMAR6Izqd3tLSIrYwJycnPT2dwWCILqytrRVdQqfTs7OzcR1SJ0EYAgAAioMwBKgOwhAAAFAchCFAdRCGAACA4iAMAaqDMAQAABQHYQhQHYQhAACgOAhDgOogDAEAAMVBGAJUB2EIAAAoDsIQoDoIQwAAQHEQhgDVQRgCAACKgzAEqA7CEAAAUByEIUB1EIYAAIDiIAwBqoMwBAAAFAdhCFAdhCEAAKA4CEOA6iAMAQAAxUEYAlQHYQgAACgOwhCgOghDAABAcRCGANVBGAIAAIqDMASoDsIQAABQHIQhQHUQhgAAgOIgDH0x+AJhVQOTxeH3dEH+bSAMAQAAxUEY+mLUNbO3XQ6Lz63t6YL820AYAgAAioMw9AXgCYQVdS3J+XUbzwe/ji6trGcKBMKeLtS/B4QhAACgOAhDX4BqOmv7lbCN54NXm/qrmAfusYlobOH2dKH+PSAMAQAAxUEY+gKwufy43Bqv2FIV86A7frkJtFouT9DThfr3gDAEAAAUB2Hoi9HA4Ghff5dEq+vpgvzbQBgCAACKgzD0xRAIhc1MLo8PdULdDMIQAABQHIQhQHUQhgAAgOIgDAGqgzAEAAAUB2EIUB2EIQAAoDgIQ4DqIAwBAADFQRgCVAdhCAAAKA7CEKA6CEMAAEBxEIYA1UEYAgAAioMwBKgOwhAAAFAchCFAdRCGAACA4iAMAaqDMAQAABQHYQhQHYQhAACgOAhDlNPYwil638wXCHu6IL0FhCEAAKA4CEOU45dQtuNKGJPD7+mC9BYQhgAAgOIgDFEIvYWTU9bo4p+35VJoXG5tRV1LT5eoV4AwBAAAFAdhiEL8E8vXnQ1QtQhabRqwxtTf6llaT5eoV4AwBAAAFAdhiELqmthpRfWOXjkbL4SEplYVVzf3dIl6BQhDAABAcRCGKCcsrfLorRhWd/cZ8ootvRdA6959ivKOK3MNyPsUvb4hDAEAAMVBGKIcvkDI4XX/WDLrF+m6TjHdvdf/Z+OZoXMj+lPsGcIQAABQHIShbmb/OutVdElPl+Kz8o4rNb6XsOtq+CbLEAOXhJDUyk+yf+sITcsQA5eE4JRu3j+EIQAAoDgIQ93ssEOU3evMni7FZ+UVV2rilrTzaoSmZchp5/huD0N4/7uuRmhYhpxyjg/u7v1DGAIAAIqDMNRt7F9nHb0Vo34uaPvlsKM3YzNLGnq6RJ/VJY+0w5+mGQu74pF+yD7qU+wZwhAAAFAchKFu8zi04NKztE0XQ/fbRl72SC+obOrpEv2PQCh8Gl4Yn1v7SY+SUlD3LuMDI0UDg3MvIK+omtHOOqmF9REfuv/2QRgCAACKgzDUzQ7aR9m++sBmsromdnJ+HZvb/XNDa10Nvxf4CYd6faRqOmvdGf8E2qeNa23pkTDEbW4q9/PlNDbiu+/Dw+jZWZ+5DAAAADAIQ90sgVabV974YdtGZb7fcC64nsHprsIICeJJWIHd60xNyxC9m7EOb7Iq6nvXrNP0Fs4t35zLHmkqZoGm95NcA/I+RRZsX4+EIVZNdfhWzYRTJ3gMRrmPl7/S0nIfn89cBgAAABiEoV6hrpkdnV3t4p+rcSHEO64sq5TeLbsVCokL7qmHHKJUzAO3XgrTcYzO7zWNd1g1nXXiTtxBu6i1ZwJ2WUeYuCW2sHkfuU+hkIjJqen8M+2pZrLGrKzIXVpRe3eFbVQrevKYgCvnAgBAD4Ew1CtEZVermgeqnwtebRqw7mzAmQdJ3bVnvkDI5vK3XQ676ZMjEAp72wlXKCQEQmF+ZdMaU/+w9CpBNxVw97UIF//ONgv2YJ+hvDu330ybEr5FszHr/9vIGnNzuA2fqvc9u7amifb/rww9K5Pf0rsqCwEA4PODMNQrtLB4JTWMp+GFquZB0Tk17xtY3bv/ZxFFibS67t1nN2pict0CaaU13XBWjs6u9kso23El7OyDZP+k8vrmjtsceyQMCYXCkhfPQ1TWZ12/FrVvz1ulJSWezwmCqPDzDV63ujb2U01fWRkcFLRu1fuICIIg8l2cQ9VVmgsKPtGxAADgSwFhqBdJK6w3vpdIb+H2dEG6R3ltS10T+zMf9JRz/MbzwWvPBqhZBGlahmSWdNzg2CNhqKWkOHyzJs3lLkEQjbk5Edu2BK1blX7xQthG9bxbN/nsT/W68ZnMrOvXwjQ3pJ23CFVTKXn5Usj/3J20AACgt4EwBD4VXaeYu355n/mgdc3sijrmjivhNp4ZNXQWlyfocJMeCUMCLrcp7/9fHHZtbYL+8dcKkxL0j3+Go8ccOvBq8s9Z165+hmMBAEDvB2GoF0mi1Z66G1/X/LlrU7pdWW0LraJxn23kZY90WkXTx/eJ7qrrLzP8Eys6uXJvmGeoMjAgfJNG/HG9MM0Nxc89iE/WuUvA4xXcdwvT2BB/7Gj4Zo2qsJBPdCAAAPiCQBjqFYRCgi8QBqVUbDwfXFLTIuj+66h+Vied45XNA9eeCVA2C1IxD0zqxd2ViF4QhhpSU4LWrMq7fVPIFxS5Pw5c9UdNZOQnOlZlgH/gn0plXm+EPH6mjXWIyrqm3FzyUVZVFZ/1v/5qfCaTVVX1iYoBAAC9CoShXiGBVrvbOkLravjaMwHbL4ddeZ7e0yX6KDlljQl5tTutI8wfJifl1zX17l5QPR6G2NXV70NDydqg6ohwZnn5JzoWo6iITFoCLq8qOJjz98g1oUCQfMYk0eCkgMsVsDkJ+sdTzc2Ego7bGQEA4EsHYahXKHrf7BqQZ/EoRdU86NrLDL/ET3Uu/JxM3BIfhxb2dCk61uNhqPeoS0wI1VBPNT+TevZMmObG+uSUni4RAAB8DhCGepF3Ge83ng+u/ewjsD4RNpfP5X8B9QofH4YEIoO/hAKBgNu1mjDBP8eOCThdnoJcyOeJVuF8zGC02rhYv8Xz/RbPr0vqtsmuAACgl4Mw1IvQGZzM4gZOJwZAgVZFZr2/8jydweLZv8562+natY8MQ1w6PeHUiTLvNwRB8JnMZBPD4qfund9cwGanmJ/Jv38P382wssy96dTVMlQFByUZGeAGr/ehIQn6x1kf9Ix4DEaqhVnYpo3hmzVSL1jwmcwP2AkAAHxxIAyBz6HoffPrmJIWVjcMK8uvbHoTW8rktDI7jmdU0bbLYfQW7n7byLtvOzuq/yPDkIDLzXGwC1q3qvT1qzQLs1A15Ya0tC5sLxQWPX4UsOrPwiePcuyuB61e+T48vEsFYNfXpZwxDlixPNnUuMLPN3jtqsSTJ8h+0J3H53BSLcxCVNY30WhNuTnBymvTLc9/QDUVAAB8cSAMgc8hJKVS1TywidkNYcgvsUz9fLBYGIrMfH/0Zsw+23frzgZoX3+33ixg19UI/btxnblCWbf0Gcq96ejz+5wQlfVN+Z29DIio4ufP/BbND/hzeW1cXFe3ZdfWxuoeCd2gGqK23n/ZojCNDY2ZmR9QBiGPV+7tTSa5+pSUCl8fmJIRAEAFEIbAp1X0vvlpeOEVjzT1c8GuAXnh6R8+Wju/sulBcL7F4+SN54Nv+eaGiewqgVZ38Wmq3s1YFfMg/TvxahbBB+2jLj1LK6lmdLjbjw9DIXBDvAAAIABJREFU/JaWVAuzwJV/hKqrVIUGd3VzIZ+fY28buOrP4PWrS148/4ACsGqqYw7uD1i+7K3ikljdw9zG7rnQ70eq8H+bd+c2vl2fkpx1/Rq3qXddJxgAADAIQ+BjCYVEZklDeV3r/UvicmtXGr9dYfR2jWnAIn1vs4fJH3ygsPSqHVfCt1qFrj0TsNkq9Por8fqPF5FFm61CaxrZe23e3fHLbXUnkj62z1Bzc+Jp/bANag3pafn3XPz/WFYZGEDPzKxPSsQrsKoqK4MC22pv4rPZGZcuBq1eWRsbU/bm1VulpYWPHwm7ONEUPSM9dKO638L5oRvVQtRUEk+d4NTXf/Az6i5VYaH+y5fl3r7ZkJYatlE9yeA0dEICAPROEIZAN9h7/Z1bUJvvH/vXmevPBm6+GLrhfFB0dvUHH4XLFzA5/GcRRWoWQUXvm9lc8Rac0hpGZFY1jy+MzanpTAMZ9pFhiEOnZ1lfbUhNxXfzXV0q/f0LnzwKWLm8Ni6WU18fvX9vzKGDvDZyAJ/JzHGwr/67n1Dxs2eFjx51aXYfPpOZcOxo4MoVpS89E0/pB65akXhKn11T88HPqBtVR74LUVsf8KdSqrkZJCEAQK8FYYhyymtborKqu2vMWnpRfXR29U7r8ItP02JzapqY/xhVXljVHJtTY/4oad2ZgI3ng9Usgu4H5SfR6j5myH16cb2TT06rHahbW7khtbCDOpJPMc+QgMvNtrMN01CP3L0z5tABRnFx9+5fVHNhQezhg1WhIQRBMKuq4o/plXt5tbVyY0526ZvX+Da3sbH4+bNPGpua8vJC1VV9f5+Tc8P+0x0FAAA+EoQhyvGNL9OwDGZzuycMHb8dq2oetNY0QNksSP1cUHYpncXh1zax8RVFHN5krTcLVDYLXGMaoGIeuNLEX8U8aLd1RAPjM41RMn+UbOia2P46n2jSRdb7qmDltV4zppW9ftXtO/8HoZDb2Eje4zFahG1PdFQdHeW/fCnN5S63sTHJ8HToBrWWsjJyP800GjkhNbuurolG+5irpNUnJYaorEs7Z1Hx1jd43eosG2s+618yhxYA4F8GwhCFlNe2+CeWW3uma14MeRFZ3GGVSSf3mVfetP1y+NUXGaU1DIIgglIqtW3eMVhcgiBqGllF75tN7iUeuREdnFKhaRni8a6orLaF/+kvvpZR3OCfWH70ZsyRG9FvE8tLatrsSf0pwhCzvDz28IHYw4fSrS6GqivjapteojIwIHSjWsS2LZG7djRmZ5PLhQJBsqlR9MF93KYmLp0evW9PqtmZj7kcR9HjRymmxrh1rML/bcKJY+zqD28kBQCATwfCEIUEJleonwvecD54zZkAZbPAq913BbTzT1K848v4AuH7Bubj0IItVqFZJXT639U/94Not31z6AzO9sthUdmfqS+L3atM9XNBymaB+M8nvqytNT84DDXn5zfl/a+bNo/BqEuIF/L+N3dAzg37d9u3sSqrCILIuGwVtXc3u7b2Aw4hSigUNqSlsd5XEQTBKCmuiYpszMkmCILX3FyXmND5aa+FPH7MwX2vp/6SceWS2ENNeXmRu7Xij+vFH9WL2rOrOb/gYwos4PJER+Z/wNRHAADweUAYohAmm1fTyLoflL/hfHBWCb2xpZvbqgKTK5TNA9XPBa0xDVh3NtDq2T/mHmxgcLZeCo3O6XIY4nK5jo6ORn9zcHBgMpkEQdTU1Jiamp47d67h75adsrIyV1dXDodDEASdwamms047Jxy7FVtZz2Sy25zi6IPDUMF9t6D1a2qiozgN9cnGhtHae7iNTRw6nRAKmeXl5CXfBRxOU16eUCjEt0XHvXPoDZ2f1VDI5yefMX63awe7trbgwf3Xv07JsLLktbQknj4Zrb2Xx+h4EgGCINh1tUmnT77buYPmfDdETTnH0UGsAHXJSX6L5vstmt+Q3pWpIwEA4EsGYYhy4nJrLJ+msjrqgPwgOP9KF6uOKuuYYelVNp6ZG84Hv4ouySj5X0bhC4TF1Yy43BrNCyEe74pLaxiCrjSTVVdXz5w509HRMTQ0NDQ0NDExkcfj8fl8AwODkydP6uvrGxkZ4aihq6tramrKF6mNeBSS7xrQwSyIHxyGeAxGmuWFoLUrI7Zuityt1ZidRbt9K0H/WDvDpuqTk97t3F6XmEAQRF1C/Lud2+uTu3AJsJbS0pjDB2MO7o/TORy6US1q3574Y3oR27eSY9k6VO7rE7FZk56VRRBEmY93+BbNxqws8lF2TXX88aORe3ZF7d0Vr3+MXVfX+bIBAMCXC8IQIHh8AVdkcJlQKBQIhFeep//lFMvnC4QSXWjF1hcTlFK53zayRaQmpprO3n45TP1c0GpTf2WzwB2Xw+qbu9CRtrCwcPHixSUlJaILGxoaVFVVS0pKqqurN23axOPx0tPTV65cWdf2+VsoFHK4AoHE08FhiFNTTbY08VpaOtm7hdvQELpR7c10hSSj0zTnu8FrV5e+etVOp2MunZ5y1jR8i2bR0yfhWzalnDXl0rs2QWJ9cpLfot8DVi4v9/GO2LrJa+av5OiwzuA1N5NVVgRBtJSVCf5u2uOz2cnGhhFbNrHev2dWVoRv1kg5Y/q/i8gKhaz3VQLu/+qQ+C0tLOj9AwD4F4EwBIib3jmXRJq0HgYX7LIO32QZomYRtONKmK9Ebxux9cWwufwGBkc0c3B4gtTC+oDkii2Xwqyepm2yDCErjTojLi5u2bJljSIDpgiCqKqqUlVVLS8vr62t1dTUrKurO378+IsXL9rZT9F7xgG7SFq5+PxDQcHBVeXlqSaGKWZnCKGQx2TG6elmXLbqsGDcxsZUszORu7RSzM/6L1/mu+D3kpeenXlGCSdPvPl1SuLJE51ZWVRLaUnMwf2xOofjTxwNUV0fc+hA4umTkXt21qf8r3pJMrl2nlAgqI6MZBQV4bvNBQU1UZG4A7WAx0syNkg+aywUCPgsVvyxv9IvWn7MsQAAoFeBMERpAiHRwuadf5yifyeOrMtJLmp+HFG2zy5KwzL0fmjpo7BiJ58cftvrdxKTRxywi7wfRNtxJTwqq7rzY/tTU1MXLVr0119/HT9+/MiRI/Hx8Xi5trZ2Tk5OYWGhrq7uy5cv9+zZ4+vru2/fvuvXr7dydA4vpaBe1SIoLrdGbI6lkNDQppYWVlpq5GaN9Ivnk02M4nZpcQoKOyxY2aMHMVs2NefmFj68H7FmVfjqFekWZrzm5va3akhLjdu7O27H1rh9uxtSUzr5ImDZ5mdTdI8QHE75k8chSxflnDPPtroQrLw26bQ+q7Iy55p1XWBAl3bYeS2pKVFbNdMunEsxNY7duZ3zQZdgAwCA3qkHwlBNTU1MTEws6D7xcXGpyQkJ8XFd3Cr64oOo7Vci1CyCVMyDtl6OuPkiOj4uOj0lsSA7Wd8pdMeloLzMFOeX75TP+L2LjktLirX85/pOL6Li46LbP0pqUkJiQnx8bIx3cPTWS2FbrELXmAZstgrTcXj3Ljq2MyWOiory8/N79uzZs2fP9PX1f/zxxwcPHiQlJR09elRDQ0NVVVVXV1dDQ0NPT2/FihVnzpxZtGiRpaVlfHw83jwuNsYrKGbXtYjtl8Pwof9yfBclcugHDx4EBQXFZ2SE377lO3+O79JF7549jU9P77BggY8eBj95knr7ltfSxa/MzV6cs3ixfGms/vHEyMiYuFaeWUxcXIq3d4jy2uc7d4T4+j3fuSNEeW2Kt3erK8fFxcWSy/HtmBi/27fD3ryJT0oKdnf3vnbN7+7dF/u1A9esTLCyTLYwf7Foga+TU2xre/t48RkZ4Xfv+M6f57t44Tt39868Pu0RfXb4yYJ/u+jo6CyRDmoA9Co9EIYaGhoyMjIyQVfk5WaXFuZlZ2VJPpSVlRkWlbjV9JGnf1Rrj7cpKzMjID7/RVSpzo2YPTbvnkaURCTlZWdmWLv5bzZ+oHbWe5Whz3r9e+sNn60x8V15zM385pvwlELPf6xPy85s81+ZlZWZlp6hff7pjSfB2VkZyenZb2JLb/vlqZgF3vbLC0gsS+9kObOy8vLyaDQajUYrLi7W0tJat25dTk4OjUbz8vLy9fW9cOHC9u3b7927p6GhUVxcfPny5bVr12ZnZ5NPMzE12zO6xNE7W9ks0O51tldMcUbG/79S7u7usQkJqXFxr3dqhW/WCNFQf3PkUFpqascFy8vLptFynz0tfvM6r7Awp7i4OCoqz9UlJy0to7X/REZWVm54WIGrS2FubmZ+fmFeXoGrS254eKsrZ+flZefn/+92fn52bl5mVlZuSUluSQl+lFZRkVNSUlRYmGl95fXC34NV15fFxmbT8jv3onZRVlZybOzr3TvDN2mEaKi/OXQgLSUlsytvNvH95ebmFBRkZmVlZmZm02jZNFpml9674AuUnp5e9HcjLAC9DTSTfRkqG3kBKdVtNSzVNvM1LkaklXTQQNOWKx7pRiLTNL9Nrj77OGOPTZT6ueBTrimHbsSuPROgaBhw9//Ye++4ptZ8/3efM/e8fueembOnnDn39Zu558zs35Q7c3bfo263vYL0Kr0jiAVRwC5I7yAgKqIg2AEVUHp6g4QQegIEEgihhBDSe1vP/WNpDFVUdpnZef+VtdaTZz0rgazP+lYUZ9nxq3P4WkcNZdq0OT2v9EzHljQNj8++42rj4uJ8fHzM9/j6+nZ2dra1tR09ehQA8OTJk5CQkKVvHJuVe6RjmVPSRftxRKJQIGBlppN9feSccfFAP9HNaexm8bstb73g1dXIel5GAokIeAESAQDgN9ZLqB3wTnF7mwCJAEaIkZuF3Leb4OkuGVhrTtk7wMxIa/fxko+Niel0kpvz2I1r7zObmNzGb2qAX2vG2FOVj8B7VHe0YMGChffEIob+PsD08dxS0HL14jCdOak6/l537O0OpyTUsevkjOo358wvhS9WzwiVi3bmPB04VdIxI1SFF5J2n2t2SkIdv0HJqOpT6wzLjl+EwQjl1dDPlnW6paIPFbRdKKdNvqoBzRerA/MI99BrDTrh8XjGV3dKLpe7devWx48fm44WFhZGRkYCALq7uz09PQ0GQ1ZWVkxMzNJ5jEZobFa+9PNBYzCzMzO8xgZTkrmwkzqDRLxP8eX3BDIa6bnZaAcbYXcXH49D7t/LriiHIGj4ehHK1lrQQZlrb0PbWg8W5PclJ+E93AVU6lBhAdr+wFx727exHqNON1VfLxkchDeFNNpMayv0Hg3mJhvrEXt3TdQ8k42OErw9us6ctpRktGDBwveIRQz90OHw5Y9x7Izq/oNp2NstTMLArPlRoUxTUMtIfNDjnIw+W0a72TS8tJf7u9HNmm8fnJMqtTcahjKq+l2SMefu0G42DqvXNr/BCJW2MtOr+jzSsSeKKbnP6LMiFQAA0T1d284JyMVfKO+qIozxxW++Bd69e9fHx+f8+fPnz5/39PS8f/++6dD4+LiNjU1fXx8AQKvVXrx40cvLy8XFpX9h3R2JUvcQy55coSMHCoXi//ASxQ0azVBhPtbZHuvswL5bYTKcMIuvm3ZqxeKB1BQhrRMAYNTrhgquTD5//r2u+i2YaqjHujphnR16L8frpIvNdRYsWLDwXWIRQz902gfngnIJ/tl4x0SUTxa+oI6xdMyUQOmYiKSOfFudLqaFSqdE1DvMbzBCIfnEh9jXf1qX73cH5RGdk9BeGbiQfCJrRiaUaegc8SqFi5RKZVdXF4VCoVAo8F+pVg/1j4skCq1cLp+cnDSN1Ov1XV1dU1OLawHMSzWOiUja6PLr/5Yatb4/M8jWlp1bEXt38Ql4eI+or2/k5g20rRXa7sDEs6eSocHv0Xz1nijGOThX56bNG8Ye3n/zaAsWLFj4NrGIoR86OoNRpTXUkSdck9FsnmxZw49So8f184Syb6sluOo95g+5QqzEv25xpdLoJQpdYC7xesOQVmcEAKC6p32zcG9l0BJINW6paNrom7t9SZXacuRIQR3DNQWd/Kj3IYa99EQ/TDE03dKMsbcduXWzLyWpdff2ubY2zRyf4O3R+LcvhgryGXm5L774pOfSxe97me+IhE4neHn0XY4fr3qMcbBl379rqv1owYIFC989FjH09wGDK77RMPS2pX3WyPCkZF062JsDQYAxIe4Yngu5QiyoG+xmzSvNAp7uIEdIDL5EoaWNCm41M30ycfUd3JEpKQCgc0QwLVTOSzWU4bml8T0anaGXLUR0T3ukYSrxY4wJsWHVyJU5iTrmNvVIUbtjIio4j3ixokuxJO5qvcQQZDTOIBFixsseJqKeHh4GvUo1anPmOzvn2kjwa9X09MST6q4zsSPFNwAABpWqN/4SxsmOEhFG8vGiHDlMjTxGPX6MFOg3VJC/9tZmq6OTySaf12kEL41nM8hWCWMZG+R6wSor7TpzGu6nxqmupEZFvn8jWwsWLFh4Zyxi6B8WgxESyTXaNdQ2zKoeOHeHtpY5IQiI5VrVGmK09QYo6ibFLRXtkIhyScF4pmNHpxfHhcCNXf2y8bbxyK+j66/UMgAAQXnEZtpU1+j8wTTM0layPJHKPwfvkYa1T0DaxiOC8giwuIHLXivU+kXFryEI6A0QmydzSEBi+3mG5XqiraMYGshIw7o4SpnDEgYd42A7mJ+3ihjSCASKiZcJepzqSqTV3lkCXjXLaw8J6ow+pZ7lmUYqOByMnU3T5o3c2mfzVCpiz07E3l0CChlaP2uKViRsCw7oPHVCKxZx62qRVns5T6qU3AnTANnoiO5N9STXjl6hMI+Y1orfoiK5BQsWLKw737MYam5uzs/Pz87Ozs7Ovn37tilpqKGhITs7u6Gh4R3mlMlkRUVF2dnZqzRnIBKJ8EmXxpcAAJqamsxPzWKx4MEEAuEd1vN9IZRpQq4QO1ftEj88KcH0zpwt6zx+nYLuneGuEGJsAoKgyBvkOvLE6sMAABAEuALF0KTENxtf9GJwfFauXRIVJFXqhiYll+/3WF9qdUpCZT7pb6ByA3LwmdX9V58PemXgatsn+sYW9BrT6Y0cvpw2Ou+ThbO7jLhe/zL/q43BP1lCuYdmRd2kqHSLJYJWb6xAjk7MrRxAvU5uMp1M1p+aQvD2IHh7MLIzDcrVcu6mmpuwLo5w01ZW+R3k/j0Ebw9SgC8t5pSK91oJqWd5naeiqFGRAxlpbUH+bSGBvZfjuy+eawsNko+t5/+sYnyMciS8LcAP7+E+1dgg7OnGuTrNIFsBAJMv6nCuTuJv01ZkwYIFC98j37MY2rNnj4ODQ21tbW1t7alTp1xdXYVCIYfDiY+Pr66u3r59e0dHx1tNOD8/7+vrm5CQUFtbGxISkpubu3TM48ePnZycamtrS0pKXF1dmUym+dH+/v6f/exn1tbW8CYej7e3t793715tba2Xl9fdu3ff+WLNUaj10/PKZQ0V74/BCM1LNYwJsWc6tok6OS/TLO1OClPcOOSWinFJRjsnoZ2TUC86uAAACIAZkUqiWGyVEco0U/OK4DziHcSIQKLWry2zOulhD6J7Bl7V1LxykadPJNceKiB5Z+IcElH2CUi7ywiHRJRtPMI2HuGQgHJJxqRVLtOwYnxWdqiA5JKMvt3CnBWr+GJVHXki5Aox99lAaD6JNSOTKnWmwXK1nidasY08eFsxBEGSwUFTr1M1ny9h0M27dM13dLTu2Nq6e4foTa029HL5QGY60d+bnpXeFug/UlJC8HRv2vAlt67G7GzQQEYawdtTL5cbtVpKRBj6gLV6lmfQaKhRkb3xl9bROAQAGC273fDFp21B/ga1GoKgkVsleHcXemYawdN97MEDo1Yr6ul5Y78RCxYsWPi743sWQ46OjmlpafBro9G4ffv28vJyg+GlF+bo0aM1NTUrv3sZ8vPzDx48CL/mcDhff/11V1eX+QCxWLxr166mpiZ488KFC+Hh4SaLlFQqtbKycnd3j4iIAADo9XpnZ+cbN27AR+l0+p49e8bHx9/hSheB7ecF5RFlKt2bh749cxJ18BWiVwbWPgHplooJLyRJlygbGLFCOytWxd/rjrpJmZ5XmsJ6jl8nP8aNmY/UG4ynSjo80rEOCSj3VKx3Jo41s7jj6eqIFVq/bDxloaVKb4DmJOpettAzA1fbPjE8KfHNxt9sGq7Ej7mlYHrHhCL5Miu/dLfLIx3rlIhyT8V6pmO9MnEe6VibeIRtPMIxEeWcjDbPuUP1zgRfIS4t0fR6wNuIIcho7E9NbgvyVwvmtEIhOTS4NyEegv9iIUhI6yR4uA+kp/anJuO9PUT9favHDEEGAzk8tPFvn/clXu46e7rrdMzwtSKsi+N0S7MpTYx5/Rrew005NWXUaqknjlMjj8GRPTqJRDExYdRqdbK3+yJWuq7xqsdYF6eRkpsdRyNoZ2I0QiEAoOvs6Reff9x94RwAgFV2G+fmIl+Pv38TRo0GjhyC0UokkGF9akNYsGDBwtr5/sVQYmKiaXP//v2mLpuPHz8+cuSIQrHAtdHf31+3EDqdbj4gICAgIyPDtOnl5VVQUGA+gEajffPNN7Ovnuzb2tq2bdsmFL70xRw6dOjUqVMPHjzw9fUFAKjV6t27d6PRaNPbfXx8zCv+vQNytY7Dlz/Gs32z8L1jwjnJ+teaU2sNJAa/pm3CLQVT3DjcPjS31EVlThV+vLRlBH49I1SyebJDBaRrL4Y4fLmpqhAEgY5hQWvXtE8WPr2qHz8wu0jJPcKx82uXd6MYjBB3TtHFmvdMx9a0TUwKFItMYlPzSudkVAdzDgCQ83SAyhQwp6Qpj3tXEotdo/ME+mxoPin+fjeyZwbbx7vRMOyXjY8qprimoKuJ48OTEvDqo36IZflm43vYK37Ub+smU05PUaOOdxyLoJ443nE0QsHlvrxMtbrnwrne+EvAaIT0+u7zZ/sSLxs1KwY4G/V69r0KgpcH7XQM6sD+tqAArUgMABi+XkSJCDcFFGslkp74S22hQV1nYsjhh0R9fb2J8cOvCkD3XDo/fG2ZxrRvi3JykhToz6mqBAB0nz/btHnDVGMjD43COtljnewJvl7d504TvA5Ot7aubzL/LAHfHhYiZ7EAALM4LDksRGYJXrRgwcJ3zvcshpycnGJiYmZmZkQi0YMHD7Zt2wY7rQgEQlRUlGzJIy8KhcpaCAaDMR01Go379u27ffu2aU9YWNjJkyfNZ6itrf3mm2/kr0z9g4ODn332Gdw+sKSkZNOmTVKptLy83MPDAwBgMBj27dtnklM8Hm/jxo03b95c9lr0en11dfXt27fHxsaWHQCD6+c5J6Hc0zAOCSiHBNSybqBVgCCgMxihNeQoieXa4CtE2shbJOlAEIi5TXWFo56TMe6pmEHu4sjWyBvk55SJRe+CIHClhn6qpAO2scGLNPnmBBJNYC7hYBrW/jLSJRkTeoUkNrNUQRDgzil8s3CUYcHaUq9ecqas8y56FH7dPsiPLum4Ukv3TMfyJS+dYtg+nnMSyj0V45CAckhEZVYv363iHWKGJAw6Ys+Olh1bRH295vtV09MG1cuzGxQKkzdtWaYaG1HW+6dbWowa7UBmBtHXWzU9DQCADAblJHfBtDM8rINd44YvZpBIAMB0cyPG0W6k5OZAeire3VX0qmvH+wAZDMpX8XM8FBLn7tIddxHrZN8W6C+kUimHw158/P/RszPf/0SLUM/xO2NOtoeFTDytxnu4Debl6FcNtPpe0CuVmvnXFk01f9aoXbcyFlqRyOR5hCCjanb277d21HcGkUiMjY2dXfj/VVVVdfr06ejoaBrtdTrIjRs3oqKi8PiXlbogCLp169ai0Ij3h8lkxsXFnT59+vTp01FRUSzWWsvrrwsdHR2rnJHL5aalpX2P1UOMRiMOhzNZHN6Zmpqa2NjY6OhoCoVi2nnr1q2oqChzg0VpaSnjnaIbv2cx5OrqunHjxqNHj+7Zs2fnzp0ikQgAQKFQfv/736ekpFRWVi4y/KyOTqfbtGnTrVu3THuCg4ODg4PNxzx48OCLL74wGZwGBwc/+ugjJpPJYDA+++wz2KdWWlrq7e0ND2hpadmwYcONGzfu3buXl5f3l7/8xVxsmTM1NfXLX/7ygw8++NnPfgZLKDKZvMiyBQCYl2q6WPMVKJZDIsohEVnfwV12tpWYFCiO3yAzl2RmLcVohIQyjd7wdmFJ9AkxeWjOP4dwpYYxyBXL1QtsMxAAIrlGtTDupwo/FlZA8s7EuadiQvNJmL4ZpUZ/4gbZlK6v0Rl72UJk97RXBq4CxeobF+lexRvNSdSnSigRV9scE1FBV4jny2lrKR8wJ1WfKCbjB3gmw1Vr15R7KsY3Gw+n0Je2MAEAAqmGNjpf3DjskY5FdE+v5Nd7WzGkmZvrPHmCGnm86+xp6slI5XIx+GtBNjoqaHvZPcOgVvPQqGULMWsl4p64S+2hwV1nYtpCAiXDQwCA6ebGlm3foKz3f0tBzcybxY2b/oZ1chB2d43cvIF1tO+MPYX3dJ9GtKz7uYxaLeXo4YavPhtIT133ydfKQhm+6GFDQGkn+HoJu7oAALMYDMnXWzK4bh/7aFkp5Ug4nE83fP0q9cTxdcza+8dDIpEUFRX98Y9//PDDD80LzRcVFbm5uXV1dSGRSBsbGxKJBAB48eKFl5fX48eP3dzcuFwuAKCmpsbJyUm8huxFDoejXVvdioqKiq1bt1ZWVnZ3d3d3d9+4ceO7FEMGg8HX13eV5J6srKwPPvjg6dOn39mSFjE+Pu7m5ja3hir/09PTSy0gMLdu3XJ2du7o6MBgMLa2trARpKWlxcPDo6qqysXFBRYwDQ0N9vb28+9Up+P7d5MlJSUBANBo9GeffTY9PQ2vqby8vLS0tLi4uGfhU+/Tp08jF2IeVARBkK2tbUlJiWlPWFjY2bNnzWdobGzcunWr6ROn0+mbN2/u7e3dsmVLYGAgh8MZHh5OSkqytbVlsViRiXJlAAAgAElEQVTwP0N/f39xcXFxcTGbzba2tn748OGy16LX65/X1QUEBPznf/7nB6/YtGnTyZMnGxoaBIIFsTJE+uzBdKxXBrZ9kK/RLS9Y7qJGcf2vH30gCNLoDIwJkVsKhjoi0K6tSqFAqi56MTgx93Y/r3H3uk+XUhupk28eCkDbIP92y0jkDUpgHvFa/VA3Szg1r3RPxRDos+aXNidVu6agsX088/dKlbp7aFZBLcMlBZ38qLcSP7bUo2eEoHLkKJE+CwCAIKDRGdg8mXsqpn2Qb3K3DU1KKlCjcCxR4fNBjNlZCPTZE8UUxcoaa+1iSCsSMXKy2g+F0GJOqaan6VnpLdu+6U9KWLavlrC3pzfxsnqODwBQjI/3Xo6TjYys5SzmQBA0XHQV7+4qZ7MNKhXtdExnVKSKx2PkZuPcnHHuLqyK8redc1k084K+pIR5WicAQCsRd546gdizE+fh2hl7Cm1jPfH0iVGvH7lVgnN1kq73U7Wgg0L09cYfdKUcPSwfX82q+u3BrasZzM+DTTKzONxAWop5JJZOKulPSSL6ebMq7hA83YcKC9bRfKUYH28/FEKLjR6+XoR1dphqalpjbap/MFZK8lgElUr19/evr6+3trbu7n7ZLnp+fn7btm0mQVBQUABHjl66dKm4uBgAcOLECThO9ODBg83NzaufgslkhoWFHT58WL2Gfnk9PT2ffvppZ2fn0kMVFRWVlZWmzbt371ZXVwMAioqKhoaGqqqqIiMjcTicQCAoLCycmprKy8uLjIxkMpkQBN27dy8yMjIiIqK+vh5+e3d396NHj/r6+qKioo4fP37lyhWtVmswGBISEn71q1+5urpevHiRx+MtWoNKpXJ2dnZxcfH399ebJVvIZLLz589HRkYeP37c5F2prKw8duxYZGRkTk4OHLnLYrEiIiIiIyOjo6OHh4cBAEqlMi0tbWBgwDR/Wloa3BCpoaEBgUAgEIjIyMjDhw8/efLEaDTy+Xxvb+9f//rXoaGh+fn5K+nL2dnZM2fOHDx4kMtdxjogkUh27NjR2toKbxYXFzs7OwMAkpKSCgsLAQAxMTHPnj0DAHh7ez9/15ZE378Yunz5Mvza39//0KFDq48XCATshSzSgKGhoaYJAQAuLi7mhiIAwMDAwMaNG009HFAo1L59+7hc7qVLl06dOnXy5MmoqKi9e/f++c9/jouLW2SGHRoa2rRpk3n/h2URCoVNTU3R0dGbN282qaJf//rXvr6+d+/epdMHxEp9bHl/UEGHUwreN5sQdZOybHBM+NW22y2vb59cgSKskBSUR3BIQPlk4c+Wda4eCfTyXXMKx0TUwMRb11TMfTYQfYu69vEFdYzz5TSRTBtVTDEtMrqkw1TkUKzQ+mThyMPLPB/MilRuKejOlStKh+YTK5CjAIB5mSaiqC0oj+iQgArKI54po5oXUXxBmfDPwS9KrdcbjEqNfpVf2rWIIThpy6jV9qelIPfvmax/MXS1AO/hzkMiJfSBZe9eigkOKdCvMzpqvptGiQijHAlX8xd7zYw63SqbMBIGQ/7qQVMrFgva2novx+HdXaVDQ3wCDmm9l3Wn7P0dK3qlsjchDu/pzicSus6exjo5TL54TvT3afjys/6kpJcfgtEoIJPXJV7bhIDagbKxHioqVM3Odp2JIfp6KblcAIB5GLVRp/u29cEcuR1td2CoqIBPJGCdHBjZWUurWXbGnKz/7OO+pIR1P7tyegrr7NC44Stu7dvli/wj8ZzCXWSHXhadTgcAEAgE27dvN4khGo22ZcsW0891d3f3li1bZDLZxYsXy8vLAQDR0dHNzc0vXrw4d+7cKpMzmczo6OhNmzYlJibCbp2mpqarC1n0fH7ixImgoKBlZwsNDTUP0ggLC4uNjQUAWFtbOzk51dfXs9lsiUTCYrE+/vjj48eP4/F4Nput1WqTkpICAwNZLBaVSt25cyf8+N3c3PzRRx/l5OSwWCwmk+no6BgfHw8AGBoa2rp16/3795c1ZTU0NOzatauvr2/Lli0mBTMzM+Pk5HTt2jU2mz00NMTj8SAISklJ8fHxYTAYbDYbFmQMBmP37t33799ns9m1tbXbtm2j0Wiw+8WUgSSRSL7++mu4Ek1aWtpf/vKXhw8fstnstra2TZs2PX36VKfTvXjxYvPmze3t7dPT00sDPAQCQWpq6pdffhkVFTUxsXzRlv7+/s2bN5t0Ep1O37Jli1gsTkxMhKNWzp07V1tb29LSsmyL7jXyPYshBwcH+BsFAAwNDf3lL39521z6RdTX19vZ2cF/ExQKZcOGDRwOBwCQlZV17tw5o9Go0Wj8/PxMrq7AwMDz588vmqS8vNzHx2fRTqlUCrcLXenUIrkm88kAc/q1DUapVFIolKtXr1pZWf3iF7+AVdGHH/775i3b93sdj8mpdIpruN7EJo4sNtuUI0fTKvs8M3BHishplX3js3IAgFihrWnjFDcOuySjC+oYzbQ3eGfmpOrr9UNJj3qck1Dn7tCKG4d1KyTDPyNx7qJe23URXdOZ1f3hhSTvTHzSwx7qqpWKTEzMKVgzMrlKV0eeuN3MdE1B5z4baOiY1BuMUqUuv5ae9LDHNRkdW9pZWMdYVAZaZzCOz8pVWoPBCN1sHL58r7sKPw4fuoMYSavs9UzHHr1GzqzuH+SKG6jcstaRg2lYq0utcXe7zWOx5yRqOkf8tgUL0Og3i6HxRw8H0lPgW3LX2dOtu7fjD7pJXnW5XwnN/Dz5cFjrzq2dJ08stSVABgPjSs5o2cs/RWbx9aGrBWuRNeMPH0pfnZqHREy+eL4uUSaQwTCQntq6Yyve1WWeSp149rQtOIDo603y91XxZt5//mUR9faO3b8HSx+tSDRaelvN5wt7u2mno2H/o2SQQYs59Q5GtbdF2NONdXFE7N4+fLVwqfaaIxGJvl5tgf5twQHCnu51PC9kNLIq7uA93El+Pl1nYmBT4o+Q6w1Da6zWAQCYmJgwF0N1dXWbNm0y2ftHRkY+/vhjNptdVlaWlZUFAIiIiKirq/Pz83vy5ElERERgYODo6Kj5hLOzswUFBS4uLikpKeb5wiQS6fFCYAOJCRsbm8zM5WPpTpw4ceHCBdPmyZMn4Zvd7t27AwICzK/lN7/5jemhnclkbtiwwVQA7/Hjx9u2bYMgCIfD/elPfzLJhYqKCjs7OwiCFArF/v37V3KThYSEJCQkAAACAgJMiduZmZmmnGuY0dHRjRs3LupvDacTmTaTkpL8/Pzkcrm1tTUSiYR3SqXS/fv3wzabnJycrVu3msZHRkbC4q+7u3vPnj2LfCMAALFY/ODBAx8fn2PHjpm+ymVpbm7+6quvTFFHHA7nk08+GRoaun//fnJyMniVeB4UFAQbt/z9/Rd9TWvhexZDNjY2Fy++7q907NixHTt2SCSS95kzPz//0KFDaWlp3t7epswvOzu7//mf/4GfKhgMRnBwcFpaWmxsbERExFK73PXr111dXeHXk5OTWVlZaWlpjo6O6enpuuWe3WHmJCqXFDR5cHnPKJfLLS8vDwsL++Mf/2gyF/2vX/y/IeHHntc8hf2DrxfQMHz+Du1gGjYkn3ShgmYe7DIxJz+YhhnkSgAAU/PKps5JtdagUOsbqJOzC6vpjM/KbeIRQXlEl2R05A1KXg19JUtSZlX/2bLXZt5G6mTCgx6/bJxrCuZiRVcFarS1a3qNzeph+GKVZzqmi/Xyb1es0KY87j1T1umUhD52jZxR1S9faAlTqPXYfh6c/3+kqH3Pueakhy8Dk4teDJ67QzuYig3NJ1262wXrQqlSG3yF6JyEMu969kZEcm1Dx+S89HXoK2tGiuqdbWxGCN7kz57vpGKd7Rm52dMtLfiDrog9O7FuTnMUMnyUh0ZNNdQvfZeaz6dEhLfu2EY+Eq6a5QEAIAgaf/xQ9Opuyn1ei7K1Zj+4x75bjraxmm5qXGkBWrGIdbdc8SqwmltbM9+5mt1OKxaxKu68Hl/zjPO0evzRQ4NKDQDQSaWs8jLFwucwg0rdmxCP2LuLcvQw88a11l3b6RlpKh6PfPQwNSpS9x0WiVZOTZIPh1KOHZkl4NqC/GmnY7TvHX35Rua7aDhXZ8SenUsl6TytE21jzbxxXSeVviwy/vY/tcsDQez795D7987icKqZmbaQAGpUpO79fgD/vsD28x5i2VX4sehb1HLkaCVubIL/Zp/+IjFUXV39xRdfmIuhP/zhD319fRMTEwEBAaGhoWfPns3KyoqLizt//vz169dv3boVFBSkUr3+wczLy/vggw9McmHt7N2798qVK8seWkkMOTg4mAeeslisr7/+2nQtz549+93vfpeampqWlpaWlubl5fXpp59CEIRCoQ4cOGBK/Xn48OH27ds1Go1MJtu7d695BLGJsbGxjz/+GIPB6HS6kpKSLVu2wI4/Hx8f84UBABoaGv72t7+ZR7hqNJqvv/7aPHUahUJt2rSJzWbb2dktK4YyMzPDw8NN46OjowMDAwEAnZ2du3btWnSPAwC0tLR88MEHhw4dMv8iluX58+effPKJuRj64x//SKVSp6eng4KCwsLCYmJirly5cuHChbi4uPz8/PLycj8/v6UBu6vzPYuhkZER8xrQIpGoo6PjjR/NGyGRSI2NjYODg6Y9HA7HPMlLIBA0NjY2NzcvK274fL4pAk4kEjU3Nzc2Ni7rFX45Rq5JetRzpqzTKQl1/Do5o6p/lQiV2dlZLBYbFxe3adOmn3/4U1gV/fa3v7W3ty8pKWEwGMpXJoSIa5SS5sUPxBqdgTUjg2087YN8lxSURmeQKnUOiche9oIbhkypCyskVeLHAnMJPezl7yWN1MkzZZ0BOQSfTPzpUiocl/OCwr1YQfPOxLmnYjOr+8/d6Qy5QnqrRqo6vZE9I1tk/uGJVI6JKGz/Yq82AEAo0zglIqNvdcTf63JJRtvFIzzSsKdKOggDPACAEYKC8oi3W16HqlyrHwzJJ7qmoMMK2i6U0+CmZm9knC+3T0CaD66nTAQXUOobmxXSN99rxfQBrLND686t5EOhAjK5NyEOsXsHv43EJ+KR+/ew7pQtGi8fY5P8fWix0QJyO8Hbg+jnLRsdHb19C3Vgv4BMNg2bbm5C7N2F3L+bt9zPmQmdVEo9cZxyNELBnRh7cA9tbzP3Kvh6WbRiMTkivD0sRDnJZd+rQNsdGL1ThvdwG8hIVc3O9sZdxLu7yM3+I/Ryee/lOKT1Ppy7CynQD2W1t3XHNvbdCgCAamZ6sq52fas7vhGdTEY5erjpm43d585+Bz1c+QQ8ysaaef3aXBsJ6+wwkJFmXj1cOjLCffoUVkgGtZpTVal8k6/8LU6Nx89iXwZtKDiciSfVhvf+Afw7YnhKQhmeozIFl+/3YPp4VKZgUUPovLy8jz766KOPPnJzczO5gRaJIQwGs3XrVjj/BgAwODi4cePGkZERAACHw0EgEHQ63c3Nrb+/PygoCE5etrKyMr/lSSQSFArl7Oy8d+/emzdvmjxuN2/eDF+ISQfAeHl5mT/Pm3PixIlLly6ZNmNiYmAx5OLiYi4yRkdHd+7cOfTK1vvgwYM//OEPtbW1jY2NjY2NKBQKPtTc3GxlZSV9lWNx//79N4qh0tLSjz766NChQ+Hh4f7+/r/5zW+wWCy8gEXuwqdPn37++efm6kGpVH755ZdPnjwx7cHhcF988cXw8LCdnZ3pdDKZzNra2iSGQkNDTeNPnjwJOxBXEkNqtZpKpQYGBh44cCAhIWGRrc4cEom0efNmk/2exWJt2rQJThnjcrmtra1DQ0Nubm69vb0hISEcDkehUFhZWb2tccjSm2wdECu0V2rpCQ96XJLRMbepRS+G1tK9CwDQ3d1dVFTk5eX185//3GQu2r59e1JiAgqJqCOODE8vr21nRKpqwviVGrpbKuZGw9C1+kG3VEx+LaOxc9IIQWqt4Tl5ogI56pWBi7/XfeRa+5RgmXjPRio39XFf1pOB0HySXw4h6WFPx7AAAIDons6o6j96jWwbj3BIRB5MwwTlEiqQo+Sh9zLgq7T6FxTu1PyClcjVujryRDly1C0VYxOPsLuMcE5G219G+mXj0yr7Ol556Fq7p+kTry0TxY3DDgko60utIfmk1Md9bN4bHiVFcu2zNk5J07BbCuZWE5NInx2Zlj4hjqc87vXLJV0qbsJ0jb9x/TwMCufqhNi1o+fSBQDbUS7HoWytcC6O7IqKpePnqdS+hHi4XJCczWoLCUTbHcA62fMJBACAuK9vpOSmXqEYf/QAbXsAbW8zXvkIfqN6jj90tVDOGQcAGHW6kVs3hV00vUIxkJ6KdXUi+nrh3JzIh0LgYOdVUM/N0WJO4Vyd8Afd4NutZJBBCvDDuTm3hwbLFya8qHi8/qSE+c5OVnkZ1sURdWD/yM1iOIZJKxaPlBSbr0dAIS93wvVEPj7WHhqMst5HjTquWrVCwbrAqa4aKnxpEOKTiP3JiVrROrcutrA6V18MLmt+RiKRFy5cuHDhQnFxsSkEeJEYYrPZmzZtMt1NW1padu3aZZ6XlJ6enpSUBEGQh4cHj8cTCoUHDhwYWc732tra6u/v//nnn9+4cQOCIK1Wq1qIfqE0v3r16ldffWVczk997NgxczdTcHBwXFwcAMDZ2dk8C2d0dHTHjh2mbHACgfDJJ59IlySWNjY2riSGdu/ebaodYEKn0+3bt6+qqkqj0ahUKp1Od+HCBdhUA+f/mw/u6Oj4+uuvzT1ZEATZ2dnl5+eb9ty/f9/a2npubm7v3r2mdlVSqXTTpk2wQFxJDHV0dOzatWuVUITu7u7IyMg///nPKSkpSy8cAMDlcjdt2mRKLcfhcDt27BCZ/YdeuXLl4sWLEAR5enpOTEzIZDIbG5u3TbC3iKF1Y1akckpCkRjvohimpqaeP38eFhb22WefmVTRp3/9U0R46NOnT5cq3M4RQWAuwT+HYH8Z6ZKMdkvFOCaivDPxsbepBgMkVmiPXmsPzCXaJ6D8sgmX7nYpl6u/fPgqqRw5CgDIfjJwunTxnfV6w9C+Cy2xt6khV0gOCSivDFzRi8GlkyxFKNMMcSUrxSctgi9WHSlqD8wlOCSgwq+2nynt9M3GW11sib7VwZqRrRT9o1DrAnIIu842X29Yk/Yfn5UfKiDBZ9l7vuVMaSeyezooj+iThXdKQjtebip6/oYKDlNNDcj9e8Ye3BfSaLiDLgMZaTqZjH3vLurAPoyDzXxHx3wndZkce7PQE0ZedtPmjYj9ezhPqiUMOsHLozfu4nDRVbTdgVkcZgaJQFrvY1XcgfQGrUhEOXq4/VCwbHR0qPAK2tZa1Ntj1Gj6khMxDrYoGyuMvQ0pwE+4sLT6sjCLrzdu+JLk7wNrMshgoMWcavjy8564ZZ5lX0oBIgGxdxdy3+458kvLk1Ys6jh+pC0kUDoyMlRYgLaxnl/ZSrouSIeG8G4uvXGXZCMj1KjItqAA5dS6WWKWZ1FqvaXSz3dOM21KsXKZ+EVwOJxvvvnG1F3AYDCcOHEiNfVlaQZ3d/eUlBTT4J6eHjs7O/hmHBQUhMfj+/v7ra2tRSvrXRKJlJubuxYfhUgk2r17d0REhNLMlAhro/z8/E2bNsFpWaOjo7/97W9hMWRvb3///n3T4JGRkS1btpju9DqdzsnJyVyswGaqxsbGPXv2mLTC3bt3v/nmG6VSCVfXM8+hhsFisRs2bDBPaO/p6fniiy9mZmba29s///xzk1bQarUKhcLW1tb0oUEQZDQaKysrt2zZAmeoiUSiXbt23bx5E4IgR0fH6OhoeOTDhw9/+tOfwgantLQ081jyyMhIPz8/AMD09PTnn3/e9abfKwaDkZGRsWx+ktFojI2NhT89AIC3t7fpNQCATqfb2NjALqbQ0FAEAsFkMvfv37+WZH5zLGJo3VBrDZi+mfesKK1SqVAoVFpa2p49e/7pn/4JVkX//u//7ujomJmZ2dPTYzIUGwBopk05JaEGOKIettAhEYXunYGL9BghSKHWM6ekTomoZtrU0lyqF5SJ0hamfzY+5ja1DDHS2jVFW5LJNcgVtw3ylRr9EyLHPQ0zzper12buau2e9svGq9ZQLggAYDRCCrWeMSF2TESi+3hytZ7KFJCH5m43MwNzCeYtxmCkSt09FCv7Sb9LMtrqUuvhq+2lrcxF1qZlUWr0Q1wx3MTjWRsHAKDWGh5gWAF57Q+eNs3w3iBhJ549Zb9KYp+ndjCvFY3eLmneupl8OGwgIx3jZI+2PWDu/DLHoFYPFeTj3Fym6l90X7qAtN6HcbAZSE/VK5WsO2UzrS8r98y0trLKSo06PQBAr1TSTsegba0JXh5wTUWjTscsvoG03odxsEVZ7ycfPrSoMOPiD1anY968gXN2nHhSTYuNJh8+JOzp7om72BYUyK2rJfp59ybEL41NmcVisI52w9eLhq9dxTjZ8wl4OPtDJ5Z0nT2NtrUmeB1clxqPqyOh0wdzc+C0Na1YzMjO/A4CqC38HcHlcq2srHp7X5c85fF4cDrwoUOH4uPjTVnGBoMhKiqqqKgI3kShULa2tg4ODvfu3VuvxUxMTISHh7u6ukZHR0dHRyckJMDRLUKhMDIy0tfXNzo6Oi8v7+jRo3CotZeXV1VVlentcMWWIbNsjLGxscOHD4eGhkZHR4eHh8MxwigUysnJyWTuevz4sZWVFezYevHixfbt22NjY83rG508efLIkSPm69TpdI6OjvBH8ejRI3jBx48fh7P3GQxGUFDQ8ePHo6Ojk5OT4RvN3bt3fXx8oqOj/fz8rl69CkeV9Pb2urq6njx58syZM9evX3d3d4e9ZvA1mk539uzZw4cPw6+zs7P379+flpa2rOFnLczNzZ0+ffrEiROHDx++ePGiSehAEBQbG2tqQorH4+3s7BwcHMrKFsctvBGLGPqhYtSPsdnFxcWenp6///3vYVX0k5/85NNPPz1//nxra+scn8eTQncwXACA1gAKnw/CwcUmZCpd4XPG6HLlGTOr+w9fbXNNwfhk4SNvkLkrtHOH6RsTXa8fWkvM0LxM082av93C9M3C4/p5Y7OvzdRzEjWVKVhpEolCW1DHgL1dOr2RNSOtwo95ZuDQvTOLKiXOSdSnSjp8s3D2l5H2l5EH07DhhW2MidVie2fFKtrovMEItTFmg/IILsnoa/VDfWMijc7QzZovRbAamltFwjVlzJkwqNUDaandF893RB7tiDyKtjswkJJiXKEqiXyMTQ4LncXh1Dze6O0StK116+4djNxsPokIAABG43Rz8wwKIex6WTZXNTPNw2IYOdnNmze2BftrBHMAANXMTOfJE0QfT9SB/Th3Z6KfzyrR1gAA5eQk+XDYVGMjAEA9x6fFRvclJXQcOyIZHAQACLu7yKHBi2xLBrW6L+EyIzcH3qRnZfYnJxk1LwM4BnOzmzZvaAvy17zl89bbIqBSBK9SShVc7gwSsWzFAQs/ZgwGg1AoXOSx0ul0dDrdPFQUAABBEJ/PN5hVapicnPw2bnZMJpNOp9PpdBaLZX664eFhOp0OqxY4/FksFptXMFr2WgAAg4OD8OXAwk6r1YpEIlNqulqtFgqFps3JyUkGg2Ee9DM/P780glgqlZrsYVNTU3Q6ncFgmEpQqtVqBoNBp9PhFGzTzIv2wBcCvxcAoFKpNBoNAEChUJhrHZlMZp4LxWKxRkZGll7m2jEYDAwGY9H3CwDg8/nm005NTb1b0UuLGPohYoSAQvPamDM5OVlfX3/27Nm//vWv//zP/wwLoz/84Q9+vj6VD+9yOBydbk2VUk3oDEa1zhCaT7r6fHBeplFqFmsUqVK3xrAnc1A9M05JKPdUjH0CyiERlfXkdaImvp/nkYaRKXUAAGjV+YkMvnPyy0kcE1HJjxb0u4AA0BmMg1yxUxJq19mmq88HNTrj6qn0iJ5p3yycXK27fL/HPwfvlIRyScYcTMMyp17+oy5NrdeKxQqzf34Za3RpWUXYrELPzmz44lPK0Qj9ypkLEATBASgjpbfqP/+4+9yZ0dLbTZs3kPy8VbwZRnYm0ddr8Eou2t5mro2knpvrOBbRuOFLorfnDKK160wsMdBXPj5m1On6LsfhD7pNNzf1JsRhXZ3Fr6qGrIR51IteodBJJDqpzOyoeGlLVK34dZ9Uo14PX6NeqRzITMe7uUy3tnSdO0MK8JG9Cs4wqNUys98dBYejee+0r7H795DWewUdZNXsbFtwQOepqKUlfyxYsGBhfbGIoR8iPJEy+Aqxn7PYpa3RaKhUakpKioODw7/927/Bquhf/uVfdu3alZWVhcVi11Iy1UQdeaJ9kH+6tPMFZbHDJfoW9Qlx/G2XLVVq2TzZHcSoRzq2gyngiVQAgDmJGj/Au9k47JWBe0HhwhIk9ja1irB8VrxMpWPzZA8xbLdUTAdzblFqCYxSrS9Hjt5oGKKOrGbRmRWr8AO8a/WDPpm4+o5JZM/08KTEL5tQWMdg82Qmr9/Soot8IgHr6jjXRgIAcKor8QfdZKPLuGnGHj3Au7sy8nJJ/j5DRYX6N0UYTDx72nE0oj0spONYBPlwGNHXmxTg1xboLx4YABA0WnYb7+HWFhLYcewILSZ6vqMDAKARCGinY2ZaW9Vzc7TY6FkcDgCgFYm6L56frKtb/XTrhWKCQz1xfI5EBABo5ue7TsdMvaqKq+Bw8F4H2ffvAgCEnVSsq9MMCvGepzPq9SO3buI93NoC/Wgxp1RLiupasGDBwrpjEUM/LAxGSCjT9I0JD6Zh0L08kVy7UundoaGhyspKPz+/3/3ud6aY688++yw8PLyxsXFqYTAvX6w2xd8o1HqeSGUwQnqDUSjTBOUR7iBHTV3MJAotX6w+VEC61cyck6hnhKq37W7WPjR3sYJmihlqH+R7pGM90rF2l5FOSajL97vnZZrwQlJx4/C8TLNSnHXX6PzZO5h7WPUAACAASURBVLQZoXJeqnmD5QcAkVwjkC6jAnH9PLdUjEca1iEB5ZKCufpiEACQ+LCntWvBh7NUDOmVysGCKwRvT0ZeDt7ddbzy8VJPjXigH+fqApcMnmsj4dycZzFo+diYqdu8enZWylwc360YHyd4Hmz+ZiP73t2uc2fqv/h0IDMdPqTi8XCuTo0bvpyoeWYez2vQaOC0dr3CLEJTo/kunUeLT/3KKA3p9RO1z3DuLvScLJK/Lz0rU78efbVUU9NYJ/umjV8uW73JggULFtYdixj6YTE1rwzIJXhnYO0TkO6pmGPXyW9sXCqXy+vr6y9cuLB9+3aTKvrlL3/p6+t7/fr1QQYDAuBkac8zysv8ZET3VHhhm1Spu1jR5ZmOdUhEuadifbJwnFk5AOBMWadHOtYxEeWdgfPMwPrn4EXy93JSaHQGgVRzD8VySEBSmYILFTTPDKxjIsotFeOVgR2cWK2+XFPnZFghSaN7Q2pPYR3j8v1lCpgqNXqeSPUQy/ZIxzK4YvEKF7JSO47OUydefPJXRk7Wsu/SK5XSoSHIaIQL0shZLJ1U2peUQD58SCsWa+YFbcGB/SnJ5uJAPcujnjhOjYocKshHWe8j+fuNlNzEe7iP3imVsViUI4c7o08OFRbg3Jx5WPR7NqCAjEbzvhkGlWrZBmrrwnBRYf2n/0M5Ev7moWtAMT5ODgulxUYPFlzBuTnNoFE/zl5dFixY+C6xiKEfFgq1Ht/Pq8KPuSajbzUz2wf5azfMKJXKgYGBoqIiGxub3/zmNy9V0S9+/s3mzZ/tD0q58ZQxyuXJoCdkflA+eYAjae2abqFN++cQ0qv6MX08uCo0ZXgO0T0dXthmn4C0u4zwz8F3jc7z3zVFzghBec/o5+50huQTYd8Ztm8G1TMTmEtMfNiL7p1ZSaAo1LopgeIuajQgl8CYEM8v5ywDAAhlGu6cIvlRT8wt6gRfvjT7DADQOyY8U9p5vpxmChJaBAqF4i8JCubW1RK8DlKjIol+3i8jnZdDTB8gh4WI+/sBABIGgxTgh3d3pcWeop44Ros5JWEwOqOjYOuRWiBoC/QjeHmoBYJ5KhXraN8ZFWlQqXhoVFtIYM/F8x3HIjQCAQBguKiQEhGueafGyybU/FnKsSOTDS8AAGo+vyPy6OSLd+xfuDrz1A6Svw/1xDGCj+d45eP3TEqHG9NSwsO0IiEAYLDgSseRw5aSPxYsWPi2sYihHyKzYlVALn6A8+4NELhc7sOHD49HRv70V781mYv+5ee//Z+tzlt94vfHVrum4u7hJgEAx2901LQvbo93oZxmfanVIQHpmIhyTkYlPHjHbGq1znCkqH376UbrS61OiSinJHTuswEAwKmbFPNOGhAABuOCFn5w1QC3VIxDAsohEZVfu6B8lmn8zcZh5ySUczLaKQntkICsXXIhMLNilXsqum1wgfnHoFLBTR7QGIxAJFJNcAyvAnXnSCTUgf0TT6qNWu1gQR7WxXGpwwsAoJNKVbyZvuQEYoAPt7aGFOjXc/H8DBKB3LcLsXfnPI1m1OlY5XcwTvbjlY+7zp5uDw6Qs9nwqeVstvJVHxjl1JRyctJ0y4f0esUE5z3NIUatdqSkGOviwKmuosWcag8NVqzQBPF9kI+P4dxdBzLSjRrN5IvnqAP7eYj3jRlSz86amm8Y9XrFxMTfr2UI0uvNk++0ItEqgfYWLFj4HrGIoR8iBiMkkKjX0pT+jQyweE8b0H87EPyHjzf86hf//koW/fSjT765kJRDpVJD87DNfQuevKsIY+6paIdElG08cvvpprTKvpHl8vPfeAnJj3sCcwkOCUibeIRtPPJAHMLuMuJ6w9DZsk7y0Jx51SK+RHXyJqV//PUyeCI1dURQWMfwysQhe2bYvMUJ9idvUugc8bRQSWUKzt2hHbtGbmPwZ4SLCw7NSdQxtzuOXmt3TESFXCFdqKCZCrsJOihEfx/FIAPf1d1XVYmzt4HDdwwaTcfRCFrsy6pikE43g2hd1k4zXvWYejJSOTXVc+l88+aNbcGBfUmXCX5e3efOdJ07g3N1YhbfAACMlt5u3vI1wcdT/aZ2sOvO8I1rTRu/Ivp6wYaWdUcrFs20thpepd/z8XjZOyW1/qOi4HLbggMn658DAKTDQ+0hgaayUhYsWPhBYRFDPwouPRysIk7QB/rulJXaO7t9+OEvXoqif/7g//noMze/w62traYSEd3j8nIkO/oW1TER5ZOFowy/XQ0eGKMRVBPHs58OwBFIrinog2kY70xcWesIXKcbNgRBENDqjWyezD0VTaTzdfoFwdLInqmomxRzUQiPH5uVu6eiCQOz8OCbjcMZVX3LLkOq1FUgR6/U0F2SMYkPeh5i2aZaRzqJpC8pgRwcgEy83OLs2J8QT/L3YeTl9iUlkPx8pKtW+YNLGg5fL+qMjqKeON5x9DBy3x6CjycpKKBl51Z6VsZARlrjhi9psdFKLrf7wrnmbd/gDrrO4nF6hZyemcEnLK6dvxYgg4FZfJ1TXQlvjj96MHK7ZBW3lJrPp8VG41ydCV4HeRjUO5zRwnti1GpHy27j3F0GMtNxB127L5zTKxQCcjtcwfz7Xp0FCxZeYxFDPwoUar1JURiMQCCYf1ZT98fNLh/84g8mJ9r//t//Oygo6P79+6MjTABAOWby7N1+/fs5KIwQdKSo3SEB6ZyE8snCOSaiXJPRtvHIgBzC5fvdEADzMs3Ra+0hV4gOCSjfbHzM7Q7zkvw6vVGhXlA+my9WvR6fhY+53aFU69Vaw+oFr2fFatcUNJW5jKqjRke1/O2LgZQkAAAPg27duRV1YL/wVc8jo0G/uFEDnEgFQey7FQQfj8H8PLStdfOWr5nFNwYL8hF7dmKc7NG2ViirffiDbux7dzujIslhoT3xlxD7d+MPupIPHyJ4eYjpK3b/WNAPFYIWlAKCoLFHD5HW+7gv6rg1z1BWeznVVUtngNHMz1Miwshhh5RcLvveXaTVXh4KudLgN2K+KshohIxvXYPqH5sFnw8ELfp8hgrzGzd82bJjC7P4uqCjA+vsQM9ItxRPsmDhB4VFDP146eKoa4mj9idLnEPP7di568MPPzRloh2w3n8o8uzjFxi5bBkHWU0b5x56rd6QIa6ENjrfSJ283TJyIA5xIK7V7jLS6mKrfw5BpzeqtIaaNs6tZqZrCjrn6UBDB9dghGrbOXdRy3cwlqn0r8Zjsp8O1HdwV3cmVhPHH+HGtHpj35hQolx8+5lrI7X5+bS6OZMOBfenJtGiT5H8vLGujh1Rx7l1tXI2u+tsrLlw0czPd188Bzc91SsU7aHBiL27sA72BB/PjuNHpKMjrIpygo8XynofYs9OWuwprVA4du+ucnoaQFBfSmLLts0Ez4OK8fGVVqsRCrsvnuNh0AAAvVLZmxi/NOp5ouYZynov6sC+yfoXq1y4Zn5+9PYt5eTLIgKcqsdzJNIq41dBxZvpOnt6jkIGAGjF4p6L599HV/3joZrldZ07PdfeBgDQSaU9cRfNfWGykRHy4UNtIYF4T3e0nTXKau9gYT60ts59FixY+M6wiKEfL5RhwdCU/FhJ7zMKDwDA4XBu3boVHBz80UcfmcxFf/3rX2NjY6urq2fNOodnPR08W0Z74/y4fh7dLAacJ1I5JKKCrxDtLiNPFFOuNwyZdAxfrPJIx3SxXsblZFX3nymlmt5oMEJN1Mlu1uuonTmJ2iMdQxt9s/8u+VHvpYplsu6nRBp8DRJrf4BTeguLRGJPx7Z+s7Fl+5b+5MS24IDmbzbRTsdQwg91RkWaB/oY1RpGbjbWxXEGiWDkZqOs9iL27sY6OwxfLWgLCiBHhNGzMlEH9qMOWKHtbZDW+wYyUmGbgVYk6jodg9izgxToJx9b8R/NqNUy8nLg+ftTknBuLkttSNzaGqT1PpSNFZwpti5Ih4fYD+7DtgqtWMQqv6OcnjYd1SsU/SlJ+IOuPAy65+J5oo+npVOYOXqlsj89BefuwsOgeuMvETwPmsLtlVNTRB+v7nOndTL5YF5O85avW/fsGL5xDQAgYdDHHz80dTuxYMHC94tFDP14iShqu9XMFMo0UtUCH9PMzAwGg4mNjd2wYcO//uu/wqrov//7v91dXWLisxNLmkJysSFFPUlVw+3Dq6V/RxS1lzQxTZt6g3GMJ+sanbeNQ1CGF6Syw/3IFGp9bfvEuTu0gFy8fzYh8UEPkf5SgTkmIPNq6EvHr3L2J8Tx83do/jl43yz82bLO9qEFwcvtI0KfExXcp08BAJi29pmJCc6DB8zrRRgnO4KnO8nfB7FzW+epE4bl7lVDhfmtu7Yjrfbi3V25z55xKh8TfD1Hb5W0hwS1btuCc3eZaW2drK/HODs0bd08mJ+n4HI7jkVg7G35eFx/ahLWzUnU37902tfzXy1o2boZ7+EmH1tQpBsyGMYePkBZ75988ZxbW4O03suprlzaUuMdEPf3oe0OMPJy1LOz3efOEDwPKriLi5LTM9Obt35N9PNRW0pCLwcjO7Nl62aij5fKrN6pRjA3/uiRQakUdHQQfTzJh8PQDraoA/v7UhKJvl69l+ON+ndv1WTBgoV1xCKGfoxg+maeksaDcgkXyrsaqJPLtryAodFo+fn5bm5uP/3pT03mog//+/M/7fS3PlKA7Vk+WxvVM12OGPHPIZwv73pK4syKX/epUKj1de0TyxaMBgA0UCdTHveGF7bZxCOsLrage2caOrglTcOuyejj1ymlLUy4xYcJgxGqI0+Yp6GZeE7mpjzuDcojBuQQEh/0dL5q3DE1r7yHZqU86jmYQajAcSmjIiwaNS+VAABYZbcx9rZEH09SgB/W2bHjeIS5gQRGr1T2pyahrPe3bNs8kJYC76SeOEby92sPCWrdtb0tJFArFgMAehPjSQF+baGBWGcHopcH3BVVr1AMpKXwkAgAAGQwsB/c56Ffupymm5smap7BA1DW+/Ce7vPUjgUXq9UOFeRzql4GUI89fDBcdHW96lCLenuIft44Nxdy2KGljjydVNpz6QLKei/Rz+uNPdFWx6jTsSrK+EQCvDlZVztR8/R9JvwhoJPJeuMvoaz3EXw8RX29SwdwnlQPFxYYVCpubQ3a3qZl2zcDqcnrUq3bggUL64JFDP0YSXzY459DcE5Ce6RjA3IJ9DUUNOJyuU+fPg0ODv7s009gSfS//q9/+vOf/hgSEvLs2bNFfzxpVf1bYhps4pH+OYTAXMKyYmUVylqZdpcRJ4opSo0h7l63TTzC/jLSIQFlexkxsGQq/xx8JX58xSt90HO+fEFv9uFJyYG41t3nml1TMX45hKJGFpGIn+Pz2TeLsU72o6W38V4Hm7d8zcjL7ToTQwzwlY+/Ns/oZLLuc6cJPp4CCqUvKQGxf/dkQz2nuhK5d3fz1s30zHTWnTKk1R7a2dPcmmckP+/RstKus7GNG77suXTh9QpeBWRDEMQsvoE6sJ9PwM9iMGgbq+Giqz1xF4k+nuL+PmbxDZSN1aK8s0W5Y+9Z4XDBVDodNSqy4cvP+pITFx3SikTUqMi2AD8Jg8G4kot2sJmnUpedZE0nMhoZebloextBB2WquRG5b/f440fvt/bvGa1Y3HkqiuTvI6HThwry0XYHBGTy4kGvwvClzGGsk33Lji3c57Xf9UItWLCwMhYx9GNEodaLFdrQK6SCWoZctSif/Q3I5fK6+uaUlJStW7f85Cf/DAuj//iP/3B1dc3Pyy2vwd5qHipuYXvldBy4jD1V0iGUafQLw0WNEPQYN7bIU2ZifFZ+urQDzsO/+nzwMY7N4cvdUzEXKromBQq4NYdEoS1tHSltYVYgR70zcefKuyqQo3PLWZt62cKu0de+PBJj9lYz8+i1dps4hPWl1pauKa0BoLFY3uQkq/gGH4+Tj40NF11llZdN1tWq5+YYOVkS+mtDiEYgYGRmwKYRvVzelxjfumMrynpfX2LiyK0SvVI59vghwccTbWOFtrEmhwa3hwSSD4dxa2qIfl59yYlLs6kho3G0rBTjYINxsB1/9EgzP8/IyYbrWUMGI6vs9iwGs/av5p2Bu8C2hwZza57hvQ/2p6ea1wZUzUzTM9JNrWqHrxbCIeTvjFGnG75ehLY/gHG0m3jy5L2W/gNAxePRM9LhOCGjTjd87epKAeaivl68h1t/ShLrbjnawZZbV7suXs4fAxqNhsvlmkcuAgCkUumiPUqlUv8tex4nJye5XO7k5KREIoG+23KgRqNxlTPqvsNmhSthXL/HM3OUSqXpwo1Go1Ao5L7CVBHGaDTOzMyYf/sGg0HxNjVOLWLox8sdxAim793jP9RqNYvFunbtmru7+3/913+98qH9009+/vv/s913o2+GT0pDVu3ySWEh+cQK5OtDKq2eyhTATdCoI4ITNylHr5EdElFBeYT7aBYAIDCPALdZhRHKNE5JqNB80rk7NJdktG8W/th18vjsS6cDBIFetnBizux2rjVQmQKxXPsIxw4vbPPJxHukYQ9fbUP3zgAAUEjknOBdaimx7pQ1f7OpZefWqcYGeA+nugrj7IB2sMU42mGdHSkR4fA9cp7WSQ4NFvUsU8ibh0Qi9uxE7N/NJ+AWHRL198E5SgAA9SxvqrHRoHrpJRTSaAJyO/xaOT013dy0bHjTGpnFYcmHQuCw6DkyuT00SLxcVJOot2eObFrP7FRjg2k9b8vki+etO7ehbKzmO9/dyPT3BWQ0DhcVdp8/C39To6W3aTGndJLVevNZgGEymYGBgceOHfPx8Xn48CG8c2RkxM3Nzc7Orry8HN4zMDAQHBy8SB6tIwwG4+TJk+Hh4ceOHQsLCwsODtZ+h/URpFJpXl7eSnd3Mpn81Vdf0Whvzmv59mAwGMXFxes7p1gsDg4O3rhxo/BVVfrGxsYtW7Yce0VLSwsAQKfTxcXFubu7Hz16VCwWAwAMBkN0dHRNTc3az2URQxbWAS6XG5l48782OP/fvzKpog/+8Mc/eXr7lJeXT0xMmAR7JWEiv5bunYmNKqYU1DGmhUoAwJxE7ZKM6h0TAQCMEKQzGBupk64pGA5f/gjHzq+l+2TiTpV0XK8fonPEpa3MzOp+l2T0hYquwjqGWyqmAjWq1S94ZgovJFUgXyf/z0s1LskoOB9NbzCmPO6Lutmh0RkMRgis3Kh1FYxa7WhZaeuOrcPXigbSU1t2bZtqbDDqdNMtLVgne7S9DdrOBm13wLzpOtzPdRE8NArjYMuquDNadhttd2AG0Wp+dKK2Bmm1h4dBa4VCytHDlMPh+le2Jc7TaoyjLZ9EVM/xKUcP///snXdcU2n69pktU3WK09zymd19f7s7TUdnxjIz9kbvvYOA9K7YlS4KKlgAFUHALnY66SGBhBBIQuiEXkJIQnpPnvePAzECCio6zmy+f3GSk+c85wTOubif+77u+p3RL9KHVS2X6z6V5RzOjBGL/nt3qrZsZKKQ8nEuMTiA4O/3HM0lNCpV3+1bCBPD7mtX2zLPIsxNRrGY327DjWdCwec/+po0Gm3XET1PgcfjmZmZXbhwAQDA4XDWr19fVlYGANi1a1d2dnZfX5+dnd3w8DAAwNfX9/Tp07MO2NTUdP369WcN6nR0dPz0008nT57UvtLV1aXRaAQCgUAn4isUCqFNhULB4/EAAH19fc3NzTKZTCqVisViAEBra2tnZycURBkZGaHT6b29vbojAABEIhGdTm9rmyxLFIuzsrJ++umn2travr6+6ZPfu3fvggULjh49On3mbW1t0FAymQwAoFKpmpub6XR6d3e3NpDT29sLvaL9lFwu53K52gPpbkInyGQy6XR6z2R+IZfLDQ8Pt7a2ptPpT7mdCgSCwsLCvrm1BiISicbGxlu2bFm1ahX0FQMAzpw54+7uPmVPFArl6OjI4/EiIiIKCgoAAMXFxZaWluKZ7rpPQi+G9MwPxWTOwSs0lxSEeWSO7fbIv33105///Bakit58801jY+Pjx9MwGOyxm42HrrU6pdb6nq7be6mB3jtOaGM9JPQ5JCMzS9qwdKZarQEAMEYEV1EMiUx1+mFLxDmibSLS80T13kv1hDZWwrXG8GyCRRwi+Gxt/NXGC+XtFMajh0ojg41tGvE+iT16k1bXPsYcl9S1jz0k9tsnI/OqOkkdYxqNBtE4fK/20V/jc4ghGZtN8N/RfCINAKCWyxv3723YEyPncttOn6p2cURZmCKtzNH21sTQIEguKMXigYcPBsvLem7e6L9/V6NWSUeZjIJL1U4O9GMT96/WM6foR1N0vfg0ajWj4BLGwQbv7UEMCdKt8GLhcThPN6yzQ+0OH5SVecf57BeJDM0RjVrdVZiPcbDFe3sQgwNFff1y3njPjWsTD3W1pu/OnfHm5qcPohSJKAcPMPIvQZvNacdaM07qV4v+N9EoleKBAd1XlELhlK41GAzm559/Fk4mm588edLZ2Vmj0Xh5eaHRaACAl5cXnU6n0+nOzs5PXypqa2vbu3fvTz/9lJub+0zzVKlUXl5ewcHB09/av3//vn2PMgIPHjy4d+9eAEBDQ4O7u3tJScnevXt37tzJZDKvXbsWERFx79698PDwo0ePqlQqJBLp5OQUFRXl4OCQlZUFjZCUlJSQkJCenh4VFeXk5BQdHc3hcHp7e21sbP7+97+HhITk5uZOWY1iMpkbN25MSkravHkzW6dxkEQiSUtLc3FxiYqKioyMHB0dHRgYiIyMDAoKioqKSk5Ohi7XpUuXzMzMoqKi3N3dT5w4AWkmOBxuZmam1XloNNrMzEwoFGo0muDg4HPnzsXGxkZFRZmbm58+fVqpVOLx+FWrVn3zzTdRUVFQtGYKSqUyJydn7dq1YWFhY3OLxJNIpDt37lAolE2bNg1M/p4kJibu3Llzyp65ublRUVEAgIsXLyYmJgIAfHx8KisrwbOgF0N65gfoX4jYq9STDzvFauB5AluMJJXeL/Jwc/36P/96A+r+8cc3fvzh++CQEJPAE9n36gAACgACs+u9TuIs4hHrYsrcUyfyhSHvabVGo9FoFEq154nq8+WPqvR7R4XmsTBs0wzx8N25JLskpGU83PQQzDoBgaAMB56tcUxBmcXCbRORAWdqhJKpt8vnEEMAABmbra3kUkkkivFxSLsgTAz7bhf13b6FMNlWsf6XtrOn5VwuLSGu2sWp43x21ZaNlZvW05ITSdGR5T+trHZxEvVN/lOo0ajEU1edZBwO1sGu5PulU8ymB0tL0A42CHMTuOFWtJVFU3KSWi4XDw5o071VUgmXRpuvWjMtci4X62hfsnxpz43rAAAJk4l1darfFSVjs7vyLsK2bR4jTMsdnoZuPEmjUj33Wpue3zoalYqJQmnzzRUCQf/dO+L+x8IGubm5pqam2hBFaWnpxo0bpVJpYGAgJIZ8fX1JJFJoaGhxcTGVSu2aqTve6Ojo7t27169fHxMTA4VhZDLZkSNHAnQIDAykUGaoBAQADA0Nfffdd3D4DD1tIJ2h3dy5c2d4eDgAgE6nL168eO/evbLJ/1IKCws/+eQT7TJfU1PTihUrqFQqNP6KFSugh3dMTMy///1v6HGsUChWr159+fJlAAAGgzExMZkxoHXx4kVzc3OBQGBoaHj//n3t6wkJCTY2NlqBqFAonJycDhw4oPvZ+/fvr169GpIafD5/y5YtJ06cAABUVFSsX79em5EDh8PXr18PaaNt27aZmppCca/W1tavv/66ubkZAJCRkREQEDDjBSwqKtq6deu2bdtQKBT0SmlpacDjaJc7p0Amk9etWzc46VgRGBjo4uKCx+PxeLw2XHTlypXo6GgAwIULF9LT0x8+fBgdHT00NEQikeaexqQXQ3rmk1LSwMFC8q3qbscUzCXkAKVPPMSV3UQ2e+09+/9+dvzgr19qF9EWffyJl5dnZmYWCk++jOqxO4q3SsbtyadUkIekchWxbczrRPW4aCJM8oDQ36gT/lGpNTex3YPsGUKgozzpEFsccZ5ocqhq36V6hUrNEcpIHWOW8YgHhH7muEQ97W7yfGJoOiqZrOXk8e4rl6HNnps3aIkJNb7e1c6OeC8PQRcDAND/4D7Syqxq84aqzetxHm5PL1MXDw3WhQTVhQa3njmFsrEcLCvRLieJBwbw3u4wwy1IMxO40dbBkhIAQO/tWygrC15rq0atpiUl1Ph4z29KinhoqC40uC4kuPXMabSN5WBpMQBA2NNT6++HdXLAOtkz0VPTnvToeToapXKoopxTT1KKhP137wi7pmYZJicnGxoaajerqqq+/PJLgUBw6tSplJQUAoHg6+ubn5/v5+d35swZMzMzc3NzPB6vO8Lly5d/+eWX/fv3sx9vt6yaxpPWzmg02ldffUWbKZFu165duoGK3bt3QyEKOp3+r3/9i0AgaN8qKChYsmSJNtayb98+JycnlUolkUhUKpWNjY2Pjw8AICYmxs/PT/up7du3Q/KloqJi27ZtWnWiRaFQWFtb5+TkAABSUlI8PT2h14VC4Zo1a8rLy7V7UqnUH3/8cehxuxBra+sjR45oN4uKitauXatUKpFI5ObNm7WHQyAQmzdvhiZvbm6uzQ2SSCQbNmy4c+cOAODo0aPQKejS0tJiYWHh6uqKfLwWRK1WT7n4T1ItJBJJVww9fPjwwIED+/fv37t3r7GxcXFxMQCARqO5uLi0t7cHBAQUFBR4e3tfuHDBzc3NysoqMTFxjkuiejGkZz7hiRWhWbWuxzBmsXCHI6h9+WQklbk9o3b7GbLdMaJbCiwm417m2dOmxkZ/Wfw5pIo+WfTh4n8t/fdGr5+8M+ziStzT64gMcRWF6XIM28jgTHck4onlvaNPM2gRShV78kjWCfD9+fX9YyKpXMUXKw4VktsGZlYG8yWGAAC6kRg5lztWW9OwJ6b0x2XU+DgujapRqaQsFt7LHbZ5Q9Wm9ZTYg08frSs3p8bLQzI8qzZb4wAAIABJREFUDABoP5dd4+MtZU7Ms/XMKaS5KcbOGmFiiHawrd3hO1xZIervo6cew3m5Nx7cj7axYpNI83JSj+ZzKRfv5SEZGgIAdJw/V7PdS8ZiAQBa04+XLF9S6++n77el5/kYLCmmJyVIHl8yg0hNTTUxMdFuwmCwpUuXjo+P8/n8iIgIKyuroqIiX1/fmzdvenl5sVise/fuOTs761YVHT16dNmyZeHh4SSdvwiVSlVbW1uhQ2Vl5ZPuAy0tLV9//XVDwwxe9k8SQ42NjWvXrtVNBsrNzbWxsdE+8r28vL7//nt/f/8dO3b4+/sbGRmdPXsWABATE7N7927tp9zd3aHI05PEEJVK/eyzz9LT00tLS+Pi4r744gsoI2dgYOA///mPri4sLS39+uuvofxiCLlcvmLFCijJBoJAIHz55ZdjY2MYDOZJYsjGxubatQk7DIFA8PPPPxcWFoIniCEqlfrdd99BISuhjrEWg8GoeJwZtSaYJoZ0efDgwfLlyxkMhkajyc/Pd3BwSE1NTUtLS0hISEpKys7OlkqlRkZGdXOzAtGLIT3Pg0YDVDMV5KvUmnGRnNrNtYiDV5AHBRKFVK7iieR38b02ici2IbFWLDAY3VeuXAkICPjHPx51//jn/3251dJtg0esxb47lglol+OEjOKpv5awxiGP41iRTAkA0ACgUms0mon5QBPKq+qwS0LaJiEt4uAWsfDr6O7p0SBdniiGNBoZm631CFbLZLInZLyqJBI595EBkmxsTKNWj9XWVG5Yi3N16b52FW1ngzAxHCwtqQsPrdy4DmVlgbQwrdy09undy2UslpQ1YUCgUatFPT3ayFD7+eyylT807N3dkXO+avP62gA/UmR4XXgIl0bDe3uULF/adCRZIRTKuRytPlPL5TLOzI7h0+c/4/ra9PmopNL2rEy0jVX31Su1AX710RHSeZKVev53UAoEg8UPu68UcikzlFteu3Zt27Ztqsmssrt3727dulWmkyF3/fr1oKCg7u5uJycnAACVSjU2Np5SdcXj8dLS0n7++WdPT88HDx4oFAqFQpGXl5esw5EjRzqe0GeGw+H8+OOPt2/P4A4aHR29a9cu7ea+ffu0YmjDhg39Onl+ubm59vb2WjHk6enp5+enUqmgyWh3i4mJ0VVX7u7u0AJQWVmZoaGhYNrtIjY21tjY+NixY8nJyceOHVuxYsWpU6cAACwWa+nSpbpiCIFALFu2TFcMKZXKNWvW5OXlaV/B4XBLly7l8/koFEqrfgAAKBRqy5Yt0Ka1tTW0cgcAEAgEv/zyy5UrVwAAR44c8fX1nfEC3r9/383NbePGjfHx8ZAkwuFwyY/z8OHM/YWeIobkcvn3339fUjJRzKtWq7lcrqWlZU9PT3R0dGlpKQDAxcWlaG7+HXoxpOd5ILSxdubUjQtnjgSMi+TH7zQxRh793Tb1cI/faZLJJ+5o8dcoFY0TT81xLgePqz54YP8X//nujT/+eUIW/fHdz//7k3tY/NUHSO2dQqwA7UOCAnin6zEMoY0FuVEfKCBX05n4ZqZPOg4qp+9hContY4cKG/xP48md7JuY7j159cIn9+5AoVC6NwhdWo8ktaYkAwCAStUcd7jj5PGZz7eOWOfrLWptAQCw0SiSv69iZERApdRt96rb7tUcH0v09qBEhrcdTSH5+TSEBgvpdGZpCWmHT72/r+AJaQpPZ+D6tVoXZ3JoUNOBfbWuTi0JcaLW1obIMJydVY2DXZ2fT42TPf3QAXrc4bZjKQBogFrdnBDXnpY642i8ehLR11vYTAcAsDFokp+PVMdq8inI+vpIfj5sJBIAIB8crPf3G4Ppe7jqeQYUPF7/nSJBVxcAYLiifKymZsoOdDr9l19+0S7uxMTEhISEaN/l8Xg2NjZkMnlkZMTR0REAUF9fb2ZmJp2puHJ8fDwjI2Pz5s2HDx9+1nmGhIRs2bJl+oLL7t27XV1dtZuWlpZQzlBjY+P69et1y6Zyc3Pt7Oy0YigrK2vNmjXTD/QkMQSHwzds2DClPEooFK5atQqn04P59u3bGzZs0Gg0KpXKzMzs/Pnz2rcGBgZWrVo1pfw+JCREN9EnNTXVysoKAIDBYJYtW6ZNysnLy/vuu++goz9JDKWmpk6v89IFysK2srKaYzUZxFPE0MDAwJIlS3TXIpOTkw8dOgQACA8Ph9SVg4PDk2TWFPRiSM+zodZoFEp1Rf2gUwpqYEysfEL/7RljMRK5SqZQSeUqv1O4i5UdCpVarny0384c4t7T93IuXLCzs1v82ScTougNAyjtEYdBPcC1Ox6r9jpVb5WMs0xAHiuiKZTq7Ser7+J779f0bt1f0cjgyBQTeisf1nnocgMAoLJh0OUYepgrUapmjg/BYLDOzk7eTHSWlxWbGBJTkgmJ8SWmxgwEnNXXy+VwoHdZfX3s4WEejzfa3Y0OC610caLl55VamVfH7OKMMLlsNrO9vTpmZ9EPy2rj40a7GKM9PcyOjlEGQyCV8ng8Zkcns6ODy2JpDzfO5Y72dHPZ7Knj677Y388eGhobHOwnEisc7e78tJJ+5cpoN0MgFpNPZdxZvaLY1Ai/f+/9zRsq3ZzpBQWlVubEI0nEpMRiEyMGDD7jabJ6ejCRYRUujrRLeaWW5oT4OOi4szLOZo+0t/OFQvbQEGd0dJTBYA8NccfGRrsZc/m4Hl0kT0gk12g0fD6/v7+fwWAwGAzdtQYWi9Xb2/t8TndKpRIaUDfYIJFIhoeHGZMMDw/PmG+hVqu7u7t1K7G5XC5Dh6GhIT6fP2uuhlqhGK4oF3RO5AlplMrhygr+ZD25lvj4+OjoaAaDAYPB1q5dq12uUqlU+/fvh1aRZDKZt7d3fn7+oUOHoqOjn3JoqVT6pETpp8Bms01NTZ2cnJqbmxkMRldXF1RVDofDlyxZAoPBGAzG/fv3//GPf4SGhgIASCTS8uXLtZXnAICsrCxDQ0PtlyUUCi0sLCIjI6ErBoPBoFW8kJCQoKAg7aesra0DAwMBACMjIz/++GNhYeHg4KB2kPPnz69cuVI3DDY6OrpkyRLIX6eoqOiXX35BIpEMBoNCoQgEgsOHD1taWjY1NUGvyOXyrq6uLVu25OfnMxiM4uLiNWvWQGnp4+Pj69atS0xMZDAYJBLJ0tLy22+/hQ60ZcuWixcvQofj8/nffvstVJ2HRCKXLVtWW1vLYs1sqAtBo9E4z2IqUVtbu2zZMijGJhQKCwsLW1paGAwGnU53d3ffs2eP9r9lAoGwceNGyGjq0qVLvr6+5eXlhoaG3d1z+tdOL4b0PBuENpbnCaxHGtYiDu6Wijl5d2pbdQDA6Lgk4Awe8g3SwhPJgzNrfdJxYdm1Vglwt1RM+DlCWDbhXFlb2u2mHafw1oko71OkqLwmeh+Pw2bdu3cvMDBw+fLl2kW0jz7+3NjG1TnimN3+64SO8f1XWkLPk+2SMZbxCMt4uOlhmPGhqtjLEzdKqVxV1TDkeRzrnoaxiIO7pmLOFrdOnyqfO/bTT6vfeeedd2di4ccfv/PWW380MPiTgcE7b731wWefvfvuu+8tXLjwo48WfPjhO2+//c7bb7/77rsLPvhgwQcf/NnA4I8GBm8aGLy38P0F73+wcNGiDz7//O0//enPBgZv/+lPCxctWvDBBws+/HDBhx++t2DBwkWL3v/kkwUffggN9d5770FHfOfNNx+N/9Zb0PjvvPnmewt0DvrWW9BQbxoY/NnA4N1331340aL3Fix4+49/fOsPf3jrDYM3DQze/uMf3zIwWPD++++8/fafJue/8OOPZzzNBe+/rzv/hR999N7ChTPuOYX33nsPmvw7b7317ttvv//ZZ+9//Ml7Cxa8/eafn/SBBR9+uOCDD6GDLvzoo/cWLJjLgf4X+O9//1tdXT3Dryifv3r1altb29DQ0NDQUGdnZ+hxRSKRfHx8PDw8IiMjZc9orDA4OOjj4xMcHBwaGmphYaGthY6Ojt68eXPoJJmZmdMNnZlMZlhYWEBAgJ+fX1xcHCTOSkpKtJ8KCwszMzPbuHHjrGbQGo1mai3h9FcAUKlUmZmZoaGhwcHBdPqjGw6fz4+Pj9eubdHp9O3bt0dHR78k30WpVHr8+HHoooWGhkKJMgCA8vJyPz+/0NDQmzdvlpWVQfk0vb298fHxujXkKBQqPT1dV6VJJJKkpCRoNF9fX2hJ6+rVq1CgBSIzM1MbhoHBYD4+Pmlpadq4V1ZWFuTApEtGRoZ2bigUCppbZGTk0NCQWq3Oz8+HTiE5ORn6tRkZGdmzZ09oaGhERESTTklHb29vZGRkaGhoSkpKfX19RkYGFBk6ceKE9hdVIpHExsZCmxqNJicnJyAgQJtRNC8wGIz4+HhIP6lUqrS0tJCQEOiXYYpf1NWrV7XXSqlUJiUl+fr6zljnPyN6MfQ6MsaXpt1u6hp+YjbJq4Tcxc643yySTqjvHqbwGro7+QbVLgmVXdqGpTMBANmlbSjaCABArdEIJYrWAZ59MhLbxBRJlWeLW7B0plim7GYKnFJQhy835FV1uB7DRF2ou4zoCsmsjb/aeBffmw/r9DhevTOn7hq6m8V7tPrG4/FwONyxY8fWrFmzYMFEs9g333nfxMTEZvuumJO3HZOq9hbSD1xrM49Hx16hPCQ8WqTvY4muobsTr1Hsk1GXYJ03sD3H7zTpOlPX9/D3ZVd9+fXXn376yWd/+ctnWj7//LPFiz/7/PNPPvrofQODTz76aNHChe8bGLz/hsHHCxd+/MEH7xsYvG9g8PEHH2j3//DNP3/wxz9++skn779hsOi9d7X7fPrpp4v/9rfPFi/+6O23Pvv0088XL/588eJFCxe+Z2Dw8fsL//qvf330zjsLDAw+XfTxZ4sXQ0N99M477xsYvP+HP3yyaJF2/EUL3ltoYPD+G298smjR53/5y6KFCxctWPD5X//6+d/+9unHH3/0zjuL3nvvk0WLPvjznz58+62PP/hgoYHBJ4sWffrpJwsNDKCdoVc+m5HPP//wzTcn5//GR++887nu1Zgbn3z00ft/eON9A4OP3n33s88+n3mfRYsWGhh8+NZbf/nnPz/+4IMFBgaLFi6YmMLixZ99PvmpxYs/h67G/xJ//etfZ7xxs9nsL7/8sqqqCtq8fv360qVLBwYGurq6oP4D27Zta22dQeg/hYCAAK1rTmFh4fLly6GHjaenZ2rqzGupEBqNBnqyQpseHh7x8fHTwzDOzs7Tc2n16Hmd0Yuh15EhjsgyHt7Q9VoY1JbVDzqloITSxzJqMbQR12NosWxiTconA5cP7wIAjPKkPuk4t1SMWSzM60R1eDbB5Sj6XGlbzMU6j+NY81i414nq8HOE7enV9snI0Kxau2SkdQLCIw2LbWLuu1R/sWLmBEYAgFqt7uzsPH/+vJub67/+8QWkiv5gYPDeZ//n7R++LzXXZM+dYf4M6wVVjUMeaVgAwAhHbBkPb+1/VFN2C9m+PbPhfnHZ6NiohM+TSiQymUwmk0mEQolIJJVK6+MOI5wcmQ0No5RGhKNd8bqfa6LC6+MOlaz7Be5gx+vrlykUMrl8EIOuMNrWfP6ccGysPj4W7eXRcuF8+dZNlabGI6Q6hQbIpFJ2M104NiYa50oEAv7QUHXADnxoUF9lBcrVmXRwv4A5IpVI5EqlXKVuLyws/mU1yt1VyGLJFAqZTCZXqlov5Zas+wXhZM8fGhLz+dyuLk5np0wmk8nlQjZ7rJnO6eikZ2VWGG/rLSvldHZWB/jhQoPqDu6H29uOtbawaNQqK4uGpESJQACdo0wul00yhKuuNDGkZ2UJR0frE+JgNpZjdLrsmVAoeP39cEfbh6tXMO7clqvVM+4l4nJJhw4gXZ36YJXEmJ0oDzdOZ8fEW+PjMrlcJpfLFAqZVCoaH3+2Cfz2eVJvBw6Hs2TJEm2WKI/HW7lyJQYz4ciFRCL9/PymrDuop6GrVzQajb29vTYxpaSkZPny5VA0xdfXF7KZeRJMJnP16tVk8kTzYxwO9/PPP0/x0GtsbPz73/8+Y+2VHj2vLXox9HoxxpMmXKPszSNZxsMjzhFP3KVrk45fPW0DvP359aFZtbaJiMOXGyLPE6rIE2mMAomC1DF2+HLjwYKGpOsU+2TkjlP42MsNzX3jCMrwFSTDJhFhfKjKKh5uk4jwScfZJyOP36FbxMFTblIRlOHOIT6pYwzTxAzLJgadrX1Q29c7KuxniUbH59RTYmBgoLKycteuXUuXLl3w7oTP9cJFi61s7QsK8tvb23WrM/gSJaaJefhyw948klUCIup83WVEV0OvICPtxgP37WFxd/zOE29eKm7dHS2ZtGsbJ9U17oqSDQ5yCYSevFzagb0qLkfc3jZSUtwQGYbcuong5UHwcu+7NuGfJunuHrp7Z+J4ajXjXDbBy4MUsIMUuIO4w2cMajomk7akJHdlZzbFHpT19wG5nOi3Hbb2J9qB/UCjGbx3h54QCzQa+fBwfXAg2sQI52jXd20iWs4lEvDODgQfL1JIYMuRpKZDB2QzFSELqFTWpC+cgskcfvhg6N5d0WQGBo9MZpaXzng9ZQP9ww/uAw0AAGjE4oEbNxTPvtDQffEC3sWxbocPOSJUPjJzzzvF6Gjjziickz3GwhRnb0vc7j0+WfXamna0++JEwL8jI70z8+yzTuD3CofDWbp0qVb93Lt375tvvoGsBZubmx0cHJoed6tSq9XHjx/3fxzdJFMAQGtrq4ODQ2xsbElJiaenpzYitWPHjh07diAn6eyc6vpTX1+/atUqbTZrX1/fypUrGx9vuhcYGPj0RFo9el5D9GLo9WKMLz12i3Ygn2wVj4i+UHf6QYtU8euIobr2seN36AnXKBHniLZJyMTrFNNDVXlVj26OIqnS4Qgq4hzh+J0mhyNo/9M1SdcpA2Mi6Cxcj6H35ddn3G+xS0YFn63NqWinMDiW8fBK8sRtlNbLrWkdPXaLlnyD+tyTVCqVRCLx9KmM9ZsNDd74E6SK3n7zT0aGhsnJySgUSga14wHgVHHXnjyy0cHKqAt1O3PqUu60pBfgMAGBN62d9oWcuLrNounwAflkTZlkeJgQuAPv5TFYVkrw96XEHmrPzhR0dogHBjD2NlWbN9RFhDEKLqHtrNvOnOrKy4X6jikEgo4L5/jtbdT42NodvqNYDGlnZOWm9Sgr85aMk/XREVXr17afPYNxsK3x8RooflDt6ly5aT0pKlzO5fBaWjAOto2H9hNDgqo2rht4cH+4qhJutHXgwX0Fn08MCqjcsJYUHdmUnFj+08raHX4KPh8AIOfx2s9laRNOe29cgwygWTgcPfUo1AZLMjxEiT3Ee7xLhlqp7L5SyMROPF+HqyoGSuZUcPEkui8Xwo22smrwMjanNsifEOSvW6uvRSWRNB9PhW/bjDAzhhltJYYESSbLVQZLihFmxp15ue1ZmUgzEyYa9SLz+T0xPj7+1VdfOTs7Hzp0aO/evZ6enlB1DJlMtrS0hMPhMpnsWVu1K5XK/fv329jYWFlZ2dvbcye/LH9//y1bthyeZPqyXUVFxddff61NyhkeHv7vf/+ra83c29v75ZdfPmsnBD16fnX0Yuh1pI8lNI+F1XU8Tyv1+SL9XnPUhToAAJbO3LKvfGdOneMRlOfx6phcEqGNlXidEnGOYBkPD8msjbvSaJeELEQ8csFXqtSDbLFcqVZrgPfJ6jMPW47dokWcJ5gdhvmk45JuUAAAmSWtkeeJErmSL36hlhFdLPmJ4t7gzJoNYZfXe8T/Z6XJ+58+ahb75ZdfBgcHP3jwYGSov6lfaJ5U08mU5lV17blUDwDANPTlW7ni1q+kHdw3JetBxuFUuzmXrf6RvHtX2+lTaBur7mtXcO6u9ZERHDKZFBlOCNzRf+f2YEkx1tmh8cB+0cBA4/69GEc7QUfHCBwuGRoS9ffj3F3gRlsRpkaVG9dVbd6AtrUm+PsR/H3xnh5lq36oCwvl0emE4IDaHT5KkUjU24O0MC1btULrYc1Eo8ebmjQq1XBVJb+tjRQZVrVpXV1osHDyT1UpFJKiI6rdnPkd7YyCS7Ctm0YxaAAAu76+atM68p4YLpVS4+OFsjTjtbTonp1GrW45lQ43NRwj1I4g4LCtmxgF+S/yLbCJBNako4lkZHiw+OGMjWPlHHbjgX1IMxOEiSHC3Bjv683TyYcdrqyo2rAWtmXjWO3U+ur/Zbhc7jfffHP06FE0Gr1p0yZ/f3/o9XPnzhkbG0dERAQFBTXriF2NRoPH4x88zoBOKFGpVAYEBDg6OsrlcoVCERERYWJiAtWU+fr6Qi41uqNRKBQoUNTV1YVGo5ctW6YrhpYsWYLWcR6Pi4szMjJ61jaoevT86ujF0OuISKqsahga47/01pszQmxjXarqCD9H2H4SdwnWWUkevIJknHnY4nIUE5xZe7a4tamXe6mq8+gtmnUC8kBBQ05FR3n9wIzp3hoNqKYzGxmc3MqOY0U0m0Rk7OXGiPPE3MqO6AtErxPVhfCu5r6ZPX7mCJI6smF3mUU8yjwBaxqPtU3B28aWOO7MXG/tv2Llqrf+/AdIFf3ri79sMbb81iR035kHoVk1QdnkB43jxUXoBzaOMOOtNQE7xDr2aACA8WY63ssDZWmOtrWsdnbgNDTwmunNqcfUMhkAQDIyQj96BIpqCLu7a3y8kOYmNb7bhT29uoMIu7rw3h5wo60IU2O4qRHa2gLv7dF9pbBmuzfC1LjGd7uov186xqIfSRIPDIwg4GhbK5SNJeXwwdYzGZDi0aiUraczeM3Nwu5uvKc70tyEEBIkGRnWHkIh4Dce2o80M0bbWo9isQCA/vv3em5eHyMSUNbmVZvWo20suTMVEmuUyvbsLKS5CcrCtPvqlVfTN142NtawJwbrYIdxtMPY29T4bedMmgJr1OqOc9koC1OUlTnjSuErmMxvBShnCIq+UKnUr776ikgkat/VaDRTlIdarb5+/Xrq4+iqpZ6enn/+859avxmJRLJq1SqoFbyvr29KSsqU0QwNDaE/Iqix1+rVq7W1yl1dXatXr9bWc4lEom+//VZb0aNHz28IvRjSM5WrKIZPOs4pBW2biPQ8jq2on1jY8j+NP1/2yAKELZBaJyCqm+fqOAzt38jgVJAHfTPwTilom0Skx3Gsbv2XljG+jNzFls1hiZDWwz1U2BB4tsbwQFXAmZqQLIJlAtr6SG1MfpNAJC5GECL2HdlmZPKHtz/Uhove+vTf/2+j93qHw/lG5vxLF7DFxZXbvWo8XEW9PdCYXAoFbWNFP3qElhhf/vNKlJU51DFeKZEMw2FaH2oWDifo6tQoVeRd0aU/fl8fE601buY0kLmNjQo+n+DvC9u6CWlmjDQ3hhttxXu51/pupyXEi3p7Gw/sxTjYivr6AACDpcWwLZv6im7xWlqwrk7F3y+t8dvOa6bTU4+i7ax7rl/DONg2HUkS9fWSoiJwHq660q3jfHbZ6hVYJ3vx4CAAYKi8DGFm3JFzgRC4o2z1Cry3h2KahT/EUEVF5Ya1sG2bWXPorvrcsOtJbNJEYpB4cBDv5V4XFiJkMFrPnEJamnLIZACAWi5vzTiJMDEaIxKYaBTMcHNnbs7r08pe1N83DKuE9KJaLh8qL3uVRttTEqh37txpZ2f3IgOOjIxAfjDQpkwm27BhA1St5uvrm5aWNmV/FovV39/f398/Pj4uFAq3bdsGefsCAK5evWpkZKT1ucnOzl6xYsUUY0A9en4T6MWQnqkolGq5Up1yixacWSuSKrRehQ1d7G7mI8M3mUJV28qae/gK2p8tkKk1GrlSfexWU9DZGqFUoZyprQe2iWl/BMUXz97rqrWfd+IuPeI80fBA5a6LpNSiJsgDqQjXCwBIf9hxtqxHAYBz7O3oxOyv19n/5W9faFXRF2++GREcXFhUNMpgdGaeFU6mi3IaG9pOn6KnJGOdHftuFxGDA7GujsJuhkoiwft4kSLDFHz+CBwGN97Wfbmwcf/emu2ew5WV+O2e9TujZGw2AKD72lWklRkhyB9htBW2dXPV5o1VmzfAt21BmhnDtm4ap1IBAAo+v+3MKX5rKwBguKK8//496OiC9vbuywWNB/bBt22udnESMhjCbkZnzgVo4Uk6xmo9lSHq7gYAqOXytsyzKEuz/gf3KYcPYp0deC3NAIDeWzcr1v0M37qZlpiAsbMmRoRKH0+I1qhUAw8fIEyNGAX57dmZCDPj0cn8oXmHUZgPM9rCriNKWaN4b0+cuysk2tQKRefFC1CSk1ou78rLHZ1cbRkqL+u5ekXzjHkwLw9OAxlmtLUzN0cllbYcT0NZmAmmZRa/PNhs9t///nfIRg8A0Nvb+89//jM/P/+5l6LUavW+ffuMjY3pdHpra+vBgwctLS0hBePs7BwYGNg6SX9///Sj3Llzx8nJqbGxsb6+3tDQUNuGnc/n//DDD0lJSc97onr0/JroxZCemUFQhm9X986+3/OCoo4UVfdMf32ML8W3jOZUtDuloEvrBlpmW0RrYHCiLhADz9RYJyCic+r8TuH8T+NsEhFHblBhjUM7c4hRF4i3cb2e6cTMir6w8/Vtfaxr9yr9w3Zt3bbt7QXvGRgY7PDzmx6CkLFY5JhdTBQKACAbG6vfGTVw/x4AQNjNqPX3q/Hxwjja9xXdYpNIxJAgfns7AIDf1koMCmDX1QEANApFW+aZqo3r4IZb68JDybuiSRHh5F3RXTk5lEMHhqflpY4RCaPVE3JEMjw8WFpMjY+t3Liuxs9HOsrkUihMDGr6uUuZzLqw0KHyMgCASiptPLCv98Z1AEBnbk7VxvWwbZu7r15mEwkYe1sWFqv7QZVYTIk91JWXC222pJ+kxR3uu3tbOlkjPVhawm2coVHUc6CWy9uzzmIc7Wq8PUiREdInFJq91mg0Iwg4xsm+dodPtZsze259H+fh41PBAAAgAElEQVQLkUh08OBBXdPkc+fOpaamPp/xtJacnJzw8PCIiIiTJ09qQzuFhYWBgYERk2RnZ8+Yml1RUREWFhYWFgbT6b7S09OzZ8+eZzIX1qPn9UEvhvS8CiRy1ShPOmNv1yngmkdtEhH2ySizWLhlPDzp+izG+dA/rhX1gzaJyEG2OOEaxetEtXUCwuhglenhKrNYmMkhmNHBKpNDMIcjqJ0XSYrJJ4harcYTSDfvl9+8dYvD5QAAxAP9osmmOWq5fIz4qBpZJZVqW7J3Xy4sWb6k2tVZKRIDAJQ6XvhKkUgz+YiSjAyjbSzLf17Vf/+eRqlUCoVKkQhoNGqZbHob1N7bRbCtm4bhVeKhwdodPqUrf0CYGKLtrLGuTjU+XkgL044L58FMKKFeChqNoKtLOjqqUalYNXi0jVVTUtJgWQnC3KQr76JkcFAz7cGpFArFAwPa5TZRXy/a1ooYFiQbY/UW3YJt2TgCn7cuY5LhYZSleemK5YPlZfM15qunflf0w2+/oiUl/NoT0aNHz/yjF0N6XgXVdOb2k9U80eyFY2KZcpAtvonpsU1C1neOzXEZrntEeAPTLZYpx/jSnhGh94nqlJu01n5eTC5pZw4JSRm2SkDcr+0b5kp0O9hXt40fvNlVVgnjj7MBAIzLhShbK0Fnh0atpiXGE4L8p5ZEaTQDD+5jHOw6zmUTggNI0ZHSJ3ThEQ8MEIP8SRHhLSeOo+2sZl+E0mi6r15B21lXuzqRIsIphw+O1da2nkpH2VhWbd7QmpGufoIjH4RaqWzYt5sUHaGSSrvycou/+7Y98ywAYKCkmHr40IyFXQCAnhvXUDaWUGV+S/qJGh8vYkhgtZszxt5mqKJ8lgnPGXF/HyFgBykyovlEKsbOmolBv5pk7XlEKRQ2px6tdnVqz87CONq2n8t6+tehR4+e3xx6MfQSEUoUPUyh4gmtTP9HkMiVQ2zxHVyPy1E0tZvLEcxJ3DQyOIcuNwgkz1l1n1pEg/K+LyO6LiO6BGL5oUJy68Aj72mRVDnEFhciOn1PE3JvlvcMjAAAFHwe5fBBnIdr48H91S5OHDJZwedzyPUalUrQ2SHs6ZFzuYQdvs0njvPb2gSMLpyHq7YMfgrt2Zk1272koywAQEv6iVp/PyiX6CmIBwfRNhalK77vLboFvcLEoCvXr4UZbhlvos16yoKO9hof7/pdUfXRkaTICMlkl2+1/IkXXMHnU+IO4709qHGH0TZW3Vcud5zPLlv1Y42vN7uuTrdm7YkjCARjdUT15EoKp7FRPPRYc2mNRtN25lSt73YZewwA0Jx2jBg4swURAEDA6NJaAChForE6gvoZW269JJgYNMbOZoxAAAAMVVZgHGy5jXp7ZT16flfoxdBLpKaF5XIMwxH+L/4TqfX/xzWPWj/LstfzoQHgmfJJK8mDVgkIuySkeRzcaH/Z8TsTakPO5aJsrB4u/brnxnW1TFYXFkqKCFcrFIzCAqSV2Ti9SdDRUR8dSQwN1qhU0tFR2djMXlDSkRHtW2qFQtjd/fRwiKCrE+/t0bA7puPCeZS1xTC8ilVTg7axakk/0ZSchHG041KpswZUxojE8jWrq7ZsFHTNNb1XwedjHe1LVyzvyM4iBPrDjbZ2XcojhgWXrvqhb1KTPQVRfz/azrol4yTQaIZhlXDjbSNIxJR9JMPDjy6FXC568qXouXkDYWrEbiCrFYrGg/vx3h6K8ReyXZgvFAKBqLdPuyns7p7eTPRZUSuVMp30GjlvXPnCY+rRo+e50Yuhl4JQougY5N/C9jiloPEto4Ns0eyf+R3B4kmjLhCbescBAGN8WU0r61xpm10y6iFhoEWnNdg8Utc+tusiiSucayBhhCOpaWWl32v2OI4/lldW39IPAFCKxc1px3BuLoSggGoP17rQoNodvlDdkFIobEpOxHm6kXfH1Ph6T/EwfHE6zmUTQ4KgGviuS3l1YcH1keGtpzIAAGqFomH/nqbkpOmZRrpIhgbrwkKIQQG1O3wb9u6Wz0FGKCXilhNpODfX+pid1a5OOA83nIcr5fABQoAfxtGu/87tWUfQaDSjWAzGyYG8exfW2aErL/fpk3w6Kqm0+UQa1s2pfmcUzt2VS5mfDO7XE2F3N2675zCsCgDA72jHe3uMoJC/9qT06PnfRS+GXgo1LaNWCXC7ZKRZLNwiDh57ZZ5v61K56vVcfdMAoFSpu5kCuyQErnlUWzZf0zIacBr/gmbTMx9Ro1Gq1FXkIccU1ABbpM3RVijVs9oUVTUM7sxtKC4tF/A4AABGQT7KwpTf1iru70cYbyv54buhykdlX7IxFsraouT77wZLS55phmq5XDz4aPFIOjo63fhHPj6u4PM1ajW/rVUtV8jGWHIuV9DRIWEyAQAqsfhJISgIlVhM3r2rxtdbzuWKBwewzg70I8mz6hJGYQHSzJjTQFZJpZTDB+tCgppTj5Wt/KFmu6e4r3fuS1TtZ08//PYrQpD/HPd/CgqhEOvsULLs296imy8+2vOhVige+75Yo3Le/Ct4lUTSdvYM2s6q++rlGr/t5JidT/+K9ejR81LRi6GXAk8kb+rlFsK7bBORsMbhbuYM7swvwp480r2avtn3e+UwuZLgzFrfDJx5LNw9DbvrYp1IqgQAKJRqvlihfgmZs8T2Me+TWM/jWIs4uHsa9uTdifYOBfDOhGuzLMnJFSqBRAmDwVmsUQDAOL2J396uEosb9u0mhgSRosJxnm7j9CYAgJzLady/t9Z3e+OBfdXuzlzK4ykjGo1KRzpMKd0SDwxUe7j23LwOAOC3tlS7OA49XlSldRcU9vZgHO1aMk4CAPgd7ShLs9Yzp+dyETQq1VhtjTZPSMjo4tTXz7puyG9pgRyPAAAqqZR+LAVta0WNO4z3cm8+kTbHlaCh8jKsgy01PrbazaXtzKknJWvPBQWfR02Iw3t7Ug4frHZ1YP1KTTkkI8M4L3fIBVvQ2VHt6jRQ/OAlHYueerRk+RJCwI7Xx1RJj57/TfRi6CVC7mSHZRPGRc+ZM5RT0Y6gTE1ilciUPJHcN706t7JDJFXOpVj9VcIXK25gujOLW20SEUdv0e7he+XK+YlglZEGC+Cd08+2hym8jOxKuk61S0KeLW5BUIblCpVIqjx5lx5+jsCXKJQqNVcoP3mX3jE0sxEzHA4fZbEAAIOlxW1nTrdmnCQG+jMK8mmJ8cSwIFJEqILH68y5gLG3FTK61QoFJfYQIWAHLTmh93YRNELb2dPEsGDIlZjf2tKwd7dQ569JrVD0XL+KsrFszzpb4+PVuH+fbgaxWiajH0vpvVMEANAolcSggPJfVlHiD2OdHWt8twt7eubl6s2KhMnEe3u2ZKQDADgNDSgr896bs8dmBF2daFtrqOx/tLoaaW4yNOlN/BwwCvLR1ha8lhaNWt2UkozzdJviFflq0CiVvUU3UdYWbZlnav18yXtiZJxZkt+fD35He62/b7WLY7WrE/OlmV7q0aNnLujF0EtErdbIlc8fDdlxGp9T0fHYgBqw91K9WyraMh7ukIxyT8O2D878gP91YY5L7JOQtN6Zi4aej1P3m8OzCU96F9PEdDqKhnKGChFdTilo+2SkVTzC8QgK1jgskSut4uF17TMvQ2jFEIdcj7axIgT6MwryMY527dmZMjZ7nEbVqFSCri7hZD8mpVjEpTQyrhTCTQz7791hFOSjrC0wjnb1u6JZtTV4T/f66Ej5NOu5tswzpT98V+vno63Kngi9aDRd+XlwE8OBhw+6LuXW+GwnhgaVrlyOMDfRLtZolErdNS+VTDp7trhGoxukUT8+wnRUMhmHTNbuw29tFffPHnpUikQcMhlMKnIevUnbhf45EPZ0Cya7XKmkUt35PB9qmQzoXCeV9BkylDsunCtZvgTv5aF6ORVtov4+rLNDw57dsrGxzpzzcOOtLDzuZRxIjx49c0Evhl5HLpS3x15ucDiC2nEKH3uloXtkYpVNAwCSOnIb1+t6DHOwsOEhoX+OleqvGIVS3T7AO3KTVlo3MPves1FGGjhUSPZJxzkfRe/PJ6OoM1gY80TytgEelEdF6+Her+3fdZG04zQ+t7IjNKs27kqDVTw88jzxxF26RDZ1PQIOh49OtpriNdOxTvawzRvaMs/OOrHe27eqNq+HG20dxeHk4+O1O3zK16xu2LtbLZ/6COc1N9fu8EWYmSDMTQZKSwAAgyUPyXt2KXgTWrbnxrWqTetRlmatpzNqvD0x9rYIU6P2rEyNSgkAYNXW1kWEQv3RuI0NdeEhs7aDkI4ySdGRw0g4AEA+Pk7evXOw5NlSnX4HdObm0JITIeHYfeUyJfaJlktT4Le11YUFE4MDsM4OfXeKXsbcJCPDjIICBZSNpNH03ro5TqO+jAPp0aNnLujF0OvIhfL2w5cbHI6g/E7h4640MkamphwFnq25gen+VeY2d0Kzas+Vtj99H3zzKLZplqWQUtLA4cuNPidxTkfRey/Vo2hz6udwrrRtfz5ZKFWm36Pvu1RvGY+IOEc8eY8ukU3NqtZGhtgkYnvWWbynO8rKnJYQ13fn9tPzZhgF+XDDrUgz4+GqClF/f42vd9WWDaSdUVN8dMSDA9XODtT4WE4DGefphjAxbD55HG1j2XHhnNahpys3B260FW1rhTQ3qQsLFff19d66Wbbqx45z5wAA4uFhQqA/Ich/GFZV7eZMOXRAMVtKr0oqbTl5AmVjOVha0rhvT7Wr86tsp/WawCYSkFbmLSfSem/dQJoY9Vy/Nhe/R8nISI23Z+WGtUwUcgQOQ9tZ04+lDJYWP3cvMD169Lz+6MXQ64tvBi77CWJiiC1+7lSkV8DpBy3ROXX2yUivE9XROXVtA098cidcoxwoIM9lzBN36CGZz9BcnSOQjXAnpMwgW2wRB8O3zNxpHA6Hs8bGAADtmWfu/edfDfv29N0uKlv1A8bOWvYEg2m1QtF+LgtutG0Eiei/fw9hbowwNaIcPsij02sD/Gr9fXU7cMm5nP57d6GuHcJuBsbBtmz1j50XL0wMJZe3nj6FMDFiYtD9d25XrPmpKy8Peqvv1k0mYsK2RykSE4L8y1b+QDm4f+4XofXUyfLVK6qdHSW/xY5g8wGXSkWYGlWs+WkutkkQch5vqKS4+Xga2taKTaprO3um9MflXZfyfnPG2Xr06Jk7ejH0+oJpGnlJrjwvm6soRtrtJuejmKCztcfv0nt0et1rwTePFiK6gs/WBJyuKYB3tg/Ocqa0Hi6ueWY1MytimbKifnB0fOYwjzYyNFxZQUuMw3u5Y50dyDG7OrIznxSAUUmlrafStUVhjIL8hj27FQIBAEDU309LiBdNS3zuKrjERCFZeFy1iyNs60bKoQNKkRAAoBSLW04cH4FVQbv1373Te+vW9FZi/LY2vJc7wtSYGBo8x7wc+fh44/69SFMjrJM91Bz+f5CBh/dRVuZIM+OWjJPPlIGkUavbz2WhLM2wDrbdlwunfyN69Oj5PaEXQ3peFgGna7JL25707oXydu+T1fbJKLsklEcadnrd3CtDN2dI0NGOtrMp+2lFZ97FZxpEWx4PMU6lsutJ0M9S5ggTiWg9nQE33oa2tcK7u2Gd7JHmJo0H9020WZ1EKZGMIOHa5GtWDZ7X0gwAGKfRUJbmtMQEYU9PXUQY3stdPDBLMpZ8fLwuLATv6S7o6Og4nw032jp7f7RnRz4+PlRZoRSLoU0mCil4fW4jGk1v0U3Ylo0DDx9wGhuQlmZNR5KeyTl6BIGo2rgOtnXTGOHXKfLXo0fPK0MvhvS8LOo72V3DTzRYkinUUrnqQEFDTC5JLFMqVb/aGoRWDI0307