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It’s a pleasure to be here.

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Let me begin by talking about the key puzzles and questions that I want to talk about.

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And it really begins with, is there an equilibrium distribution of wealth and, if so, what determines it?

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And how do we account for the increase in wealth output ratio

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and the fact that a return to capital which does not seem to be declining?

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Average wage rates which in many countries seem to be stagnating or declining?

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And a share of wages which seems to be decreasing, at least in many countries?

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The context of these remarks is Thomas Piketty’s book which deservedly has gotten a lot of attention recently.

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It suggests an ever-increasing concentration of wealth.

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What is quite important about the book is that it also emphasises the period that I was growing up in.

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The period after World War 2 was the golden age of capitalism.

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When I was growing up I didn’t realise that this was the best that capitalism ever got.

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Because as I was growing up I saw unemployment, discrimination, labour strife - lots of things that weren’t so golden.

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But then I was told by Piketty’s book that’s the best capitalism ever gets.

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And that, in fact, inequality in the post-1980 era has soared in a way

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that was bringing us back to the inequality that had marked the 19th century.

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Actually, as I’m going to try to explain in a few minutes, there is a fundamental difference though,

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between inequality in the post-1980 world and inequality in the world

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that existed in say the 19th century until World War 1 or World War 2.

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And that is that during the 19th century wages increased enormously.

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Standards of living of most citizens increased enormously.

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And what’s been happening since 1980 is real stagnation.

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So we have a puzzle.

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We have a puzzle that is why is the post-1980 world different from the earlier world.

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We have a puzzle that’s related to these movements in wages and returns to capital.

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Standard theory suggests that increasing the capital labour ratio should lead

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to a decrease in the return to capital and an increase in average wages.

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And that’s true even in models with many types of capital.

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So if there’s skilled biased technical change it will change the relative wages but not the average wage.

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The fact that the average wage should be increasing.

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There’s some important aggregation problems that are swept under the rug in almost all macroeconomics which are really first order.

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Important issues that used to be discussed and really limit the applicability of standard macroeconomic models.

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But this is a fairly general result.

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Technological change, or an increase in efficiency as a result of globalisation,

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would be expected in fact to increase average wages even more.

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And studies of elasticity of substitution suggest that the elasticity is less than unity,

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so an increase in the capital labour ratio, or the effect of capital labour ratio, would lead to a diminished share of capital.

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So let me just review very quickly some of the data that Piketty was talking about

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and some of the problems that I’ve just highlighted.

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And I’ll do this very quickly.

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So the standard chart is that inequality at the top - and this is just one aspect of inequality,

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because there’s also a weakening in the middle and increase in poverty at the bottom –

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has reached levels that haven’t been seen since before the Great Depression.

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The second is to show that trickle-down economics, as usually meant, isn’t working.

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You know in some ways trickle-down economics never worked,

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the idea that if you throw enough money at the top everybody would benefit.

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I wish it were true because if it were true - we’ve thrown so much money at the top everybody would be doing well.

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But, in fact, as this chart shows for the United States median income is at the level that it was a quarter of a century ago.

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Of course, different demographic groups are affected differently.

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This is an average or a median.

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An important demographic group that I feel very empathetic with is males.

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And if we look at the median wages of a full-time male worker in the United States, it’s lower than it was 40 years ago.

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So when I say that capitalism is failing -

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any economic system that doesn’t deliver for very large groups in the population,

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doesn’t deliver for a majority of citizens, is an economic system that is failing.

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And certainly capitalism in America, and its true in many other countries, is in these terms failing, and failing very badly.

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It’s not because productivity hasn’t increased.

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In fact, productivity has increased significantly.

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This chart shows that over the last 40 years there’s been 100% increase in productivity.

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It’s just that most citizens haven’t participated.

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Here’s a chart that shows the average wages in the United States over the last 40 years –

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this is the pay per hour - has actually gone down by about 7%.

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All the increase in productivity has gone elsewhere.

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Now, one thing I’m not going to be able to talk about very much.

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And a dimension of inequality that is very important.

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Particularly those on the right talk about it all the time.

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And say we don’t care about inequality of outcomes, what we care about is equality of opportunity.

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But that’s also not very good.

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Inequality of opportunity varies from country to country.