HODtTYw313biMtTLvyLz13NVP31Sswoy1jRKKcw6n19yVFhCrF4s6LObAtm9A2lkNlpfzWls6cC6pJGQEhHx/H+3rX74xSCATDCBhs66aBhw8AABwyue3MaehBLh0dbT15QjTbX6uUxWpJPyHo6gIAaNTqzos5oxj0853LUxAPDqIdbKkJsSqJpO92EWzr5pchuZ4TjabvdpF2dWyMUNuelal8/II/8aNq9VB5GdLMuPNiTnt2JtLchIlG6ZfJ9Oj5HaMXQ3p+TUrrBh7U9j9lB6FUiaUzOTP12SB3srXWQUyuBNc8KpXPYjmt1mgIbawpy3ZwOJzFYoGJ1a4YKLmn/94dUmTYc5sCq+Xy9qyzWCf7Gh/vutBg8UA/AKD//j3Y1k1ISzNWTQ0AoP/BfdlkqvVQeSmXRgUACDo7a/39avy2Yx3tGQX5mvnzGRcN9PffuwulbKuk0r47t7UmjS8Cl0bFebrV+vthnez779/7fSgGlURCjTvcfvYMtNl8PJWeckTfqV6Pnt8xejGk57VmmCOxjIc190+1U+IIZH6nawqwE3nBGNqIbRJCKJ8qHXhi+ZRMc6/j1VMK8bSRIZVEotuDYnrTjGdCymSirC1Kf1gGte/ovXUDYWrUmXuREnsIbW/dd/t2XUQYKSpcyhrtu11UtWXjMAwGfbD76pWSZUuwLk5K4Qy5Vs/NOL0JYWrYeipdIeDTU5JRlmbzVV/WduZU8dKvCYE7wO9BCE2gFAq1wk6jUs3vd6FHj57XDb0Y0vOaIpQq4Y1D19EMx6PY/KqOjDPZycnJF3POAwCwzWPOqdWm+x86+e85lnayso6RVdbhnIq7UtF49fpNpfLR2taJO/QjNyY60uObR8tIAx5pmOQbVFjDEG9SJOnmDM0X4sEBYnBgXXho8/E0jJP9UEU5/djRvttF/I4OrKsTxtG2u7Cw+3Jh5ca11W4uGAf7weJiAADQaAZLitG21i0ZJwlB/vU7o6TzOjF2HbHa1ana3QXv6TYvrjYapbLn6pVqF8eO89n47Z7U+NgXb+euR48ePa8evRjS85oyMCbyPI51TcWaHq7624+WP2x2Ki0tDY+KCQwKCs0ibDuE/PcGzy9WWn+x0mrJtu2uaXiblNrPf7S1cA1Sq1QAgHGRfJgjPny5YU9e/RBHLJIqd+fVOx1FWcTB7ZJQrqmYzskltpchhjrOZ9d4e0JSpuVUOiHQX1vc3nPtCtbZHmrCVe3mXPHLapynGxR4kIyM4D3cO86fAwAIe3qq3Vy6LxfO78TIMTuLl35DiT00L6MJujqxjvaUw4fUcjmvtQXv6d6elTnHgJNsbIzT8MhVgV1PknHn07Jcjx49euaOXgzpeVHmPUtEA4BGA5QqDVsgo/aLf3BO/GHVL+xxIQDgQnn7nxcvWesWa3648sP/+9n+4G00qd3bw/0munNd8KW1GzYz+ibyYE4/aLFOQFjFI6ziEZZx8NK6AaFUMcgWu6Vis0vb2HyZYjIdZ57FkEYj53IkQ0MyNhsAoFYoZGNjQkYXAEApEkLLcNS4w5XrfkbbWOG9PLvyLxFDg4hhwZLhYY1aLezq0lZxS4aHn2R09Bwo+HxaQhwksLDODvS0Y1B21IugVioEHe0N+/YQQwJVEslYDR6+bUvb3JrLchrICDOj3ls3AADdVwqR5qbjdPoLzufVo5JKdJdTZRyOWt9yVY+e3yB6MaTnhRhii6MvEGd1CXom8mGdGfeaoZ/5MrDeNtDHZztfqu4c4h+73/WPNe5rTZ3NDxT/9Zt1uQ+JY2y2n7c7trF7yWb3mzduaAdpH+DjmkejzteFZhEwtJFhzkQZUfq9ZkzTYw6E8yuG1DIZee/utswzAACVTEaO2dmelQm91XPtav2uqL6iW3gvd5S1ZdnqFU0pRwAAov5+vI9X3xwao74ILByu2tUZCsawcNU4V2dOff28jCzs7SEE7CCGBRODAxoP7Jez59TWVKNU9t0uwjjYNOzbg3WwGyh+OMWe4DfBaDUG7+3Ba2sDAIygkHhvT0Fnx6yf0qNHz+uGXgzpeX5Uak3HIM82EUFqH1PPU3xIqVIfvUXbfZGknIzchAQHxh7cewU36pRa43Sc9I1R8BdL1jgeRZvZeYwO9Q0ODoSFhVVWlAf6+yGRyLCw8Avnz2tHO1/BOF08y6oNGo3mzdbd4pkYx2JwDjZtmWdoCXFET3dZVxf0umqUSQ4Nqtq4rtrNpc7Ppz0lmeTjJW5pBgAAkQi8WFPSOaGbEj4+Po8Dj+Kq4evXoE2NhNPcJp8O5cD+yu+/oyXEzeNkXikiUXPsIYLv9u5rV/HOjj3nsn4f9XR69Pyv8SuIIQ6H0/g7hU6nU6nUX3sWzwmVSulobWqizTz/KadGbWxA4BuCM2t9M3DmsXCvE7iYiwQSuZHyIhOgNKTfqvM7VeOYgrJLQvpk1FwqqafTKIaGhm6urjBcw+V7yLCsmn9vCfj6m2+qqkmRUVGenp4uLi4RERHu7u7RUVE2VuYBEXu++G5j2smMFjqNQqHgCSRcLYlCoVAoE1PT/Rni+vXrWCz2BSb+OBQKtb0dfy67Ys3qyq0biffv09raoNeb29sbqqqqLM1gG9fh0lKbm5thWVm1lZUUCoXa3Extapq3OUyi+61RqFRaczN07hQKhdbSQpmX31UqtQtXTdjhU2Rrfc/asmFXVAeZ3DDryBRKE4XSnpdbaW5608Wpytq8/XIBjUptpMz1N+g1+Vuj0umNZDLcw63ix+XIqAhqWxuFRnvBMV+TU5t3Ghoauib/MdCj53XjVxBDKBSqqqqK8nvk6tWrSCTy157F80ClUtD4uu3x126WYKjUGXa4fPkyGo3W7kyjNhLITdfQ3acftlonIFJv04uwjAYKZaaPzhUatbEE33YF1ROSWeuTjsuHd8OJrfQmqpubm5ubW2sLvb2FlnGX9r15qJW5UVsLvaW5+caNG0VFRUeOHHF2ds7LzXV0sEM3MJZbx2zaZlJX30ihUOhNtOYm2tOPe/369erq6lmnR6VSqU1NjzabmigzXSkqjUaqqXnoux3rYIuwsSzZvatx8vOwU6du2FihPdyIAX73bK3uBgc2ksm6Yz4Tc5lPYWHhrKdGpdGoNNqMY84FEr6m1NWZHBXR2dzMaGio9XKvCA1paGh4+qcaqVRM7sVKw60dN2+0tbe3X71cabwNW1g44yWdkYKCAhwO90xTfSk0NcHPZZWZm9Z6uBbbWGJuF1Gb6C84ZEFBAR6Pn5fZvVY0NjZev35dPDffSz16XjG/ghhCo9HzXrzzmlBdXc2av4zXV4xYAVzS8I3dM3tGYzAY7kzFPgMskW0ioqlnPuuAjt9u2pv3KJ0lPT3d3d1NuxkeEbVz507d/T09PWtqahrqid+usw3La/ve7sA/fjA+cK11joeb52UyjaYtOanWxUnQ2cnC46otTQevXIbe6cu7WL5sSeO+PT03rsPW/UJwdQbzujw3HRQKJRA80QR8vhDQaLLJFiKi/n7JHO2LhEIupVG7Nd7QAJ6lLB+BQIheOAH8xRFRKXhri85z2dKxMVrswTpPN9UL98SFw+GS36lDQVVVFf/F7Lv06HlJ/ApiCIPB9Pc/zXT4twsKhRocHPy1Z/HM8ESK1CLawUKyVTwi8jzx+J0mkXRqRQwCgRiZvMvfwvbkVU5kicoUqpa+8en7vwgDYyJdk+jOjrb/fre6BEUGALDHWCtXrkCjH3WWuHDhgr+/PwCgsbFh7VaLXHjfUpMgU4ftKPqYRgOuoxkF8Fki83NMoGbXk+oiw4S9PQAAHp1OCg/lt83QeU0lk/Vev86jN0GbTBRyqLwUyiNhk+q6Cwpw7i5wwy301GODD+6/SD0Xh1xfFxEq7OkGAPCam+vCQ3ktLVP2gcFgY7OZaHcVXKIlxkPJyz03r1MOHVT+Fp7EVVVVnEkF9isyTm/quX4NKgBU8PmMgnzJC98BKisrx+c1o+v1oaKi4hWocz16noNfQQwhkci+vr5Xc6xXDBwOH5itg+ZrCE8kP3qLtu8S2SoeEZZNSJtJDFVVVQ1PNks/epO2O3d+CpHmiG3Y8Z82WyYnJXh5eZ4+/ahyu6+vb9u2bSQSCQAglUr3742xdXD+69e/lMCw0A4J1ygHChqePvgcxZBkZIQYElTr7zuMgOE93ci7Y+TP7ovDJtWhba1hWzf+//buLKypPN8bfd/svW/2Rfdznn7f0+d9a++z+9n77O63q7q7qrosS8sqFVHmGcKszCAgJYgTAjKJIqAyOYDghDiBCIogJIGEKQyBMEMYwzwmZB7X/1wsTaXQUkBIIuv3ufBJVlbW+q8Ek2/+Y3fKxY/saSuZmW4KPtzg4zVFrqw76NoaHiZ7KxyUl5d/sKpyobmZamXWdfECp/AJ2cRo6M6dT6IL8MuXLxdWN2ztk1NWVvbOWtgt4Pnz51AzBPSTDsJQZ2fnp9uW9H4dHR2f7gf09JLY4mwVrXPmnY+yWCwhn/ekbuzoDYZrUg0psfqn643Ujo9tEfigy0+7juU0OSc37Aq4+aVT4uMXv1gHlMfj9ff3q++KxWI6raaju1eJUEHN0NEbDOcLNY7na0KuNdK7331daC1D65ViCSPocNm2r5gnjq9j1bDZmmqykWH/1ayFJgbVxqIjLuYjZ/pRSiSM4MCybV+1Hj/2znHpbW1tq/nu4XZ1UsyMy3d+O1Jw/2PKo01MJlOwRZfIaG1t1YcWwM3Q2tq6VVsAwacOhtaD18Qy5cvmienF931UvWyZSHrS6XW5zi2ZlvCA1dS/znVMV+8OefDC406Hc9VHb7ZffzW6uOrOly+axpOedHqk1h5MoSU+ZDEHfzWkrj4M8QcH6z0Oko0PMA77iSbeXQWoksn6r1+drqbid0ce3B998hi/zSkq7M9Ix1QYQmie0diZEL+OuiVNgqGhes+DZOMDjQG+wo+okpwse0G1NCebHuhOTVbJV7UcqXRxsedSCq+nGyGEKZUD17JmaqjrLgAAAOgWhCGwZokPOsJzmlezpwrDuka500sf+1vQ4xI999V65rKLyW8/ldf6/n1WGYZ4vT3VNpbtUZGC4eGWsJ/oLo7Cd7X2YipVz5zlrMcAACAASURBVKUUsumBufo6TlFRpcFuztOidZT8g5Z7e6ttrdoiIwTDwy3HjtKdSWud4wchhDCMU/y0ct+esSdPltrbqFbmHfGxilWM95EL+C1hR+nOJG53Z39metUBw/nGxnVcxetSqJSz9Br+m48gXk/PXEP9J9FaBwDYGiAMgTXrGeO1D6227+qhVNoj+shHnpHRPz88vZ5+l12j3I4PjXRbZRhaam/vu3wJb9iSLiz0pqbwB96dzzCFsv9aJtnYkGJuMvG8dB3FXo0lVnvv5Uv4omayhYXe1JR3duj+AAybKC3hPH36+phtbezsG6sJQwghhVDYHnWm6oBBjb3NYusHEucHSqFUtkdH0kh2wnEOf2CAamHWk5IMYQgAoDUQhghkjiep65kVy7SxdhKGoc6RpfqeWfcUWkpRd/PA/MaOONtAG7UcB6ZSTVaUc7s6EUKcp4Wv9v5YZbRvoanpnTvLl3ljRYWShdftjJPlL5c2Yhn5dZhvbJhvbMBvizhjEy+er351rd7LqeXfbaM5OQg5HzskQrqwwDx1otbdtdbVuSM2Rr7qMUdzDfWz9Nf95QXDw+Mlz/AF4AAAYPUgDBFIfc+sdRyZK9DGV4VCiYVca7SNp5idrbKOozgkUgen9HRI7QaGoc7z52ocbPsy0qqtLKoMDWoPulXbWM5UU9+u5JAuLNQedG0KCZYtLY4VPXllsHuqsvLjy7AOw/fvVe7fO0uniSYm6K5OrcfDVbIPdxtSisVdFxKrrSymKitZZ6Nq7G0+fpnVBUZjxffbX+39gde7co6A9xguyK/ct3uWXiOanKh1c24J/UkJYQgAsEYQhghhliep7pjOKe+3P0d9TB95T2/ijYJhaGJB1D+x7JxUk17SOzYnlCrWPPxKOzZwoVaFQNB14VzFDzsr9+3pz8yQcbm9aZf7szLeOfRMODrS6O9b6+pUY28z/qx4QwqwDphSyb6ZU2NnRXcmMU8cl35oXiKcaHKyJfToLI2GEFLw+e1nTnOKCj+mGEusdroziRUdxTx9svagK3+VMzcihCmVg7k3q+2s6c6k1uPHJFt0pCoAYFNBGCKEFvaCUeQr48hK87NV1vHkuIJ2rZ06rqC9sm1qs88ilCg480LF2oe7o41etX6+sbHScG/lAYPFN9Mrv2cx9oHs68///kWtu8tHjrH/SEIOh2puUvbNlxMvXqz+WUqJRH0bkyuwVTeuvU0hFrWGhzFPHlcpFAqRqOlIIOtstGrVK9eKxsepFqZl//hyvPTZussAACAyCENEkf6s2ziy0vNSbecolytc1fDpTwi9a9b1Ys36rmvDwhCGLTQxauxt2iJOdZ6Lpzk7cLu7EELv7I+MKZXD9+5SrczZOdmMw/5NIUGSuZ/LIFta0lr3Yf4gu+6QG/PE8b7MtGpbK/UIeZVCIdvk1UJ+hmGC4WHFm3mDZEtLwtHRVT5VMDRY7+HeevxYX2Y61cpssvwlPh80AACsHoShrW9hWTo8zb/0tMsipiogo35sVr/mc6vrnj19q5UvXm01wAoCiXxomv+QNuJ4vrqpf24dw/hpNJp0I3qZKCWS9jMRbWci2qMje69c6kyIa4+MaD1+rP9q1ts7Czljde6uo48eIoSEo6NUG8t6H088DQzm5jQfPSLXyoyCGIb1pV9hHA5Q8PkIoXpvT6qFmWxpCVOpOuJiuhIT9DxYYBg2mpM9cPokfrcvI63psP+a1jgDAAC02WHo/v370dHRmt80OTk5ISEhoaGhoaGhMTEx+C9yoVAYFRUVGBjY82ZxJS6Xm5aWprezOXd3dwcFBfX9ciRzRUXFTz/9dPTo0ZcvX6o35ufnBwUFFRb+3J3izp07DQ0N2isrQtkv+y1iqqxiyZaxZOs48uPakQ8+pbe3V/02hYaGqq/o5cuXQUFBOTk56j2Li4tfrKVtRROGIRWGlTI4zheq53gSbF11IfTuGcvYKtt4iml0lfnZqtj7be/Zub29/ciRI6GhoXl5eeqN169f9/LyysrKUhegrKzs6ZvR5msimZ5WSqTT5KpqW6ue1OTmI0E0RwduR8fbe2JKpUhjEavlgX66mzPz9MnBvJsUc9OxwsI1vRoDAwM//fST+v16/vw5vr2ysjIoKOjatWvqPUtLS0tLfzHaXzo/L39TAzTfxKi2s+65lNKTklxtbTFXX7/6MmwshUIRGRn58OFDzY1jY2Ph4eGhoaGpqanq16eZSvV1dU28cEEilWJKpWx6msFg3L59WxelXhWZTBYREaH5mTA3N3fq1KmjR4/ib9+dO3fw7UwmMzAw8Pz585I3LZJ1dXXqR/WKSCQqKyvD/3OFh4dPa6xWOzg4GBYWFhoamp6ert7Y3NwcGBiYlJQke9Nbn0aj3b//yUyADraezQpD4+PjJ06c+Oyzz/785z+rFwRQqVSGhobnz59nsVgsFqunpwfPSSkpKUeOHLl27dqhQ4fw//YJCQmHDx+WrWJUi5ZJJJJ79+59+eWX//Iv/6IZep48eWJkZESj0VpaWqysrAoKChBCDAbDysrq6dOnVlZW+PpZjY2NhoaGWl6ajTMnZA4unrnD9Euvb+qfX03dyd27d3fs2NHe3o6/U/hH29DQkKWlZVFREYlEwgPQyMjI3r1729relz/eo65n1vMS/WAyzeJs1cEUetbz1a4zr2lRIGsbWsytGLBNoLxiTrxnzFpLS8u+ffuKiopYLJa3t3dcXBxCaGpqysjI6OHDh66urk+ePEEIzczM7Nu3Dw+sK+pFVl9NMlleVvHDDoqZ8XLvai9KOMahWpm/+OYrvLpoTR49evTtt98ymUz8/cJXkRsbG7OysiosLHRyciouLkYITUxM7Nu3r6XlfevKzdXXVeze9Wr3rnkGY63F2ChNTU22tra/+93vAgIC1Bs5HI6JiUl2djaLxTp58mRgYCBCSCwWH/Lyyr19Oygo6MqVKwghOYZZWlo+evRIV4V/PwaDYW1t/dvf/jYkJERz49/+9jcqlYq/faOjowghPp/v4uKSl5cXEBCQmZmJEJJIJObm5uuL6ZutsbExICCgoqKCxWKlpaVZWFjgf4SDg4NGRkZ37txhsVhHjx4NCwtDCPH5fEdHx9u3b/v6+l6/fh0hJBKJTE1N1SEeAO3brDD0+PHjwMDAhw8fGhkZqRcdFIvFhoaGdDpdc08Mw9zc3PCNLi4ug4ODi4uLRkZG7FUPJ9GmsbExNze3Fy9eWFhYqH9hy2QyY2Nj9S+2kpKS3bt3S6XSq1evnjlzBiGUkJBw9epVhJC/v392drZOSp5XyU54sNqZbNLT0w8dOrRi45MnT/D14fPy8qKjoxFCZ8+exW+sT//Ect4rdtTdNrsEatqzHjJr/f2sm/rng7IalkXvS89+fn6nTp3Cbw8MDGzbtm10dJROp3/33XcIocLCwuPHjyOELl68eOzYMYQQUip70y8Pv1mua/BWbv/1q6upsFGIRJ3n4qttrWrsrAdv3VzlJYw+elBja1Vjb9t25pSMt7ZFy2/cuOHi4rJiY0lJiaenJ0Lo/v37+IWfO3dO/Qq8k0ou771yqdrGssbWqjf9ynu6fm+qEydOZGRknDlz5siRI+qN586dU18jn8/fuXMnjUYbHh62s7NDCDU3N3t5eSGEHj9+7OrqqpNir8axY8euXr168uRJPBbgKioqjI2NV/xptbW12dvbI4Tq6+t9fHwQQvn5+W//r9RP+/btu3XrFkLozJkz3t7e+Mb5+fnt27czmczOzk4HBweEUE1Njb+/P0Lo1q1b+NsHgK5sVhiSy+UIofr6+t27d6vD0NTU1K5du1ZUJKhUKhcXl8bGRoSQm5tbb2/vhQsXNCv29YpSqVSpVBiGGRoaqsPQxMTE9u3b1dc1PT393XffDQ8PZ2Vl4dUPSUlJ169fb25u9vX1VemoE4ZMoZLKV/vdtuJ7CHfv3r2goCD8xtmzZ0dGRtzc3D5+DeqK1gnnC9WC9fYZUpPIlO8JKgqFYv/+/Q8ePFBvMTY2Li0tpdFoO3bsUKlUpaWlJ44fn5ycdHV1VbfPjj58UHVg31hR4ejDgqr9BpziDy+soRCL26Mia2yslvv7Z2k1Vfv3DubmfLBKafThg0qD3ZMvywSjI3QXx5awo/K1vLBxcXH4l4qmx48f4xsfP358+vTp8fFxFxeX9yyHrpLJupOTKKbGSyzWUhuTbHKg91Lq6od0bSD80yMyMhKv/sG5ubklJiaq73p4eCQnJ7PZbBKJhGEYk8n08vJaWlpyd3fv7u7WfplXCb+0U6dO/fTTT+qNd+7csba2XhGGGhsbHR0dEUJNTU0+Pj6Li4tubm6ayxLrLYVC8Y9//CM/Px8hZG9vj9fY4RwdHW/cuMFisZydnRFCdXV1/v7+CwsLbm5u0GkV6Nbm9hmiUql79uxRf/5OTEwYGxu7u7v7+fk5OTnl5+fj//+PHj367NkzsVjs4eFRUlLi6OhYXFxsZ2cXHBzM5a7tJ7J2CIVCzTDU2tr6+eefDw4O4nd5PN5XX31FpVKrqqrwj7xjx47du3fP398/Nzf3+PHjdnZ2Wu42tFbJyckHDhzw8/Pz8/MLCQnBm8nq6+vxH6ZJSUmZmZknT55MTU09f/68vb39x9RvL/KlPWPc9Y2KxxXWjt6pel2POMMVJzxgvd1YtrCw8OWXX2q2bJqZmV2+fHl8fHzv3r0KhSIrKys1NTUmLu78xYuXr1yxd3B4UliIEBp/9rRy355Kw72T5WWrKYxSKh3Jz1f3E5omV028KMUXZ32P6arKiRevX0P+wMDQndtrGmyflpZmaGiIv19BQUGTk5MIoebmZjc3N4TQ5cuXr1y5EhkZmZSUlJKSYm9v/86mFpVCMfb4kbp1bL6+nlP45GMGzH+k06dP4+EbIYRh2J49e7Kyfu6Kfvjw4YCAgOXlZUdHRz6f/+LFi4iIiMzMzLCwsFu3bpFIpMzMzPX1QtOC48ePHz16VH23sLDwhx9+wN8+T0/Pzs5OhND4+Lijo6NYLC4uLo6Kirpy5crx48dzc3NJJBLetKS37t2799lnn+Gfh99//71m/62DBw+eOHFicXHR0dFRJpM9fvw4JiYmNTX11KlT2dnZDg4ON2+utiYVgI2l1TCEYZhcLudyuYuLi83NzTt27MBrgOrq6hwdHe3t7ZOTk8PDw1NTU319fUtLSyMjI/FmJn2zIgwxGIz//M//1AxDf/nLX4qLi/l8vr+/v7e3t7+/f1ZWVkhISGJiYkxMTElJiaWlpd52D0cIqVQqkUi0uLi4uLgYGRm5f//++fl5sVgcHh7u5eXl5uaWl5fn6+ubnp4eHBxMo9FMTEx02Kx59l5bUNbrcDk2J7SMrWp7a+m0ubm5P//5z2VlPwcaIyOjmJgYhFBQUNChQ4dcXFzu3S9wOrA/muTgHxRU39xsYmb26lLqWG4O2eRAlbEhp0Rn8yJ+kOb7FRMTY2BgMDs7K5VKT5065enp6eLicvv2bW9v74yMjMOHD9PpdGNj495Vd2bSlRVh6LvvvsvIyFA/6u/vjzeHpaWlubi42NnZ3b1718PDIzs7283Nrb6+3srKqry8XDdF/5AVYQjDMIlEgr99OTk527Ztw2uAUlJSVlyau7t7fX29hYUFmUzWXfHfp6Wl5Xe/+925c+cQQnK5/Ouvv9YcrODi4oL3A7t48aKLi4u9vT1+aTdu3Dh48GB9fb2ZmVlNTY2uCg+IbMPCkK+v72efffbZZ5+FhoaqN64IQytcv37dwMAAbzbq6uqqqamprKx0cXFhsVj4x1xTU5OZmZluu1EXFBTg17V9+3b1bDQrwlB/f/8//vEP9bfL4uLi9u3bq6urEULz8/NVVVUjIyMkEqmpqSk4OBivEzI1NV3Rd0q34uPj8ct0cHBQ/rKniFQq/eqrr/Ae0wKBoKqqanx83Nvbu7y8PCYmBh/v4+LigvcZ17JSBifqLtPpfLVdAjXqLvNUXsuxnCaLmKrAzMbzjzs0mwWFQuGuXbtKSkrUWywsLPCOXOXl5UVFRRwO58jR0FuJ54K/+zbx0CG0zHPcZ3D4f/xfjcb7pyrKx58VVxruHX1QoKtuNKunUCi++eaboqIihJBIJKqqqhobGwsICCgpKTl37tzdu3cRQgcPHsS7dOgzzTCEELK2ttZscAkICAgPD0cIYRhGpVL7+vri4uKuXLmSn5+PZ9yYmJiIiAjtF3s1VoShFUxNTS9cuIAQUiqVFAplYGAgOjo6Kyvr9u3bCQkJCKEzZ87ExsZqr7irxmazf//736t7/2AYZmJiojn41N3dHX93lEolmUxms9kRERE3bty4efMmfsnh4eF4kAJAyzYsDBUUFERGRkZGRuKfwrj3h6Fbt259//33ml+9Xl5eT548GRsbI5FI6E0Y2pA5YNattbUVv66UlBT+m8UjV4Sh5eXl77//Xv1brbu7+9tvvx3VmDXuzp07eO8NDw8PBoOBELKwsMDTkp4oLy/HLzM3N3dF44JKpfr66681G1aoVCqJRFIqlceOHXv8+DFCyN3dHe8ioGWpRV0/hJeZRFWaRFXuO11+5GrjuYcdljHkE7nN11/2y+S/aHqztbVVD+7FsxGFQkEI4f8ymUwbGxuZTBZ99uyxP/1/rENuFn/8jzNGB3hUCv6U0QcFA1mZOulDs1bffPONZu+ouro6Ozs7uVx+6tQp/G3y8vLKzc3VXQFXJSIqSjMMHT12TPOHloWFhea37NTUlKmp6eLiYnZ2Nv51Gx8f//7e4jr0/jBkYWGhmXU4HI6ZmRmXy83KysKDQnR09McMXNgkAwMD//7v/37w4EHNj3QfHx917T6GYQcOHND8yxwaGjIzM1teXr5y5UpSUhJC6NSpU/Hx8VouOQBos5vJyGTy999/rw5Dk5OTi4uv2y/m5+cNDQ01f+o9ePDA2dlZpVItLS3Z2NhMTEwUFBS4urrqYcO/UCjcs2fPs2c/z/2flJSk7sF65MgRPz8/dUfp8fFxIyMjfAqlsLCwvLy82dnZvXv36udwOYSQXC5XN/khhLKysgwMDGZmZvC7QqHQ0tIST34XL16MjY2VSCTGxsY6qegqqB4KzGywS6BYxpK9LtfW98wt8qXmZyuZgyubyRBCT58+tbS0FIlECKGrV6/u379fLBYjhKqrq6emphwdHfF6o+t5eS7//V+VBrt3/N//s7yi4heH0L8/RfTW+5Wdnb1792682xBCSCwW29jY4O2Dly9fjoyMlEqlJiYmetvOgsMkkkB7+8A348/5bczKu3cPGBtPTEwghCoqKrZt26aezAbDsICAADzplpaWenp6ymQyT0/PzRuHwe3sXHgzQ4Fkfn6aQl7T6rBhYWGaAxQ0377y8vJt27apR2OoVCofHx+8CrOoqMjb21smk7m7u+tblu3s7PzjH/+I/4jVRKPRjIyM5ufnEUJFRUU7duxQfwUolUpPT0880T58+NDPz08mkzk5OeGVlwBo2eaGITqdjv+mwe9SKBRbW9uQkJCQkBAHB4ecnBz1b4ilpSUHB4fKNwt35+XlGRkZWVhY6FVbkppIJLK0tNTsjSsUCmNjY728vIKCgo4ePcrhcNQPnTt37vTp0/jt7u5uKysrS0vL1NRUXQ0r+yCpVPrTTz/5+/uHhIQEBgb6+fmpJ8NECOXm5uID7BFCExMTeGev06dPSzRWqtJeUeVKsUx55nZrQEY9vhaHSKqo7pheEry7aRUfgh4SEuLl5dXe/nqBtoaGhrS0NE9PT6VSKV9aqgkP2/eHPxj+6b8d/vOPzOhImV524dckk8nCwsJ8fX1DQkKCgoJ8fHy6NBaQv3fvnoeHB/7HNjU15eLi4uDgcPz4cbF+T9OM8Xi+337jsWe3SiyapZDJ+w0Wq6qelZU5u7iEhIS4urpqfjLQ6XQbGxsej4cQEggER44cIZFInp6ec5u2aOvIw4LK/XvnGurly8tNwYcbfb3XNGN4VFSUZq1VYmKiu7s7/sHo6upaV1enfohKpdra2goEAoTQ8vLy4cOHSSSSt7e3vvU4jIiI+Od//mdPT8+wsDD8QtRziOC/ckNCQtzd3TUHjlRWVtrb2+M/Tng8np+fH4lE8vf3V6clALRpc8OQXC7n8Xjqqh2VSjU6Otrb29vb27ti4kG5XD7/y+Wyh4eHNacx1SsYhvF4vLc7M/X39/f29q7oc7OwsCDXaFuZn5/X/CGon7hcbl9fX29vb19fn+KX44kWFxc1v0eXl5fZbLZug93L5onH9JFV7jw8PNzb2yvUGKtFJpP7+/vxD+WFJkarv+9ka8vI5ORca2uLv89iczNCaIHROFf7+ttXyBkbf16yppqAzcbj8fD3q7e3d8Wf5dLSkkhjcTSBQMBms5V63/MJITTT1Un2cG/096GR7AbzcpFKhRCamJjo7e1dEQX4fL7mFA9yuZzNZovetSTcRsHk8v6rmTSSXaOfd6Ofj2CNH55CoVDzL1AkEg0MDOBvn7otHre8vKy5RSaTsdlsPQyyIpFobm5ucHCw943x8XH1oxwOp7e3d8XQ4BWXJpVK2Wy2Tn5TAYBgbbItRihR8LbcIqybraqqSv3liikUcp7G1yqPh/eYHim4X7lvzwytRjIzXXfIrelIsFL/vpC2ntG7d0r/9he6q5MevtqypaUaO5vnX37BKSr88N4AAP0GYWhLyXs1cCrvfYstgLetZtV6TKkczL1ZY2dd6+rcEvqT+E0PKrB5JspeVNtYdSdfbPDxYkaclOpT64lkdqYl7KdGf9+upPM1dtYzb3rZAwA+URCGtgihRDHHk6QWdQVlNUwviYUSnc2V98lZTRhCCImnJqlW5i++/vv4M/2dcGjLEE9O1ro4DVy/ihBaHhigkexG9WkVT3bODbqzo4jDQQj1pCbXexyUblr/JACAFkAY2iLukget48g2cWSLGLJFTNV96rCuS/TJWE0YEowMN3h7tIQd7UtPo1qZT5a/XP2irR+AYepF4xFCKrlczv/VtWaJA1Molvv61C+yiMORzOpRbZx4clL8ZryeSibTLCoA4FMEYWiLGJxaru6Yjrjd6nmptrxlcngavlBX68NhCMP6szIafb3xlpq+zPRGPx/pBg3nUUmlzNMn+zLTEUIqubzt9Mm+jLQNOTIAAIBVgjC0peRVErrPkEqFyde+xtlqaoakc3My9aoySqVonPP+/ddksuwFxdxk4Pq1znPxNbbWS79cyRism2xxUb3EG6ZUSmZn9HDSMgCAPoAwtKUIJQougUeTkdsnw282i2Rr6y+1yj5Dm2ry5Yvyndur9u/j6vGK65+cvswMRvBhPA91Jye1hB1VwshtAMC7QBgCW4FShUnlysf0YbeLNTNc8Zrqh3QehhRicdf5c9U2ltW2VoO38nRYki2Gzx6oPejKPHm858qlaiuLaYpeT7oNANAhCENgK6hqn3JOqnG6UG1xtsrxfHXW8zUsya7bMKQUi1lno6qtLXm9vbO06sr9ewdzb0Jv3I0iGB4mmxwo2/b1ZPnLD+8NACAqCENgKxiY5D+ij8Tktzmco958NdDQu4ZxzjoOQ1Lp8N07S2/WBpmufDVeUoKpoGvLBsCUyoHrV2scbGtdHNsiTsq4714xGgAAIAyBreN5E+dQKl0iX9taEzpvJgObAcMwds6Nqv0G842NIg6H7kxqPX5MsZYVxAAAxAFhCGwdXKFsZEagWmO1CoShrQnDZijkuTfrufLZbE5RoV6tKAcA0B8QhgDRQRgCAACCgzAEXpPJVV2j3C25zqtUruwaXeKJ3n1pehKGxFOTs7Rq/DamVE5TKNL5ed0WCQAACEKXYWh2dnZ0dHR0dHR6elqpXFs/j42FYZhcLtdhAfQBVyCzS6Aw+rbgEkvzy1LbeHIL+91zRutJGFpktlYZ7Ru6nadSKPoy0ihmJsv9fbouFAAAEIJuwpBcLr9586ajo2NgYGBgYODBgwdndLoMeE1NzTfffMPhbOS0wp8QmULFGl4it0/Zn6PeJQ92jCwp1j6P87pNL4mb+udlik05o1SuZA0vVrZN2idQ7lOHOkeXFMqVPYr0JAxhKtVk+csaB1tGYADd0WGWVoNgumQAANAK3YShuLg4Eok0+WalQy6Xq9LKxCrFxcXd75rh99ixY7/97W+zs7O1UAZNz5496+zs1PJJ3zbHk7on0+wSqKZRlVaxFM/LtdpsLHvVOul4vlosVQglCpFkbZNHf9D0ktj1Yo19AtU0usoqluxzpU4glgslCr7o54pAPQlDuNYT4SX/57874mN0XRAAACCQdYYhgUBw69Yt9VNKS0sbGhpW7INp0Nze2tq6Y8cOdRJSq62tbWxsxG/LZLKysrL5+XmEUE1Nzezs7KNHj9LS0paWlhgMxsTExMuXL5OTkycmJvBrSE5OTk5Orq+vV5+ir6+vuroa344fp7y8/PPPPyeRSMnJyYODg+rzjo+PW1paXr9+/dChQ5qtdZWVlfjTa2tr8S337t3Dt7DZbIQQj8dLT09PTk6uqqrCdxgaGnr+/Ln6ILW1tR0dHQghJpPZ19dHo9Hwp8/NzSGEKioq1OXBD6grcqVqZEbQ0DtnFUt+RBsZmxMqtTLPzfSSmNoxnV7S45JUU8mcDMioz6dscCKXK1QjM4K67lnLWPKT2tHJBRFC6Orz3pj7P6//pSdhSCkW92Wk0Uj2vZdTaxxsB3NvqgjfdAsAANqxzjAkkUjOnDljaWmJEGIymV9++SWDwVA/urCwcPz4cV8NZWVl6kevXbtmYWHx9jG9vb2PHDmC3+bxeD/++GNTUxNCyMrKyt/f/86dOyUlJQKBwNfX18nJ6c6dO4WFhQsLC3V1debm5vn5+Y8ePTIyMnr16hVCKCYm5osvvsD3OXr0qJ2dnUQiaW1t/eGHH8LCwoqKiqamptTnvXnzZnBwMELI0dGRRqPhG2/dumVsbFxYWFhYWNjdd3boowAAHZ9JREFU3a1UKk+ePOnu7o5vmZqampqasre3v3jxYmFhobOz8+XLlxFCBQUFO3fulLxZ/8jb2/v8+fMIobi4uM8///z27duFhYWhoaG2trZisRgvT2hoKH7A1b/4m4Qnkh2/2dw5or2J6SisKZt4iv05vEaK/OPxsqsv+uaXJfK1N5mJpIrJRdHbTWC4JYEsPKepe4wrkyvnlyUJD1ih2U1zPIlYqkB6E4Zm6TSqlflMNRUhNPG8tMbGcrG1VdeFAgAAQlh/M5lSqfT19Y2MjHR2dn748OHqnxgXF+fl5fX29pCQkFOnTuG3l5eXzc3NmUwmQsjExCQ+Pl69m7u7++HDh9V3vb29U1JS8NtpaWlGRkb4KUxMTPCNKpXK0NAQz2oeHh6lpaWaJ1UoFFZWVoWFhRKJJCIiIjw8HCE0Ozu7c+dO+psZShBC1dXVO3bsWFr6OSgkJye7ubnht7u6ugwNDZeXl58/f25sbCx9M5dJSEjIlStX8PIYGRnhNWQYhhkaGuIVaZ6eniUlJat/6bYYkVQxwxU/oo/sPvHSOo5sFl1pE0+xO0dpH1pc66Fqu2bdkmkfXKT2elmfTRzZOo5sGUO2jKkqbhhDehOG5DweX6OCkN/fBzMEAgCAdnxUnyEul/tP//RPBw8eXLFdLBaTyeQXGjSbpS5evGhqavr20TTDkEAgsLS0xMOQvb19RUWFejcfH5+8vDz8tkQiMTAwsLW1xeufnJ2dvb29EUKxsbFnz57F98EwzNraGm/JcnV1XZHb2tvbv/jiCw8PD19fX3t7+6+//lokErW2tn777beLiz9/JaelpVlbW2s+0d3dPSbmdceOpaWl7du3s1is8vJyzTAUGhqKh6HY2NioqCj1c21sbCorKxFCbm5uDx48+PUXmBCYgwtn7rRWtE56XaqNvMOksKYW+WuYGU8kUYzNCh7TRxzPV7eyF2a571uWvJfDo7CmwnOa/dLqK1onxuYESG/CEAAAAF35qDB0+/btv/71r0ZGRtPT05rbeTxeRkbGeQ3q3jwIoZaWlu3bt789fCwoKEidGLhcrqGhYVtbG0KIRCJphiFfX99bt27htwUCgaGhIZlMRghpdveJiYlRJxWlUmllZUWhUBBCLi4uRUVFmic9ceLE+fPnMQxTKpUqlcrNza2kpGRoaGjbtm2aF5Wbm6uuasIFBAScOHFCXdoff/yRzWa/ePHCzMxM3Rncx8dHXTMUHR2Nb1SpVNbW1niZXV1dCwsL3/saE0j4zeY7VYMf3u+X6N2zlrFVtgkU0+gq87NVsffbP/iUzNLe6Hy96zMEAABAV9YfhhgMxq5duwYHB7OyslxcXKSrnucew7CAgABHR0c+n6+5PSUlxdnZGb+dk5Pzr//6rz09PQghW1tbzS5Hnp6eOTk56kPFx8c7Ojqq8wePx0MIRUVFRUZG4luUSqWpqSleM2Rvb5+enq4+1OzsrIGBQUtLi3rLjRs3Dh06hGGYg4NDcnKyevvQ0NDOnTvxBIOft6ysbO/evfjpbt++bWVlpVQq29raduzYgee8/v7+3//+95mZmQihs2fPRkRE4M9VqVRmZmZ4zRCJREpLS1vl67blLQlkgrWPJlvgS5vZCznlA7YJlLKW8YHJ5Q8+hS+WazaoQRgCAACCW2cYmpqasra2vn37NkJIJpO5uLikpqau/ukCgSAqKopEIgUHBwcHB+PhZnZ21tXV1dfXNzg4OCYmxtzcHB8G7+XlpU4hCKGjR4/ev39ffVcoFCYmJh48eDA4ONjf3z8/Px8hdPHixQsXLuA7KJVKV1fX6upqhNDLly937doVHByMD2h/8uQJiURSKH7+Ah4eHjYyMhodHR0eHnZ0dMSLh1feVFdXW1paBgcHBwYG4vkpNzfX2dk5ODjYw8Ojvb0dP1diYqK5uTl+CS4uLniLXnJycmJiIn4KvP6JSqUihMrLy/Hy4IPOwLo19s0FZDYs/8oc0+8HYQgAAAhunWFIJpNpfn9IpVJ8uPiajI2NsdlsNputbpCSy+VDQ0NsNlulUqlUKjymCIVCzemhRSKRTLbyO29kZITNZg8ODgoEAoSQRCJRD+lacYS5uTk2my0UCvFDiUSiFYfi8/l4LZdEIsGLp+43vbi4iJ9F/SwOh8Nms8Vi8dvXhdd74cVYZXnAuimUKqFEga1rlsItHIawXw7Oh7H6AADwTrA2Gfg0PGeM36wY2Iwjb9UwhCmVPZdS2DdfTyU6cP1a75XLmFZmNwUAgE8LhCHwabhS3B1yrXEzjrxVwxBCiPPsaZWR4XD+3eE7t6uMDCeel374OQAAQDwQhoC+K2VwTuS2HEqlkxKrw3OayW0bPEHlFg5DCKHJ8peVBrsrDXZPVVbquiwAAKCnIAwBfVfeOhFXwPK+XOd0oTrqLpPWucFr+m7tMDScf49svJ9icmDkwf0P7w0AAIQEYQisgQrD+ieW53jvm9hwk6QWdQVlrVz/bkNs1TCkUijYOTeq9htMk6umK19VGu4dzMvFFBu8FC4AAGwBWycMKRSKt0eZgQ3nkUp/XDui/fN2j3Eb+9Y8YnE1tmwYkskGrl+beP4cvzte8oydfR0GlAEAwNv0OgzJ5fKKioq8vLycnJybN2/29fW9Z+eHDx/iK4uBzYBhqG+c1zww755MS3vW0zG8KJJukTqGrRqGAAAArJJeh6GZmZmvvvoqJiYmOzs7NTX1u+++w+cqfKebN296eHhosXTEolCqgq822sRRzKKrrGMp9ueo7FXM9fxJ0GYYUgj4wpFh9V3B8BCsxgoAADqn12FocnLS1NRUvYpZRESEu7v7r+1869YtX19fbRWNcDAMjc4KOke4zhdq0kp6Bqf4Ernyw0/7FGgzDC21Mak2lpMV5QihyfKX1TYWS21M7ZwaAADAr/kEwpD6iyooKAhf1l4sFp8+fdrHx8fPz+/06dP49M2aYejq1auHDh3y8/Pz8vLicDgIocHBwfj4+NLS0sDAQG9v78jISPWU0Pfu3XN1dfXz80tMTJTL5RKJJDMz08/P79ChQ9evX1fBJHW/FHmX+Yo5qetSbKR3hiGlRMLt7FB3N+YPDIinNuCqlRIJO/t6jb1Nz6WUGnvbgezrSokOeqMDAADQpNdhaG5ubufOnUeOHImNjY2IiDh58uTk5CRCiM/nNzQ0yGQypVLp7e2dlJSENMIQhmENDQ2Li4tKpTI9PR2vTOrp6fnDH/6QkJDA5XJnZmaMjY2zs7MRQo8fP96zZ09PT8/S0hK+gEZSUpK/v79SqVxYWHBwcMAXOwNq61rxQq+9MwyJZ2ZozqSey6kIoYXmZoq5yUTps406Y1vk6ZK//Hdb5OmNOiAAAICPoddhaGZmZs+ePbm5ua9evaqoqAgODs7OzsbXnxIKha9evSovL/fz8wsNDUUI3b59W7OZjEKhlJeXJycnm5mZIYS6urp27tw5NjaGP5qZmRkcHIwQsrKywlMRTigUGhgYJCcnl5eXv3r1ytPT09DQUJuXDLTvnWEIw7CZamqNvU171JlaF6fui0nKt5axW5/pylc0R4em4ECak8NUZcWGHBMAAMDH0OswNDU1ZWJiMjExgd999uzZF198IRaLyWSylZVVREREQkKCqakp3namDkN9fX2HDh3y8fFJSEjw8fGxsLBACHV2dlpZWXG5XPxQGRkZR44cQQjt3r27pKREfcbJycnt27efPHkyISEhISHhwoULxcXFWr5qoGXv6TM0eDOn9Iv/U3fITbVB0/MsMplkkwPsnGyVXM7OuUExNVpsbd2QIwMAAFi3TyAMDQ+/Hn1TV1e3bds2Ho9nbGx848YNfOPFixfVNUN+fn4IobCwMC8vL/xROp1uaWmJEOrs7LSwsFhcXMS3p6en42HIwcEhPT1dfcaFhQUDAwMmE/q0EsivhaG5hnq6M6n1+DG6i2NfZrpSKv34c4knJ6cqX71ua8Sw6cpX4skt1QELAAA+RXodhvB6moqKiqGhoZ6eHhMTk7i4OAzDHBwczp49OzQ0RKVS/+M//gNv8Lpx44aLiwtCKCEhwc7ObmRkpL29fe/evdu3b0cItbe379mzZ2FhAT/yxYsX8XH4FRUVP/74I51OHxoaGhwcRAjdvHnTzMysra1taGios7Ozo6NDZ9cPtOKdYUg0MU4j2XedT8SUyrlaOtn0AKewUCfFAwAAsNn0OgwJhcKTJ08GBAQEBQUFBgYmJSUplUqE0OjoaHBwcFBQ0KVLlx4+fPjw4UOEEI1Gw3v/SCSSmJiYoKCgiIiIZ8+eXb16FSHE4XCSk5MFb+Z0wedyxG+XlZX5+voGBQUlJSXJ5XJ8C37Sw4cP19TU6OLSgfa8MwwpRKK52lp1bdBSG1Ogf/9BAAAAbAi9DkMArAmjfy7tWY9Itrb+PTADNQAAEByEIbB1PGsYdbpQLYYwBAAAYC0gDIGtgNE/d/pWy+HMBps4SnhO8yPayOqfC2EIAAAIDsIQ2AqaBhZi7rcFZTXaxFNO5rUW1Y2u/rkQhgAAgOAgDIGto6huhJRI5Uvka3oWhCEAACA4CENg6xidFVBYUwrl2paTgzAEAAAEB2EIEMjYnLBzdEn1y/XVIAwBAADBQRgC+kiuUPHFctVGrwqbUz4QkFG/YiOEIQAAIDgIQ0Af1ffM+aXXLwlez3k4PT2dnZ195Y36+teBpqenJy0trbq6Wv1EFovFYDDePuDYnKCuezauoN37cl11x/TorED9EIQhAAAgOAhDQL/IFCquQFbK4JDOV/dP8AQSOULo8ePHf/3rX+/fv19QUFBQUMBisRBC8/PzTk5OcXFxFhYWDQ0NCKGlpSVTU9OKincsBX+PMmQVS7aOo5ifJZudrbpdxVY/BGEIAAAIDsIQ0C91PbP25yikRKpZdJVNPCXxEQshdOPGdXd39xV7lpWVHTp0CCF07dq12NhYhFBGRga+WO/buALZxLzo4pMuz0u17MllnlCmfgjCEAAAEByEIaBfppbEFczJK8U9tgmUguqh1sFFhFBCQkJYWNiKPQsKCgIDAxFC+fn5ERERPB7PxcVlfHz8PQcvZXBSirpWbIQwBAAABAdhCOij1qFl/6xmifL13YSEBENDw5iYmJiYmOzsbJVKhRCqq6s7fPgwQignJyc9Pf3y5cuJiYnPnj2LiIjo6OhY/bmoVCqXy92Ei1gP2dKi+racz0dSiQ4LAwAABKGDMMTlcru6uroB+BU93d29A4Od/aNT09MTExPd3d10Ov3hw4e5ubm3bt3atWsXiUTq6OhgMBgmJiZxcXGGhoYXLlwwNTWNjo7et29fcHCwgYFBY2NjX1/fyiP3dPf09HR3v/4X9+jRo4aGBm1e4Lv19LTX1lYfchu4c4s9OjrW0cHw96m/crlLo6ibePLe3qHh4f7Bwe7u7p6+vsHhkf6B/m6tnBoQRGdn5+joGqaGB0CbdBCG5ufnGQxGU1NTMwC/4siR4P/33//3//pf/8++ffsaGxvb29vxz9Pe3l46nf5f//VfV65c6ejooFKpaWlpJSUl9vb258+f9/f3j4+P7+npOXDgQHx8PJPJXM258vPzKRTKZl/RBzU1N7c0NXXn3nxleuBxcGCxnU3TYf8uOr2ppUULZ6+tKC9wdqy8mcPs6mqsrXvocfBlSjL8FwUbiMFg9PX1aedbBoC1gmYyoI/u3r1rbm5ubm5+6tSptx/dvn17UVGR+u7Q0JCtra1UKo2IiMC3e3t7FxQUrPJc1dXVPB5vQ4q9IYZu5ZF3bq93dZItLn54742iUvXEnm065Cbq7hrOSKu3sxb39Gjv7AAAoFMQhoAeUaqwrOe9td2/6M6sVCoFgp+nBSovL//mm2/6+/vVWzw8PO7du4cQio2NTUtLQwhZWlqWlZWt8qR61YFaPDXZ/NMRmqNDjYMtp7jow0/YOCqZrCMu5tWeH2gOtrxeSEIAAAKBMAT0i3tyTUHNsOYWsVgcFhZ29uzZpKSkhIQEe3v7Fy9eqB998OCBhYWFTCZDCHV0dJibmwcEBBw8eHBpaWmVZ9SfMCRbXGzw9W7085FMT3OKiyr37Rkveaa1s2MKRdeFxIpdO+hODnw2+8NPAACArQLCENALShWWXtITeafVNoHil95wNr9tYkGkfrS7u7u4uPjp06cVZaW8xV8El76+vpGREfXdnp6ekpKS+fn51Z9af8KQfHl5+O5d8eQkfnfieel8fZ12Tq0QCllno2psbebq6jrPxVOtzBfbmNo5NQAA6ByEIaAXlCos83lv1F2mbTzFP70+voClGYbUOscljf0bPAxe+2GI29k5kH1dKZEghKRzs/1ZmaKJ902PpAWS+XlWzNnFlhaEkEIk7kyImygt0W2RAABAayAMAT2iVGEuSTV3Kb/6pxh7v/30rdaNPakOwlBXJ8XMuOv8OSGH0/zTkVoXJ3VtkDYt9/dzO1j4bQWfP1NTjalUrx/DMLTRq+QCAIDegjAE9AiGEJU1xZ7iv/1QbffM7Sp2QEa9b1p9XiW7d3zDxn/ppJmM291Nd3WimBszAvzEU1NaPjtu9OGDKiPDhaYmpVjMPH6swcdLzl/WSUkAAEC3IAyBT8ONl/0el+h2CVTbBIp7Mo3cvmEBQidhSCESMQ77vfjH39tjohHSTR2MSirrTbtMc3JoOhJY5+HO6+7WSTEAAEDnIAyBT4NMoZLKlRG3mcdymsVShVK1YQFC+2FIPDnJCPBr9PedfFlGc3Joj46UL+umSka+vEwj2T3/2+ejjx/ppAAAAKAPIAyBT0lZ8/izBs7GHlP7YWiGSmEc9heNjSGEFltbGP6+vK6Vy8dqgWxpsS3iVIOXR0d8LI1kO0uv0X4ZAABAH0AYAkSn/TCEyeUK0c9j5eR8vk56Kw/m5dbY2eBTCnVfvFDn7irRjykGAABAyyAMAaLTn3mGtEzE4QjfTNGklEq5HR2YQqHTEgEAgG5AGAJER9gwBAAAAAdhCBAdhCEAACA4CEOA6CAMAQAAwUEYAkQHYQgAAAgOwhAgOghDAABAcBCGANFBGAIAAIKDMAT01+isoLpjWqZQfXjXjwBhCAAACA7CENBfpYwxx/PVG7jyxjtBGAIAAIKDMAT0EWdeWNE6ceFxh9P56ke0kbbBhc07F4QhAAAgOAhDQB89a+T8eKLMNoFqEUO2TaBklvZu3rkgDAEAAMFBGAL6iN41432lNut5r+el2uEZgVC6ictEQBgCAACCgzAE9MuySNbD4d6nDnleqr30tOtEbrMcOlADAADYTBCGgH6hd89YxlbZxlNMoiqt48hJjzs3+4wQhgAAgOAgDAH9whPJeji821WDtvGU6o5pzpxws88IYQgAAAgOwhDQR80D80dvMJZFMi2cC8IQAAAQHIQhoI9UGKbY7PmF3oAwBAAABAdhCBAdhCEAACA4CEOA6CAMAQAAwUEYAkQHYQgAAAgOwhAgOghDAABAcBCGANFBGAIAAIKDMASIDsIQAAAQHIQhQHQQhgAAgOAgDAGigzAEAAAEB2EIEB2EIQAAIDgIQ4DoIAwBAADBQRgCRAdhCAAACA7CECA6CEMAAEBwEIYAUahUmEj6juVfIQwBAADBQRgCRDE6K/C5Usee5K/YDmEIAAAIDsIQ2PqUKkwgljMHF23iKYy+eaFEofkohCEAACA4CENg6xue5rsl01ySqk2jKx3OUcOym+QKlfpRCEMAAEBwEIbA1scTysqaJ25WDFjFkq++6KvumFZp9ByCMAQAAAQHYQgQxciMwPF89cDE8ortEIYAAIDgIAwBopApVBPzIqlcuWI7hCEAACA4CEOA6CAMAQAAwUEYAkS3YWFo5QRGK+8DAADQTxCGANFtSBiSzM22R0cutLQghJQiUWdiwjS5ciNKBwAAYNNBGAJEtyFhSCEUtkdF1DjYzjXUd56Lo1pZcDs7N6R4AAAANhuEIUB0G9VMhikUnefiK37YSSPZCwYHP/6AAAAAtAPCECC6jQpDSom0Iz721Z5dNCeH5d7ejz8gAAAA7YAwBIhuQ8KQnL/MPHWC5mC30NzclXSeYmG62NqyIcUDAACw2SAMAaLbkDAknppsj45cYrEQQkqJpOvihamXZRtROgAAAJsOwhAgug3rM6SCsfQAAPBJgjAEiA4mXQQAAIKDMASIDsIQAAAQHIShDbYskoukCl2XAqwBhCEAACA4CEMb7PStltzKAV2XAqwBhCEAACA4CEMbhieUzS9LgrIaUou65pclMoVK1yUCqwJhCAAACA7C0IaJusu0S6BYxFTZxFFsEyjMwQVdlwisCoQhAAAgOAhDG6aVvVDVNuWZWnv6ViuZNbWwLNV1icCqQBgCAACCgzC0wU7mteS+gj5DnxIIQwAAQHAQhjYYVyATiOW6LgVYAwhDAABAcBCGANFBGAIAAIKDMASIDsIQAAAQHIQhQHQQhgAAgOAgDAGigzAEAAAEB2EIEB2EIQAAIDgIQ4DoIAwBAADBQRgCRAdhCAAACA7CECA6CEMAAEBwEIaAPnr+/PnIyIjmFi6Xm5eXl5OTw2Kx1BuHh4fz8vKam5vVWwYGBtrb29d0LghDAABAcBCGgH6ZmJjw8vL6zW9+c/36dfXG0dFREokUFRWVnZ1tb2//4sULhNDS0pK7u/uJEyfMzc1bW1sRQnw+39LS8vnz52s6I4QhAAAgOAhDQI/w+XwSiRQeHm5ra5uVlaXeHh4eHhAQgN8uLS398ccf+Xw+mUx2d3dHCGVkZMTHxyOEbty44eHhsdaTQhgCAACCgzAE9IhcLh8cHEQIubi4pKWl4RsVCoWhoeGjR4/wuxKJ5Mcff2xoaCgtLT18+DBCKD8///Tp00Kh0NXVdR1/xhCGAACA4CAMAX3k5OR09epV/DaXy/3mm2/q6urUjxobGxcUFHR0dAQGBiKEcnNzr1y5kpWVFRcXV1lZmZCQwGazV38uKpW6tLS0seUHAADwCdFBGOLz+Ww2exCAwcGxsbHl5eXl5WUejzc6OqrebmpqGh0dPTw8PDQ0RKPR/u3f/q2goGB4eBh/dNu2badOnRoYGDAxMbl8+bKxsXFKSoqFhUV8fLyhoaGPj4+xsTGLxVLv/34FBQVNTU2bcnkAgDcGBgYmJye18y0DwFoNaj8Mzc7O1tbW1gFQV5ednf3nP//5T3/609///vcHDx7U1dXV19fX19cbGBiEhoY2NjY2NDSUlZX95S9/ycjIYDAY9fX1dXV127dvP3nyJJPJLC0tjY+Pz8/Pd3BwiI6O9vHxiYqKYrFYBgYGsbGxDAbj186LHwfX2NioeRcAsBnodHpXVxeGYdr5ogFgTXQQhgBQY7FYO3fu3Llz5759+zgcjnq7s7PztWvX1HcNDQ2Li4vVd3fv3k2hUNR3Jycnra2tRSLRmTNnioqKEELe3t4FBQVauQIAAACfPAhDQB+RSKT09HT13YSEBH9/f/x2cXHxrl27uFyu+lE/P7+cnByEUHR0ND4GzdraurS0VLtFBgAA8KmCMAT0kbm5eUpKivoul8sNDg4+ffp0Zmamvb39kydP1A8VFhYaGxuLxWKEUEtLi5mZWVhYmJOT0/z8vA7KDQAA4BMEYQjoIyaTOTo6qrlFKpU+ePDgzp07PT09mttZLFZvb6/6bktLS35+/sTEhJYKCgAA4NMHYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIQGYQgAAAAAhAZhCAAAAACEBmEIAAAAAIT2cxgaHx/XdWEAAAAAALSNw+FER0f/Ji4urra2dggAAAAAgGDodHpsbOxv0tPTY2NjowEAAAAACCY2NjYlJeX/BwoG2Xf0IgkFAAAAAElFTkSuQmCC" 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" width="400" /></a></div>
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This graph very clearly shows no correlation between surpluses and RGDP growth. This is exactly as the above argument suggests it should be. Saving in a foreign currency does not help your growth at all.<br />
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This is really the main point I am trying to make - that for Germany to run a deficit will not hurt their economic growth at all, just spend some of the many claims that they have on the rest of the world.<br />
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<b>An (I think) interesting aside </b><br />
<b> </b> <br />
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You can stop reading now, unless you, like me, are interested in the interaction between the current account and both private and public sector debt.<br />
<br />
An interesting feature of this graph is that it shows that higher deficits are correlated with higher economic growth. This would seem counter-intuitive because a deficit means that demand is taken from the domestic economy. Here, one probably needs to look at the line of causation. A booming economy will be more likely to receive investments from abroad and will pay higher returns on that investment. This means a large current account deficit. The effect of this confidence could well outweigh the negative demand impacts.<br />
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Looking at private sector credit growth gives more explanation. Here the same is plotted but on the y-axis is the change in private sector debt year on year, divided by GDP.<br />
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" 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" width="400" /> </a></div>
<br />
<br />
The higher deficit countries have the highest increase in private sector debt to GDP too. This is both a symptom of the confidence in the economy (/bubble) and a cause of greater GDP growth despite the deficit.<br />
<br />
There also appears to be higher creation of private sector debt to GDP in the large surplus countries. Here it may be something about the investment led growth model being followed, and much of the increase may be for investment rather than bubble building or consumption.<br />
<br />
For completeness, it is also interesting to look at how the current account balance affects public sector debt to GDP.<br />
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<img alt="" height="261" 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" width="400" /> </div>
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On the positive side of the graph, as one would expect given a current account surplus and higher private sector debt creation, we see a declining government deficit. More interesting is the negative side, which shows that government deficit actually reduces with a higher current account deficit. This could be due to the higher confidence and higher private sector debt creation that goes hand in hand with the type of high confidence (arguably misplaced) economy that runs large current account deficits.<br />
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com6tag:blogger.com,1999:blog-1513588060557517621.post-14178208164156359222016-03-31T15:38:00.005+02:002016-04-04T23:27:28.468+02:00A plan to turn the Euro from zero to hero<div dir="ltr" style="text-align: left;" trbidi="on">
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(this post is available in full as a guest post on Frances Coppola's excellent blog
<a href="http://www.coppolacomment.com/2016/03/a-three-point-plan-to-avert-disaster-in.html" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'CC_start'])" >Coppola Comment</a>)<br />
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It is difficult to read the history of inter-war Europe and the US without feeling a deep sense of foreboding about the future of the Eurozone. What is the Eurozone if not a new gold standard, lacking even the flexibility to readjust the peg? For the war reparations demanded at Versailles, or the war debts owed by France and the UK to the US, we see the huge debts owed by the South of Europe to the North, particularly Germany.</div>
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The growth model of the Eurozone now <a href="http://www.notesonthenextbust.com/2015/07/a-union-of-deflation-and-unemployment.html" target="_blank">appears to be based</a> largely on running a current account surplus. Competitive devaluation is required to make exports relatively cheap. While this may have been a very successful policy for Germany during a period of high economic growth in the rest of the world, it cannot work in the beggar-thy-neighbour demand-starved world economy of today. </div>
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As I've <a href="http://www.notesonthenextbust.com/2015/06/the-government-must-run-deficits-even.html" target="_blank">explained elsewhere</a>, reasonably large government deficits are very important for sustainable economic growth. However, in the Eurozone this is prohibited both by the Stability and Growth Pact (SGP) and by the fear of losing market confidence in the national debt. At the same time credit growth for productive investment is constrained by weak banks and Basel regulation. And the Eurozone as a whole is already running a large current account surplus; the rest of the world will not allow much more export-led growth. Helicopter money would be a solution, but politically this is a long way away. Summing up, if economic growth cannot be funded by government deficits, private sector debt, export growth or helicopter money it is very difficult to see where nominal GDP growth can come from.</div>
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In a way, this can be seen as a <a href="https://en.wikipedia.org/wiki/Prisoner%27s_dilemma" target="_blank">Prisoner’s Dilemma</a>. Every country knows (or should know) that if all states provided fiscal stimulus, the Eurozone would benefit from more economic growth. However, for any individual state, a unilateral fiscal boost would increase their own government debt whilst giving a fair amount of the GDP growth to other states (because some of the stimulus would go to increasing imports from the other nations). And if all others provide stimulus, then it is in an individual state’s interest to take the benefit of the other states’ stimulus, and become more competitive versus the rest.</div>
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The huge imbalances created by the fixed exchange rate system, described in <a href="http://blog.mpettis.com/2015/02/syriza-and-the-french-indemnity-of-1871-73/" target="_blank">this great piece</a> by Michael Pettis, are still there. The enormous current account surplus built up by Germany makes it extremely difficult for the less competitive countries to run a current account surplus. The only way for this to happen, without German inflation, is by internal devaluation; a long and painful process to lower wages, which may succeed in achieving a current account surplus, but only at the expense of shrinking the economy. The debt owed to the creditor nations therefore gets larger in real terms. In the end, the debts owed by the South to the North are unpayable without the Northern countries running a current account deficit and using the savings built up during the amassing of the surplus to buy goods from the South. But the Northern surpluses are only getting bigger. </div>
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On top of this, all countries in the Eurozone are committing the "<a href="https://en.wikipedia.org/wiki/Original_sin_(economics)" target="_blank">original sin</a>" of borrowing in a foreign currency. This can only be a time bomb, waiting to devastate Europe.<br />
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Read the rest of this post on <a href="http://www.coppolacomment.com/2016/03/a-three-point-plan-to-avert-disaster-in.html" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'CC_end'])">Coppola Comment </a></div>
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com0tag:blogger.com,1999:blog-1513588060557517621.post-57582042991459946942016-03-02T10:41:00.000+01:002016-03-09T15:03:56.294+01:00The Economy Simply Explained<div dir="ltr" style="text-align: left;" trbidi="on">
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Sometimes my friends tell me that they try to read them, but my posts are too complicated. I am using jargon that they don't understand and probably they are too long and confusingly written. To remedy this, I have decided to try to write a simplified version of <a href="http://www.notesonthenextbust.com/2015/06/the-government-must-run-deficits-even.html">this piece</a> I wrote about how the economy works.<br />
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<b>How can one picture the economy? </b>The economy should be viewed as a flow of money. This may seem straightforward, but mainstream economic models do not include money at all.<b> </b>And yet, a lot of the workings of the economy can be understood by looking at who receives money and how much of it they spend.<br />
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<b> </b>If everyone is working and producing goods and services, then people need to buy these goods and services. In order for people to buy these products they need to have enough money.<br />
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Money received by people for producing things is then spent by these people on more things. This cycle repeats itself and makes the economy run. <br />
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<b>What if people don't have enough money? </b>They can't buy the goods and services. In a perfect world, the price of everything would go down so that all of what is produced can be bought. Unfortunately, in reality this is not the case.<br />
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<b>Why can't prices go down very easily? </b>The reason that prices can't adjust very easily to not enough money is that people's wages tend not to go down. This is called 'stickiness of wages'. Because people generally don't like having pay cuts, producers can't reduce prices or they will be making goods at a loss.<br />
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<b>If they can't reduce prices, what do they do? </b>Instead they cut production and make people unemployed. This then, in turn, reduces the amount of money that people have to buy things. Leading to further job losses.<br />
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<b>Eventually what would happen? </b>Without any government intervention, in the end prices and wages would fall enough so that everyone could have a job again. But it is a long and painful process. It is much better to ensure that the correct amount of money is running therough the system.<br />
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<b>How much money is the correct amount? </b>A generally accepted nominal GDP growth target is 5% per year. This means that in total 5% more value in goods and services are produced each year. Some of this increase is due to inflation - one pays more for the same number of goods. And some of this is growth - more goods are produced.<br />
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If too much money is spent then we get more inflation. That is to say that the growth in production of goods can't keep up with the rise in amount of money spent. Consequently prices go up.<br />
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<b>But if 5% more £ worth of goods and services are produced, doesn't that mean that people need to spend 5% more money each year than the year before? </b>Exactly. Every year, for the economy to be healthy, 5% more money needs to be spent than the year before.<br />
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<b>Where does this extra money come from? </b>This is a very good question. And it is one that seems to be ignored by most economists.<br />
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The problem we have with the economy today is that actually it is being drained of money. If £1m of goods are produced and sold, then in the next year only approximately £970,000 will be spent. People are saving the other £30,000.<br />
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To be more exact, the gap between the amount people are saving and the amount of people's savings from previous years that they are spending comes to 3%, maybe even 4%, of GDP. <br />
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<b>Why is this gap so large? </b>There are a number of reasons but it mainly has to do with the difference in spending of the people who receive the money. Working people on low and medium incomes tend to spend most of the money they receive. But savers receiving interest and dividends spend less of it in the economy.<br />
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Private sector debt in the economy has increased hugely over the past 40 years, meaning more money goes to interest payments. And corporate profits as a percentage of GDP are at record highs. Meaning that workers receive less of the money from their work than they used to. And because of this, less money is spent.<br />
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On top of this, widening inequality means more income goes to richer people, who tend to have a higher saving rate than poorer people.<br />
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In the UK and US there is also a trade deficit - meaning that more money spent by people in the UK and US goes to other countries. <br />
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Currently, the average annual saving rate in the UK is probably 3-4%. The exact figure each year depends on how confident people are in the economy. 20 years ago, the average saving rate was probably only around 2-3%, and 40 years ago it would have been closer to 1-2%. These are approximate guesses but it shows the problem caused by the financialised economy we live in today.<br />
<br />
<b>So that means we need to send a lot more money through the economy every year? </b>That's right. If we have a 3% saving rate, and we are looking to achieve a 5% nominal increase in GDP each year, we need people to spend an extra 8% of GDP worth of money each year.<br />
<br />
<b>So, again, where does this money come from? </b>Historically it has come from two places.<br />
<br />
First, governments normally run deficits of on average 4-5% per year. The multiplier of this on GDP (ie. how much of this gets spent on GDP additive goods and services) is approximately 1. So around two thirds of the historical gap comes from government deficits.<br />
<br />
Second, private sector debt has increased year on year.This consists of, for example, money borrowed by individuals for mortgages or credit cards, and by companies for investment or to buy back shares. This has grown by 10% of GDP per year since the 1970s. Effectively 10% of GDP more money has been printed by banks and corporations every year.<br />
<br />
However the private sector debt is not as efficient at getting people to actually spend the money. Much less of it is spent on GDP. So the increase in private sector debt, despite being twice as large, makes up about a third of the new money spent every year.<br />
<br />
<b>Why is the economy struggling at the moment? </b>Because private sector debt has hit such high levels. This means that interest rates are low, and that makes house prices very high. Because many people can not buy homes any more they do not take out more mortgages. Because the economy is not growing so much, companies want to borrow less. So we do not have the new money coming in from new private sector debt.<br />
<br />
<b>So what has the government done? </b>Central banks have tried to do what they can to make more money be spent. They have enacted a policy called Quantitative Easing which prints new money and uses it to buy bonds. This pushes down long term interest rates and pushes up the prices of assets (like shares and houses). This makes (generally) richer people even richer and encourages them to spend more.<br />
<br />
Our elected government has been working against this though, cutting money from poorer people who spend more, and trying to get the government deficit to zero.<br />
<br />
<b>Can the government cut the deficit to zero?</b> No. Or they can, but if they did they would shrink the economy so much that the debt to GDP ratio of the government would rise hugely. This is because, as mentioned above, there is not enough other new money flowing through the economy.<br />
<br />
In fact, austerity, if anything increases the government debt to GDP ratio as a) GDP does not rise as much as it could and b) private debt rises instead making financial crises more likely.<br />
<br />
<b>What is the effect of their attempts so far?</b> Economic growth since 2008 has slowed hugely. As I discuss <a href="http://www.notesonthenextbust.com/2015/06/the-uk-employment-miracle.html">here</a>, government policies to push the unemployed into low paying work has reduced the number unemployed, but the economy is not healthy. The graph below (taken from <a href="http://election2015.ifs.org.uk/growth-and-investment">here</a>) shows what has happened to productivity per hour worked in the UK. Historically this has grown by 2-3% per year, but since 2008 it has not grown at all. The low wage austerity economy has meant that increases in employment are in more menial rather than more productive labour. This is not to mention the human cost of austerity.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHziwiHsTjfosuKPsrOReWnVIVg-76nKhKQDwlcsvh5fHlFYx6HiC8WOTwPu_6urzQMMucuIk2nKe9akZzvme2qFrAvzs-qhAE7lwlEeJ3XWhsEfTZDMA6uyufuXP5rv5yB8S1CSqihP4c/s1600/growth_fig1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="210" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHziwiHsTjfosuKPsrOReWnVIVg-76nKhKQDwlcsvh5fHlFYx6HiC8WOTwPu_6urzQMMucuIk2nKe9akZzvme2qFrAvzs-qhAE7lwlEeJ3XWhsEfTZDMA6uyufuXP5rv5yB8S1CSqihP4c/s400/growth_fig1.jpg" width="400" /></a></div>
<b></b> <br />
<br />
Also, by using lower interest rates instead of government debt to get the economy going, the government has pushed house prices up even further out of the reach of most of the population.<br />
<br />
<b>So the money to grow the economy must come from the government? </b>YES.<br />
<br />
The government must run larger deficits. As shown in my <a href="http://www.notesonthenextbust.com/2016/02/why-it-is-so-important-to-use.html">last post</a>,by spending more money we get three beneficial impacts:<br />
<ol style="text-align: left;">
<li>The economy grows much faster, meaning more and higher paid, better jobs. Productivity (which has stagnated in the UK's low wage austerity economy) will increase and the country will produce a lot more.</li>
<li>Interest rates will be able to rise, meaning private sector debt levels will fall. This makes economic crises far less likely.</li>
<li>Government debt to GDP actually will probably end up being lower - as although debt rises, GDP rises by just as much, and we don't get debt crises. </li>
</ol>
<div>
<br /></div>
<div>
<span style="font-weight: bold;">But if the government spends too much money won't it go bankrupt? </span>No. At least not in countries where the government has control of its own currency and borrows in that currency. In the UK, the Bank of England could print money to buy government bonds if there were ever the need. The Eurozone is a different story. For this reason, the Eurozone <a href="http://www.notesonthenextbust.com/2015/07/a-union-of-deflation-and-unemployment.html">will suffer from permanently low growth (probably ending with a disastrous crisis)</a>.</div>
<div>
<b><br /></b></div>
<div>
<b>But if we print money we'll end up like Zimbabwe won't we</b><span style="font-weight: bold;">?</span><span style="font-weight: bold;"> </span>No again. Inflation is created when money is spent. If we are going to have inflation it will be at the time the debt is taken out. If the central bank swaps newly printed money for government bonds at a later date, then all that happens is that people in the future will have their savings in cash rather than government bonds.</div>
<div>
<br /></div>
<div>
<b>Doesn't the government borrowing more money now steal from our children? </b>No. It does affect how future prosperity is distributed. But if you think about it, the way to give a prosperous future to our children is to invest in our productive capacity now so that the economy they inherit is blooming. The only way we steal from them is by penny pinching now and not investing. And of course destroying the environment, but I'll leave that lesson to Leonardo DiCaprio.</div>
<div>
<span style="font-weight: bold;"><br /></span></div>
<b>I understand it all now, thank you Ari. </b>You're welcome, my imaginary friend. <br />
<br />
<br /></div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com14tag:blogger.com,1999:blog-1513588060557517621.post-36694655949155286502016-02-25T14:45:00.000+01:002016-08-15T12:21:46.463+02:00Why it is so important to use government deficits rather than negative rates to boost the economy (demonstrated with a lot of pretty pictures).<div dir="ltr" style="text-align: left;" trbidi="on">
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Many economists treat fiscal and monetary policy as equivalent, to be used interchangeably. This <a href="http://www.ft.com/cms/s/3/95809898-da3d-11e5-98fd-06d75973fe09.html#axzz41BWxjA7e">article</a> by Martin Sandbu in the FT is an example, and he would have the support of a majority of academic economists in this view.<br />
<br />
But it is wrong; they are not in any way interchangeable. The reason the majority of academic economists are wrong is that their models for the economy don't include debt. Because their models do not include debt, they are unable to explain why we are at zero interest rates (too much private sector debt), why we have secular stagnation (too much private sector debt), growing inequality (partly too much private sector debt), too high house prices (too much private sector debt) and I could go on, but I imagine you get the point.<br />
<br />
To remedy this, I have created a <a href="https://dl.dropboxusercontent.com/u/38898073/DBCF_23_02_16.pdf" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'PaperFeb16']);">very simple model</a>, called a Demand Based Cash Flow Model (DBCF). It is much simpler than the DSGE models economists normally use. It has one major advantage, though, in that it does include debt. It is based on simply looking at cash flows on the demand side of the economy, with an adjustment made to account for supply issues. And, in my opinion, it is a very powerful forecasting tool (relatively speaking, of course; the bar is set pretty low in economics).<br />
<br />
Recently I was asked by Professor Robert Hockett at Cornell, if I could use the model to examine the spending plans of the US presidential candidate Bernie Sanders. In doing so, I programmed the model into a spreadsheet and found some very interesting results, which I will share below.<br />
<br />
<b>I will run three different scenarios for the US economy. In the first one, interest rates remain at the zero lower bound, and government deficits are kept at approximately the current level. The second will use monetary policy to stimulate growth. The third will use fiscal policy.</b><br />
<br />
The spreadsheet is available on request if anyone wishes to see the assumptions made. In general these are taken from the <a href="https://dl.dropboxusercontent.com/u/38898073/DBCF_23_02_16.pdf" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'PaperFeb16']);">DBCF model paper</a>, which I recommend reading if you are interested in how these results were reached.<br />
<br />
<h4 style="text-align: left;">
<span style="font-size: large;"><b>SCENARIO 1: NEUTRAL. The government runs a deficit of 4% of GDP, interest rates remain at zero.</b></span></h4>
<br />
In this scenario, we continue in the secular stagnation we have been in. Economic growth continues at around 1.8%:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgT_bCkx8uR1F7BvhzA0-hUhxDJPG-jIvKHKM6LsiIFwfSp1KhhB0KvVPoOVleDVzdSY9BPNUns9GzckA37TIhyphenhyphenBsjfLzxYBQzJHZd__FSi0-VJuXTG6317jlpcgue_v2dyMuxSN553nisg/s1600/Graph1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgT_bCkx8uR1F7BvhzA0-hUhxDJPG-jIvKHKM6LsiIFwfSp1KhhB0KvVPoOVleDVzdSY9BPNUns9GzckA37TIhyphenhyphenBsjfLzxYBQzJHZd__FSi0-VJuXTG6317jlpcgue_v2dyMuxSN553nisg/s400/Graph1.jpg" width="400" /> </a></div>
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Inflation recovers from the current lows, which are largely due to deflation in commodity prices. These declining prices cannot continue forever, however, and sticky wages mean that a low level of inflation can survive in very unfertile economic soils. Inflation does remain below the 2% target that the central banks have set themselves and growth can only be described as anaemic.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTreiVu2kUOuYlamR2O2BGSsVgdDCDsyNmmAC1acdbJlkURo8LA1VumR8PCmKmT11K5NdJEHSkTdV1n6SZdJU8SZAVjd5bIOA-KqnrHs_h-kGx9-ie_g5vEq89YVKdxA-dk20rH_RAi8Ar/s1600/Graph2.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTreiVu2kUOuYlamR2O2BGSsVgdDCDsyNmmAC1acdbJlkURo8LA1VumR8PCmKmT11K5NdJEHSkTdV1n6SZdJU8SZAVjd5bIOA-KqnrHs_h-kGx9-ie_g5vEq89YVKdxA-dk20rH_RAi8Ar/s400/Graph2.jpg" width="400" /></a></div>
<br />
<br />
Average growth in this stagnant scenario is 1.8%. Central banks would be under pressure to try unconventional monetary policy.<br />
<br />
<h4 style="text-align: left;">
<span style="font-size: large;"><b>SCENARIO 2: MONETARY POLICY. Same as Scenario 1, but cutting interest rates by 0.25% every year.</b></span></h4>
<br />
In this scenario, we imagine that interest rates can go as negative as required and that the effect is the same as reducing rates when above the zero bound. This is debatable, but not completely unreasonable. The lower interest rates work in three ways. First, they stimulate more private sector debt, which puts a flow of new money into the economy. Second, they increase asset prices, meaning more of a wealth effect and more savings that can be spent by people with assets. Third, they reduce the exchange rate for the currency which improves competitiveness. All of this is modelled in the spreadsheet.<br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhWDl86QaDbfUAxWI8nJ-c29axfo0wyewO6MWHgtIDuSwuTCDUhi-5cySsSYQ0eEcOyjQ9vU5tFrebdUicc_D298sic_8jHGbdJe23n7qt3-0T9KntdvXydqDudqt0R3WG6Dt4wl3YgL33X/s1600/Graph5.jpg" imageanchor="1"></a> <br />