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In the United States, which thinks of itself as the American dream, the land of opportunity,

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the fact is that a young American's life prospects are more dependent

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on the income and education of his parents than in other advanced countries.

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So the idea that America is a land of opportunity is really a myth.

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We ought to call it not the American dream, but the Danish dream or the Scandinavian dream.

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And one sees that there’s a clear relationship.

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And this is a really important research topic to try to understand why this is so.

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But it’s been well documented - not only across countries but across counties in the United States –

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that what you see is that countries with more inequality of outcomes have more inequality of opportunity.

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There are many other dimensions of inequality that I could talk about but I’ve been told I only have 21.41 minutes.

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So let me move on very quickly.

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What I want to do is spend the time this morning trying to explain some of these anomalous facts.

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What is going on?

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The basic problem in Piketty’s work and the easy resolution of the quandaries that, from a theoretical perspective,

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his analysis throws up is, that there’s a fundamental confusion between 2 variables, wealth and capital.

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He talks about wealth going up - wealth output ratio going up, wealth labour ratio going up –

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but that doesn’t mean that capital is going up.

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Now, if you use a very simple model, W and K are the same thing.

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But, in general, they are not.

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Most of the increase in the value of wealth is an increase in the value of land.

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It’s not that there’s more land.

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But the price of land has gone up.

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The data on K, the value of capital, actually shows a decline in the capital labour ratios in many countries.

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In Piketty’s own country, in France, the capital - according to data that I’ve been able to get from the OECD –

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the capital stock has actually been going down.

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There are other important measurement problems.

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And I emphasise that because too many people, in macroeconomics particularly, just take the data

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that come out of the national accounts without asking, what does the data mean?

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And this is particularly true when it comes to capital data.

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So for instance, the value of capital could go up because of an increase in monopoly power.

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Increase in monopoly power means that monopoly rents will go up.

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The capitalised value of those monopoly rents will show up in stock market values.

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There are reasons for us to not be surprised that monopoly rents might be going up

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because of an increase in network effects that have been identified in areas like computerisation and telecommunication.

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The second thing is there could be a shifting of resources to the private sector from the government,

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exemplified in the value of the government bailouts.

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In each of these cases there’s a negative, but the negative doesn’t get reflected in our accounting framework the way it should.

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In the first case, when there’s an increase in monopoly power, there’s a decrease in the value of human capital.

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But when we talk about wealth we don’t include the decrease in the value of human capital.

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In the case of the shifting of resources from the government to the private sector,

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we don’t talk about the decrease in the value of taxpayer wealth in the data.

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Now, the next question we need to ask is how do we think of or how do we explain the increase in the value of land?

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Important to emphasise that an increase in the value of land doesn’t mean that there’s more productive land.

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An example of why the value of land might go up is that if some Russian oligarchs, who have been able to steal money

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from their country and become very wealthy, decide they want to buy more land in the Riviera, in the south of France.

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This is the one example where trickle-down economics works.

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It trickles down from the Russian oligarchs to the rich people in France. (Laughter)

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So the price of land in the Riviera goes up.

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The same views of the ocean, the same water is there.

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In fact, fewer people will be enjoying it.

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But in terms of the value wealth is going up.

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With the next slide - which I can’t talk about because Peter has restricted my time –

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is that we can try to explain the value of these kinds of positional goods.

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And we can show that, in fact, when there is an increase in wealth, there can be an increase in these positional goods

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in such a way as actually to lead to a decrease in the value of K, of capital stock.

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There’s another explanation of what might be going on.

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And that’s related to dynamic instability that’s been well explored in theories of heterogeneous capital goods.

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In the theories of heterogeneous capital goods, where there are multiple capital goods,

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one can show that the equilibrium is a saddle point.

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And without futures markets extending infinitely far into the future, or infinite foresight,

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there is no reason to believe that the boundary value, the transversality conditions, will be satisfied.

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Now you can translate these kinds of ideas directly:

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2 kinds of capital, physical capital, the kind that’s productive and the value of land.

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And the dynamic instability shows up in the amount of capital goods and the value of land.

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There’s a dynamic instability.

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The suggestion is that it may be that we are in one of these unstable paths with the value of land going up.

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And, eventually, there will be a correction of this trajectory.

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But unfortunately, even when there’s a correction, it can go to creating another land bubble of the kind

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that we’ve seen repeatedly in capitalist economies.

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The next issue is putting aside this problem, which helps explain the anomalous behaviour of the increase in wealth,

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at the same time that the rate of interest has not gone down.

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This says they’re not surprised their interested rate hasn’t gone down because the capital stock hasn’t gone up.

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What’s really happened is just the value of land has increased.

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But there’s another aspect of Piketty’s work that’s really interesting.

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It's that he suggests that there is going to be ever-increasing inequality in the distribution of wealth.

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And this is a really important research agenda which has not being studied intensively for a very long time.

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And one can formulate very simple models, for instance with dynastic families leaving bequests among their children.

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Right down simple differential equations describing the wealth distribution that results.

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In the simplest kind of models, where for instance savings is described by a simple solo model,

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where savings is a constant fraction of income, you get some striking results.

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Which is: regardless of the initial distribution of income, there will eventually be equality of wealth.

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Very different from the results that Piketty got.

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If the savings rate, returns on capital, rates of growth of families are all the same but wages differ,

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then, his studies say, the wealth distribution will correspond precisely to the wage distribution.

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It’s easy to, or I shouldn’t say 'easy' - it’s possible to extend this to stochastic models.

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For instance where wages of families are determined by a simple stochastic process with regression towards the mean.

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That is to say if the parent is of unusual ability, it’s more likely that his children will be of some less ability.

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One can formulate models of this kind with a lower bound on wealth –

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that is to say individuals can’t borrow more than a certain amount - and assume the families optimise intergenerational utility.

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And out of that one can derive simple theories of equilibrium wealth distributions

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in which the inequality of wealth is related to the nature of the stochastic process of wages and intertemporal discount factors.

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A third model that one can focus on is a savings function

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where all the saving is done by the capitalist, by those who have capital.

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It’s not a bad approximation to what has been happening today.

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And it's really the model that is implicit in Piketty’s analysis.

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In that kind of case, for instance again an implicit assumption of a lot of what he talks about

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is the savings rate of capitalism is unity.

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Then, in the long-run equilibrium, you get the rate of growth is equal to the rate of interest.

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The important point here is that the interest rate is an endogenous variable.

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So in his analysis some of you who looked at it noted that he made a big point

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that you get increasing inequality as a result of the fact that the rate of interest exceed the rate of growth.

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But that’s not consistent with long-run equilibrium.

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In a long-run equilibrium the 2 will be equal.

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And in that case you get the rather striking result that in the long run the road to wealth of all families would remain the same.

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And the initial inequality of wealth would be perpetuated.

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Really, what I’m trying to highlight here is that there is an important research agenda,

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something that’s not really been researched as much as it should - on the determinants of the distribution of wealth over time.

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In some of the work I’ve been engaged in,

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it's been focusing on trying to identify what you might call the centrifugal and centripetal forces.

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What are the forces at play that lead to increasing inequality of wealth?

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And what are the forces that lead to reduced inequality of wealth?

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And we’ve been able to identify a lot of the factors.

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Analytic questions that arise are: Can we interpret the increase in inequality that we’ve observed?

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Very strong increases in inequality since 1980.

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Are we moving from one equilibrium to another?

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Is it possible for inequality to increase without bound?

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Or are we temporarily off an equilibrium path?

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As I say I don’t have time to identify all the forces that are at play, either the centrifugal or the centripetal forces.

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One of the aspects that I will have a chance to talk about is that if the very rich can use their position to get higher returns –

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more investment in information, more extraction of rents - and if the very rich have equal or higher savings rate,

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then wealth will become more concentrated.

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Although there will be again, typically, an equilibrium distribution of wealth.

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So that comes to the question: Can we identify factors that are currently at play,

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that are contributing to this increase in wealth income, the increasing inequality in wealth and income?

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And there are a couple of things that I want to try to identify

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that go beyond some of the standard models that have been talked about.

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The most important aspect of this is trying to go beyond the boundaries of economics.

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And to realise that economic inequality inevitably gets translated.

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Economic inequality of the magnitude of the United States, and some of the European countries,

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inevitably gets translated into political inequality.

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And political inequality gets translated into more economic inequality.

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The basic and really important idea here is that markets don’t exist in a vacuum.

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That market economies operate according to certain rules, certain regulations that specify how they work.

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And those affect the efficiency of those markets.