This scenario, at first glance looks better (albeit at the end interest rates are approaching the negative 3% level):<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKYlsa9CKSpTB-_WpVmSNUR4UzDFssLNHwcmk9UdMZuX0aY8CvFVUmGg6TnPWHNah0xe2jilr97pxmYhV-IYcNDe7bV0qoT96KgXRQhONY0yrLbjRdYpNfJWSrkBtif_xbnS8715dK-diR/s1600/Graph3.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKYlsa9CKSpTB-_WpVmSNUR4UzDFssLNHwcmk9UdMZuX0aY8CvFVUmGg6TnPWHNah0xe2jilr97pxmYhV-IYcNDe7bV0qoT96KgXRQhONY0yrLbjRdYpNfJWSrkBtif_xbnS8715dK-diR/s400/Graph3.jpg" width="400" /></a></div>
<br />
<br />
Growth ticks along at around 2.5 %, declining slowly but not so much that anyone would notice.<br />
And inflation?<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiPyOe6Tx8kFexnVcYhGjyqMZReCR2DS3uNhmBOFm00UTsL_1cue08qX9dhiKFG55_rfbQvjFU6X8EMZUyv_3VeygFNr3mwIsBXuMoKKqfKyhIeTUsCkxrkifg_wFNywmwMXRxJbuEItbJf/s1600/Graph4.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiPyOe6Tx8kFexnVcYhGjyqMZReCR2DS3uNhmBOFm00UTsL_1cue08qX9dhiKFG55_rfbQvjFU6X8EMZUyv_3VeygFNr3mwIsBXuMoKKqfKyhIeTUsCkxrkifg_wFNywmwMXRxJbuEItbJf/s400/Graph4.jpg" width="400" /></a></div>
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<br />
That too is looking pretty good - exactly on target at 2%.<br />
<br />
<b>THE GREAT MODERATION!</b> Rejoice all as the economy has officially been solved. If only we can keep reducing interest rates by a further 0.25% every year then we will have endless stable growth.<br />
<br />
Of course, house prices have gone up even more and inequality is rising, but maybe those affected should just work harder. We have a great economy.<br />
<br />
But not so fast...<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiPWHlfoS7_-EaJL2vsr1DvFtN90pYUwOpfI4eVH5WeR46x2u_4nIVw3XZaTiSdxOL7L38ZZk7U6yFQcAQQiPcxizmh8aMz03nTZDvpb6A7GAJjiVAl_zHNnQgGslOjcJIvT6pULwLgch9f/s1600/Graph5.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="252" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiPWHlfoS7_-EaJL2vsr1DvFtN90pYUwOpfI4eVH5WeR46x2u_4nIVw3XZaTiSdxOL7L38ZZk7U6yFQcAQQiPcxizmh8aMz03nTZDvpb6A7GAJjiVAl_zHNnQgGslOjcJIvT6pULwLgch9f/s400/Graph5.jpg" width="400" /></a></div>
<br />
This is the graph of private and government sector debt to GDP:<br />
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Private sector debt is back up to the levels of 2008. What if we have a crash?<br />
<br />
Eventually if debt keeps building up, we must have a crash. Sorry, but this is true; debt can not grow forever, and, as we all know, what cannot go on forever must stop.<br />
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<b>Let's put a crash in, in 2021:</b><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiUlRuPfcSa-8SfzsFBnvXKlLY4IWH_P8I9sV4OIJs_bfQeYLyutLJAxnHy-7MNCOBmgE4Y9WYqMIYhBZlZNvnwUb0gyDwtD0Seq2YCrS13u9Iat2BZabI37LdFxMV1hlGLTH79tVycP2a/s1600/Graph6.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiUlRuPfcSa-8SfzsFBnvXKlLY4IWH_P8I9sV4OIJs_bfQeYLyutLJAxnHy-7MNCOBmgE4Y9WYqMIYhBZlZNvnwUb0gyDwtD0Seq2YCrS13u9Iat2BZabI37LdFxMV1hlGLTH79tVycP2a/s400/Graph6.jpg" width="400" /></a></div>
<br />
OUCH!<br />
<br />
Well, that needs some government spending to bail out the banks and keep the economy going. Let's put an extra 10% government deficit in 2021, 7% in 2022, 5% in 2023 and 2% in 2024 (this is on top of the neutral 4%).<br />
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We now get a growth chart that looks like this (actually similar to 2008):<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjAWcQE_lP310CakeJkiyx7uW609os1Otr7B0_wosMxcp2z2vQfjK9Hp2Fu0HjkhjbZm442UPIAKZtxrXf7pXiuXCIVbKCVKBOyObYlsPLwljVAtuLGJI3D_sOE7HQkQy4VUj2ZwSlD6SJC/s1600/Graph7.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjAWcQE_lP310CakeJkiyx7uW609os1Otr7B0_wosMxcp2z2vQfjK9Hp2Fu0HjkhjbZm442UPIAKZtxrXf7pXiuXCIVbKCVKBOyObYlsPLwljVAtuLGJI3D_sOE7HQkQy4VUj2ZwSlD6SJC/s400/Graph7.jpg" width="400" /></a></div>
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With a debt to GDP chart that looks like this.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhBlpaPWf7Z2XGM5PdEMUaeLQN8eJHZXscxSjt7HlUipzpBtgmY5mep3OZJNkXNz9uWiMnOP98fejPPitcM4jKNledKKbpeIHoGF-S-wPuvDqRNcQS99ETkCTLlLsUMaU8yKBB1iNOzRA8h/s1600/Graph9.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"></a><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj8WORFm-m2dRZW2kCdlKOoPsbIkUK0Qt_woocS0wU1BiAu7ge5Y4McpOi_WgfBKYhKDihyphenhyphen0Wbux3Jghro03530nsdoxwx0yYmp1kuogOjwlBDqZXGD4PRmF-aSyX3hdU45ZfTYWz-mxMVy/s1600/Graph8.jpg" imageanchor="1"><img border="0" height="252" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj8WORFm-m2dRZW2kCdlKOoPsbIkUK0Qt_woocS0wU1BiAu7ge5Y4McpOi_WgfBKYhKDihyphenhyphen0Wbux3Jghro03530nsdoxwx0yYmp1kuogOjwlBDqZXGD4PRmF-aSyX3hdU45ZfTYWz-mxMVy/s400/Graph8.jpg" width="400" /></a></div>
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We have now had an average growth over the period of 1.7% and at the end are left with private sector debt to GDP of 230% and government debt to GDP of140%.<br />
<br />
This is not pretty.<br />
<br />
So… what if we had used fiscal policy?<br />
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<h4 style="text-align: left;">
<span style="font-size: large;"><b>Scenario 3: FISCAL POLICY. Run total average deficits of 7% per year for first 6 years and 6% thereafter. Raise interest rates by 0.5% per year</b></span></h4>
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To clarify here, in order to get a good economic impact from running deficits, it is important that the money goes to people with a high marginal propensity to consume. Tax cuts to the very rich will create a deficit but not the demand required. Assuming from hereonin that the deficits are used to fund spending with a high multiplier (assumed to be 1 on NGDP)<br />
<br />
In this scenario we get positively healthy growth:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgQRVZxibjv-bnzGEFMbgIfDwiGTH72yvNBg3GkSUzZomNGwixJo-S-LP4xy_XyVFXAceFqkIyNf0gOJ4AA3D13cujCUEvA7Swb8-g9jHppgMLW-CflizIEjCWnkDnD9bkhS6lXC-AvAIhyphenhyphen/s1600/Graph9.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgQRVZxibjv-bnzGEFMbgIfDwiGTH72yvNBg3GkSUzZomNGwixJo-S-LP4xy_XyVFXAceFqkIyNf0gOJ4AA3D13cujCUEvA7Swb8-g9jHppgMLW-CflizIEjCWnkDnD9bkhS6lXC-AvAIhyphenhyphen/s400/Graph9.jpg" width="400" /> </a></div>
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<br />
Inflation is a little over target, but not damagingly so:<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgV2bd5oh5ySAhsm2-l5kn-BYhZEY6HMtWlKHdEJyY7FmoL2_w57C9BPc_PZKcWVNOU7tCh53YjYMAZUXZWcS3wvjWwWFYkHY6shJoSdHO-SPIV1FgrwxkXB1l_RswPi08K4NxtFGVsvcEd/s1600/Graph10.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgV2bd5oh5ySAhsm2-l5kn-BYhZEY6HMtWlKHdEJyY7FmoL2_w57C9BPc_PZKcWVNOU7tCh53YjYMAZUXZWcS3wvjWwWFYkHY6shJoSdHO-SPIV1FgrwxkXB1l_RswPi08K4NxtFGVsvcEd/s400/Graph10.jpg" width="400" /></a></div>
<br />
<br />
But importantly, look at the debt to GDP ratios:<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiGDZNLmFcJJ9jlaueYizMfmxzpXUxoopYBHyJAJSmfY7GJnG_Qrom1AgBFNA2ubDvR0TF2ySRi0jd5HDSVbDaNNcZLFDYXkurTc6ij4r0qEpUTPHyCsKW5Ibw616MAdp_d7UEWFo_bBYaa/s1600/Graph11.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="252" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiGDZNLmFcJJ9jlaueYizMfmxzpXUxoopYBHyJAJSmfY7GJnG_Qrom1AgBFNA2ubDvR0TF2ySRi0jd5HDSVbDaNNcZLFDYXkurTc6ij4r0qEpUTPHyCsKW5Ibw616MAdp_d7UEWFo_bBYaa/s400/Graph11.jpg" width="400" /></a></div>
<br />
<br />
Private sector debt to GDP is down from 195% at the beginning to just 121% now. Wages will be a higher share of GDP, meaning real wages will rise. House prices will be lower relative to GDP so those without assets will be able to own their own homes. Overall the economy will be healthier.<br />
<br />
And despite all of the extra spending government debt to GDP has hardly moved; it started at 120% and finished at 120% of GDP. The reason for this is because debt is divided by GDP, and GDP has gone up far more than in the other scenarios.<br />
<br />
The average real GDP return over the period is 3.5% as opposed to 1.7% in Scenario 2.<br />
The total real GDP growth of the two strategies are shown in the below graph:<br />
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdQ1VPY_R2e38WHaN41SGSPYh3YSgpsj3DM1t3GzwjGSgaavRdkw75RDYsC_3XwUjdcceUdWaoB4ubF65TjjcE0Jx3tn7H6XmtDOV-bWP3WtmSSvS6yJ4EaefNWgikYv-osFz0tNJEvXno/s1600/Last_Graph.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="257" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdQ1VPY_R2e38WHaN41SGSPYh3YSgpsj3DM1t3GzwjGSgaavRdkw75RDYsC_3XwUjdcceUdWaoB4ubF65TjjcE0Jx3tn7H6XmtDOV-bWP3WtmSSvS6yJ4EaefNWgikYv-osFz0tNJEvXno/s400/Last_Graph.jpg" width="400" /></a></div>
<br />
<br />
<h3 style="text-align: left;">
<span style="font-size: large;"><span style="font-weight: normal;">CONCLUSION</span></span></h3>
<br />
I hope this helps to demonstrate why austerity is such a dumb idea.<br />
<div>
<br /></div>
</div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com5tag:blogger.com,1999:blog-1513588060557517621.post-86335135535427733552016-02-23T12:51:00.001+01:002016-12-19T14:20:57.711+01:00Latest Version of my DBCF model paper, including derivation.<div dir="ltr" style="text-align: left;" trbidi="on">
Download the full paper here:<br />
<br />
<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2858940" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'Feb16Link']);">The Relationship Between High Debt Levels and Economic Stagnation, Explained by a Simple Cash Flow Model of the Economy</a><br />
<br />
<br />
<br />
For completeness, I have put the two parts of my paper together. <br />
<br />
The first part described the model, simulated results, and also did a number of empirical studies of how debt impacts growth across the developed world, leading to a partial parameterisation of the model. It then used the model to show solutions to our current economic stagnation.<br />
<br />
The second part was a more robust derivation of the model from first principles; this enables the model to be used in a practical setting to predict GDP growth.<br />
<br />
<br /></div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com0tag:blogger.com,1999:blog-1513588060557517621.post-10229046705514122412016-02-13T22:46:00.000+01:002016-02-16T17:21:06.472+01:00Negative Interest Rates vs Helicopter Money<div dir="ltr" style="text-align: left;" trbidi="on">
Negative interest rates are the new QE in terms of central bank crazes and this is something that upsets me a lot. This is not because I care about savers losing their money. Unfortunately this is something that has to happen if the economy is to grow again.<br />
<br />
It is partly because the policy makers don't realise that they have been stimulating the economy using private sector debt for years. Their rational agent models say that lower interest rates encourage people to spend more rather than save. They can quantify the difference with the Taylor rule. It all makes sense. But in reality, the way that lower interest rates increase growth is by increasing private sector debt.<br />
<br />
The more debt, the lower the interest rate must be as there is only a certain amount of economic activity that can be diverted to bond holders and bankers. So eventually the interest rate goes down to zero. Instead of pausing here, and thinking maybe we need to change the model, they have come to the conclusion that what they need is to do more of the same.<br />
<br />
They don't realise that their actions will create more private debt and mean that interest rates will need to be moved ever lower to stimulate the economy next time. The lowering the interest rate cycle is never ending. The imbalances of the economy (stagnant wages, high house prices etc) all get worse.<br />
<br />
My distress is partly because it is an ideological decision. Given the choice of negative rates or helicopter money, from the point of view of the saver the effect is the same. One takes money directly, the other by inflation. Both encourage spending equally. So if the impact really is from rational savers bringing forward consumption, the two are equivalent.<br />
<br />
But people often do not think about the fact that every central bank decision has distributional consequences. It takes money from some and gives to others. No decision is neutral.<br />
<br />
If you look at the distributional impacts they are completely different from each other. Negative interest rates reduce the discount rate on asset prices and lead to their prices rising. The beneficiaries of negative interest rates are those with assets as the value of their holdings will go up. The bigger beneficiaries are thus the rich.<br />
<br />
With helicopter money, given directly to people or spent by the government on investment or consumption, then the money goes to people who benefit from it more; the country as a whole. It is fair and it is targeted. With QE and lower interest rates it is unfair and scattergun.<br />
<br />
And my distress is partly about the economic impact. Helicopter money directly boosts demand in a quantifiable and controllable way. It means that inflation targets can be hit. It means that investment gets made to increase future capacity.<br />
<br />
QE and negative rates only boost demand very little through the wealth effect and by encouraging further private sector debt. They do nothing for future investment.<br />
<br />
Both morally and economically helicopter money is the better option. Unfortunately the rich always win in these debates.</div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com7tag:blogger.com,1999:blog-1513588060557517621.post-27727959208348950942016-02-08T13:40:00.001+01:002016-12-19T14:23:19.369+01:00Derivation of my DBCF model in a Stock-Flow Consistent Framework<div dir="ltr" style="text-align: left;" trbidi="on">
After some very helpful comments from Jan Kregel at the <a href="http://www.levyinstitute.org/">Levy Institute</a>, I have derived my DBCF model of the economy from first principles using a stock-flow consistent framework. This adds more rigour as well as giving more clarification of detail of implementation.<br />
<br />
I feel that this model describes the real world far better than existing mainstream academic models for a number of reasons:<br />
<br />
1) It makes no assumptions about behaviour, or rationality, of participants.<br />
<br />
2) It can explain inflation and economic growth in a way that all loanable funds models used by mainstream macroeconomists are unable to.<br />
<br />
3) It includes a balance sheet, the current bloatedness of which explains both economic stagnation and the zero interest rate environment.<br />
<br />
4) It shows clear solutions to our current problems, by targeting money to increase demand.<br />
<br />
5) It does not back up the neo-liberal consensus which has both failed economically and led to widening inequality, greater rewards for rent seekers and a diminishing share of returns for those doing the work in the economy.<br />
<br />
The derivation of the model is here:<br />
<br />
<a href="https://dl.dropboxusercontent.com/u/38898073/stock_flow_consistency_section.pdf" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'Derivation']);">Deriving the DBCF model in a Stock-Flow Consistent Framework</a><br />
<br />
And the full paper is here, with empirical data to support it:<br />
<br />
<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2858940" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'PaperDeriv']);">The Relationship Between High Debt Levels and Economic Stagnation, Explained by a Simple Cash Flow Model of the Economy</a><br />
<br /></div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com0tag:blogger.com,1999:blog-1513588060557517621.post-29947701234273620052015-12-22T16:06:00.001+01:002015-12-22T19:04:49.601+01:00How high could a UK Universal Basic Income be?<div dir="ltr" style="text-align: left;" trbidi="on">
Tom Streithorst, in <a href="http://www.coppolacomment.com/2015/12/the-basic-income-guarantee-what-stands.html" target="_blank">Coppola Comment</a>, discusses the rationale for a Universal Basic Income (UBI). He states that:<br />
<blockquote class="tr_bq">
It may seem
impractical, even utopian: but I am convinced the BIG [UBI]will be instituted within
the next few decades because it solves modern capitalism’s most fundamental
problem, lack of demand.</blockquote>
It is a view that that I have a lot of sympathy with. There is clearly not enough demand in the economy and this is one way of fixing this. Also, as Streithorst points out, and I discuss <a href="http://www.notesonthenextbust.com/2015/04/is-technology-taking-peoples-jobs.html" target="_blank">here</a>, technology may be improving productivity, but it is up to us to make sure that this translates into improved quality of life for everyone rather than a bounty for the owners of technology and serfdom for the remainder. UBI is one way of distributing the wealth of society more evenly.<br />
<br />
When a £72 a week basic income was included in the Green party election manifesto, at a cost of £280bn per year, Natalie Bennett, the Green party leader, was ridiculed for not having details of funding. However, I believe that it is possible and here I propose to work out an approximate level of basic income that would be feasible given that the government is trying to hit a nominal GDP target.<br />
<br />
The basis of these calculations is the <i>DBCF</i> model I develop <a href="https://dl.dropboxusercontent.com/u/38898073/High_Debt_and_Stagnation.pdf" target="_blank">here</a>. This model looks at demand and how targeting of cash flows can influence this demand and hence NGDP. The analysis from the paper is that the UK economy has a structural savings rate of around 3%. This is to say that for every £100 spent on GDP additive goods and services in year 1, only £97 is spent in year 2. The remainder of the demand is made up for in government deficits and private sector debt.<br />
<br />
We currently have a chronic shortage of demand and the UBI can fill this gap. For this reason, and because it has a high multiplier, it is valid expenditure. It can be funded either with a helicopter drop or with government debt; the important point is that a NGDP level is targeted and that it is done responsibly so there is no loss of confidence in the government.<br />
<br />
I attach a spreadsheet<a href="https://dl.dropboxusercontent.com/u/38898073/UBI_in_UK.xls" target="_blank"> here </a>with the calculations so any assumptions made can be changed by the reader.<br />
<br />
The assumptions are as follows (the reasons for these can largely be found in my paper <a href="https://dl.dropboxusercontent.com/u/38898073/High_Debt_and_Stagnation.pdf" target="_blank">here</a>):<br />
<br />
<ol style="text-align: left;">
<li>The structural savings rate in the economy is 3%.</li>
<li>NGDP growth target is 5%.</li>
<li>The multipliers of both UBI spending on NGDP and current government deficit spending on GDP are both 1.</li>
<li>Recipients will be all people 15 years and older.</li>
<li>Current government deficit is 4%.</li>
<li>All UBI is taxed at marginal rates of income tax.</li>
<li>The average marginal rate of income tax is 30%.</li>
<li>The UBI replaces 80% of current pension spending.</li>
<li>The UBI replaces 50% of current welfare spending.</li>
</ol>
<div>
Given all of these assumptions, a viable level for the Universal Basic Income is shown to be approximately:</div>
<div style="text-align: center;">
<span style="font-size: large;"><b>£6,600</b></span></div>
<div style="text-align: center;">
<span style="font-size: large;"><b><br /></b></span></div>
<div style="text-align: left;">
<br /></div>
<div style="text-align: left;">
Note that this level is around the level of the basic state pension, so pensioners would not lose out. This could replace tax credits and also a fair amount of welfare spending (I have put 50% into the calculation above). </div>
<div style="text-align: left;">
<br /></div>
<br />
<div>
Obviously it would be recommended that this is slowly built up to; the assumptions, especially around multipliers, may be incorrect. But it gives an approximate idea - and I think that this is important.</div>
<div>
<br /></div>
<br />
<div style="text-align: left;">
<br /></div>
<br />
<div style="text-align: left;">
</div>
</div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com4tag:blogger.com,1999:blog-1513588060557517621.post-54104354508114080452015-12-15T13:55:00.001+01:002016-12-19T14:24:16.284+01:00Working Paper: The Relationship Between High Debt Levels and Economic Stagnation, Explained by a Simple Cash Flow Model of the Economy<div dir="ltr" style="text-align: left;" trbidi="on">
UPDATE: Download latest, Feb 2016 version <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2858940" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'PaperRentsLink']);">here</a>. This version contains the derivation.<br />
<br />
<br />
<br />
My working paper, in which I bring together the ideas from this blog in the past year, has now been finished. It is available here (this link may stop working - probably safest to use the above one):<br />
<br />
<b><a href="https://dl.dropboxusercontent.com/u/38898073/High_Debt_and_Stagnation.pdf" onclick="_gaq.push(['_trackEvent', 'Outbound Links', 'Click', 'Paper2015orig']);" target="_blank">The Relationship Between High Debt Levels and Economic Stagnation, Explained by a Simple Cash Flow Model of the Economy</a></b><br />
<br />
<br />
Abstract:<br />
Empirical data is presented suggesting that high private and, to a lesser extent,
public debt levels place a strong drag upon economic growth. A simple,
demand based, cash flow (DBCF) model of the economy is developed, separating
out flows by marginal propensity to spend. This approach is both logically sound
and empirically consistent with the data. It supports a prognosis for the economy
and estimate of future NGDP growth. Importantly, it is a model that is flexible
enough to incorporate high debt scenarios, and is able to explain the secular stagnation
currently experienced by Western economies and Japan. A simulation is
also provided to show the danger to stability of allowing private sector debt to fill
lost demand. The conclusion is that the zero lower bound has been reached because
there is too much private sector debt for the economy to sustain. Demand is
perpetually too low because of structural excess saving. The proposed solution is
to rebalance the economy using large, preferably monetised, government deficits.</div>
Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com3tag:blogger.com,1999:blog-1513588060557517621.post-44448825392352825682015-08-31T13:04:00.000+02:002016-03-09T14:50:32.410+01:00Why Shares are too Expensive. And, while we're at it, is the idea that shares always out-perform partly just a historical anomaly?<div dir="ltr" style="text-align: left;" trbidi="on">
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<meta name="twitter:description" content="And how the bull run of the past 25 years is due only to falling interest rates.">
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To start, a disclaimer... this is not a suggestion to trade, merely an observation on the economy and what it should mean for share prices. There is a reasonable chance that I am wrong; I invite you to look at the arguments and decide. And even were I correct that prices are too high, it does not mean that they will come down. In fact they can get a lot higher because, to paraphrase the great economist Hyman Minsky, whenever the market is too high, people are prone to get a little over-excited.<br />
<br />
People have been arguing for a while now that shares are too expensive against their historical valuations. Various metrics are used to define this. For example, the CAPE Shiller ratio looks at the price of shares against 10 year trailing earnings. Historically US shares have traded at a median of 16 times earnings. In the past valuations have reverted to a multiple 16, but it is difficult to time this; in the dot com boom it reached almost 45. At the moment the multiple is roughly 25. This suggests that the market would need to drop by almost 40% in order to be fairly valued.<br />
<br />
Nonsense, the bulls say. This model is irrelevant. Have you not seen what has happened to government bond yields? A thirty year US treasury now only pays you around 3% per year. The short term bonds pay almost zero. Stocks are cheap because there is nowhere else to get a good return. Central bank action will always support asset prices and they'll just keep printing more money. Even a mediocre return is better than nothing, and stock prices reflect this.<br />
<div>
<br /></div>
I believe that shares are substantially overpriced based on any normal return expectation. There is an idea that shares always perform well in the long term; this may be true in the very long term but a period of very high growth followed by a series of one-off changes have led to large rises in share values over the past 80 years and these are unrepeatable. I will discuss all this in the rest of the post.<br />
<br />
First, the share valuation model. For those unfamiliar with corporate finance models, a share can be valued by taking the sum of all of its future dividends and discounting them to the present. This means that if you will expect to receive £100 in dividends next year, you will value it slightly less than if you had £100 now.<br />
<br />
There are two components of this discount. The first is for the interest you could receive if you invested in a risk-free (in most cases) government bond. This means that you need to receive at least the rate of interest you could have got for no risk. The second component of this discount rate is called a 'risk premium'. It is the extra return that you need to receive for taking risk with your money. If one only receives the same as the government interest rate, why would anyone make risky investments? In the recent past the risk premium for U.S. stocks could be reasonably said to be <a href="http://www.mercer.ch/content/dam/mercer/attachments/north-america/us/review-of-equity-risk-premium-mercer-october-2013.pdf" target="_blank">around 4%</a>. So people invest in stocks with the expectation of receiving the risk free interest rate plus a risk premium.<br />
<br />
As I show <a href="http://www.notesonthenextbust.com/2015/05/total-wealth-and-obvious-effect-on.html" target="_blank">here</a>, in relation to the UK, the total amount of debt has skyrocketed over the past 45 years. This means that the total gross wealth in financial assets (not including property) has gone up from around 4x GDP to around 13x GDP in the UK (these are approximations). Similar trends are <a href="http://www.mckinsey.com/insights/economic_studies/debt_and_not_much_deleveraging" target="_blank">observed</a> internationally. There are therefore a lot more savings than there were before. A savings glut, in fact (which is the same as a debt glut but viewed from the other side). For this reason, I would argue that the risk premium should reasonably be a lot lower than it has been in the past - maybe 2%. This would mean that share prices should be a lot higher than they would be with a 4% risk premium. I am taking this into account and I say that, even despite this, equities are now too expensive.<br />
<br />
From here on, I will be looking at the US stock market, specifically the S&P 500 index; the most traded share index in the world.<br />
<br />
Since 1945 share prices have been in one long bull market. They have been going up almost relentlessly. This leads to the idea that shares always out-perform bonds or cash in the long term. As I say, this may be true, but in the time period we have seen a number of important changes that have led to one-off increases in share prices.<br />
<br />
<ol style="text-align: left;">
<li>The reduction in government bond yields - 25 years ago a 30 year government bond paid 8%. Now it is closer to 3%. </li>
<li>The reduction of risk premium required - in 1990 I calculate the implied risk premium using my dividend valuation model to have been around 2%. Now I calculate it to be 0%</li>
<li>Corporate profits as a share of GDP are at a high since 1945. In fact, the share has more than doubled since 1990. This would mean, all things being equal, a doubling in the fair value of shares.</li>
</ol>
<div>
These three effects would account for approximately a 20 fold increase in the value of shares since 1990. In fact the rise has been only around 6 fold. As of 1990, the S&P 500 was trading at around 350; at the time of writing (Aug 15) it is around the 2000 level.</div>
<div>
<br /></div>
<b>Had these three one-time changes to risk preference and corporate rent-seeking ability not occurred then the stock market would actually have gone down considerably since 1990. </b><div>
<b><br /></b><div>
Since 1990, owning the shares in the S&P 500 would not have been better than owning a portfolio of 30 year bonds. This is despite the doubling of corporate profit share to GDP and reduction in risk premium. This really highlights how poor equities’ performance has been since 1990 (relative to bonds) - and how the great fall in bond yields has managed to disguise this. Perhaps this has convinced investors that equities have a natural right to perform well in the long term.<br />
<br />
The reason for this relative under-performance of the S&P 500 has been the performance of nominal GDP.<br />
<br />
If the proportion of corporate profit to GDP remains the same, then corporate profit can only grow with nominal GDP. This is an extremely important point that many analysts appear to miss when making earnings growth projections.<br />
<br />
Between 1945 and 1990 nominal GDP growth averaged around 8% per year. This means that total profits could be expected to grow by around 8% per year. In this period, there would be every reason to think that shares would keep increasing in value. However, between 1990 and today, GDP growth is closer to 4.6% PA. And in the current period of secular stagnation we may only be able to expect around 3.5%. In fact since 2008, we have averaged 2.7%.<br />
<br />
Taken in conjunction, the change in the expected nominal GDP growth from 8% to 4.6%, along with points 1-3 above can account for the change in value of the S&P 500 since 1990.</div>
<div>
<br /></div>
<div>
<b>Since 1-3 are one-off events, I would argue that there has actually been no evidence since 1990 that stocks are better than bonds in the long term, despite the apparent 6 fold increase in price.</b></div>
<div>
<b><br /></b></div>
<div>
So going forward, will shares outperform? I use the discounted dividend model above with the following parameters:<br />
<br />
o<span class="Apple-tab-span" style="white-space: pre;"> </span>Nominal GDP growth prediction of 3.5% per year<br />
o<span class="Apple-tab-span" style="white-space: pre;"> </span>Disruption rate set at 2%<br />
o<span class="Apple-tab-span" style="white-space: pre;"> </span>Dividend growth, g = Nominal GDP minus disruption<br />
o<span class="Apple-tab-span" style="white-space: pre;"> </span>Discount rate, r, of the US treasury 30 year yield (approx. 3%) plus 2% risk premium, giving r = 5%<br />
<br />
By ‘disruption’ I mean that if one held a portfolio of all the stocks in the S&P 500, each year, 2% of profits will go to new companies that we did not already own shares in. In other words, if one bought the whole S&P 500 index today and held the shares for 30 years, one would only have shares in 55% of the S&P index at that future time. The index rebalances for new participants, but there is friction as it does so. We assume that corporate profit share does not increase from this post-war high level, and that risk premiums and risk free rates do not decrease further from these all-time lows.<br />
<div>
<br /></div>
How realistic is this pricing model? Looking at the actual performance of dividends against nominal GDP we can find the following. Given a) the increase in nominal GDP between 1990 and today and b) the share of corporate profit <a href="https://research.stlouisfed.org/fred2/graph/?g=cSh" target="_blank">rising from 4.2% to 10.1%</a> of GDP in the same time period, then we would expect dividends to rise by around 8.5% per year. In fact they rose by about 6.5% per year which accounts for the 2% 'disruption' discussed above. This means that a nominal GDP model for modelling dividend returns is not unreasonable empirically (as well as it being an economic identity).<br />
<br />
So this pricing methodology has held well in the past. Now, it is dependent on the assumptions put in of course. All of these assumptions can be changed and all affect prices considerably. Maybe nominal GDP will be higher than 3.5%, maybe lower. Maybe corporate profit share will go up, maybe down. This is why evaluation of fair value is so difficult.</div>
<div>
<br /></div>
<div>
However, using what I consider to be the reasonable assumptions above, the only way that I can get that shares are fairly priced is by assuming almost a zero risk premium. This is absurd and can not continue indefinitely. </div>
<div>
<br /></div>
<div>
<b>With a risk premium of just 2%, I get that fair value is 40% lower than the current price. Or the S&P at around 1200. This actually broadly agrees with CAPE Shiller.</b></div>
<div>
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This is not to say that prices will definitely go down. They could just stay roughly where they are for many years before fair value catches up. But the market tends not to work like that and this is why I believe that, despite central bank intervention to support share prices, we will still see a large correction.<br />
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According to this model, calculated using a 2% risk premium, share prices have been overpriced since 1990 (with the exception of a short period in 2008-09). The worst period was at the height of the 2000 dot com bubble where they were 300% overvalued. Stocks have kept going up despite this over-pricing, because of falling bond yields. If bond yields stop falling then we may have reached the point where gravity takes its toll. With so many central banks at the lower bound it is arguable that they cannot repeat their asset inflation success of the last 30 years.</div>
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My conclusion is that risk free bonds are a better investment than shares at this time in the long term. For those that worry about a large printing of money to stave off disaster, and the subsequent inflationary impacts, I would suggest that inflation linked bonds may be suitable, certainly on a risk-return basis. But as mentioned before, I am not giving investment advice and caution strongly against listening to me about anything.</div>
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I believe that low interest rates have driven shares to irrationally high levels and that ultimately they should either fall by a lot, or have a long time waiting for fundamental value to catch up with the current price. We will see if I am correct.</div>
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Ari Andricopouloshttp://www.blogger.com/profile/00181838814176635218noreply@blogger.com15