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But they also affect how the fruits or the benefits of those markets are distributed.

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And the result of that is that there are a large number of aspects of our basic economic framework

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that in recent years have worked to increase the inequality of wealth and income in our society.

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An obvious one is how we provide education to different groups in our populations.

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If we provide more education in rich districts, in rich parts of the country, then we help perpetuate wealth inequality.

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If we have systems of public transportation that make it more difficult for poor people to get access to jobs,

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we will get more inequality.

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If we have systems of taxation that lower the taxes on capital, which has happened in the United States since 1980,

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we get more inequality.

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And if we have legal frameworks like bankruptcy laws, systems of corporate governance, inadequate enforcement of anti-trust laws,

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we wind up getting more inequality.

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So, in fact, if you look closely at what has been going on, it’s not a surprise what we’ve been seeing.

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Empirically one of the striking things that’s been going on is an increased role of inherited capital.

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The question is: What is the role of inherited capital versus life cycle savings, savings that people do on their own?

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And the evidence is overwhelming: significant increases of the relative importance of inherited capital.

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Well, I don’t really have time to talk about this, except to note

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that it’s easy and important to try to construct models which answer that question.

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And which try to identify how policy changes of the kind that I described above

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lead to increases in the importance of inherited capital.

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Leading to a society which can better be described increasingly as an inherited plutocracy.

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The final part of my talk.

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I want to talk about the notions of credit, wealth, and inequality.

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And actually, in some ways, linking up macroeconomics to microeconomics.

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I observed in the beginning that the aspect of the increase in wealth

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that really characterised capitalist economies is really about the value of land.

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And I’ve put forward 2 possible explanations of this increase in the value of land.

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One is the value of position of goods.

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The second being of equilibrium paths, the saddle-point nature of markets with heterogeneous capital goods.

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There’s a third explanation which sees the growing wealth inequality as a result of misguided monetary policy.

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It should be very clear that monetary policy in the years before 2008 did not lead to economic stability.

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It led to the Great Recession.

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I think it was a pivotal role in that.

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But what I want to suggest is the nature of monetary policy, credit creation, actually it’s related to the increase in inequality.

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So the basic idea is a fairly simple one.

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It's credit not money that is central to macroeconomic behaviour.

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Normally they move together.

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In crisis monetary base may increase without an increase in credit.

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So we need really a theory of credit creation.

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And as we focus on credit creation, what we need to emphasise is that what matters is not the interest rate, the T-bill rate,

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as has been standard in DSGE models but credit availability, the spread between the T-bill rates and the lending rates.

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Well, what is credit?

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Credit is what enables individuals to spend more than the resources they have available at that moment.

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And one has to realise that credit is different from ordinary commodities.

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Credit can be created out of thin air.

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What gives rise to credit?

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Why can banks, for instance, create this kind of credit that allows people to spend more money than they’ve already earned?

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Credit economy is based on trust.

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Trust that the money that is borrowed will be repaid.

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Trust that the money that is received will be honoured by others.

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If a financial institution is trusted it can effectively create money or credit on its own,

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issuing IOUs that will be honoured by others and thereby can increase effective demand.

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Today trust in the financial system is the belief that the government will come to the rescue.

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And we saw that so clearly in 2008 where the US government and European governments basically said to the banks:

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Here are a few trillion dollars - we’ll back you up even though you’ve misallocated credit and mismanaged risk.

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What’s actually happened, if we look underneath the surface, is that the government has de facto delegated responsibility

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for the creation and allocation of credit to private banks.

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These private banks are effectively making use of its trust.

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So we’ve privatised a key national asset.

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Now, the central banks have only limited control of the quantity and, especially, the allocation.

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And much of the credit has gone to the purchase of existing assets, leading to asset price inflation.

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At the same time that the central banks were focusing on CPI, on commodity price inflation.

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This controlled the credit creation process - credit creation activity is a major source of inequality in our societies.

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Wealth not only going to those in the financial sector and to those that allocate credit,

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but to those that own the pre-existing asset whose prices are increasing.

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And it’s most evident in the creation of inequality in economies in transition,

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who went from a high level of equality to one of the highest levels of inequality in a short span of less than a quarter century.

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That brings me to the key policy issues.

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Central banks, on this particular issue - the regulators could have circumscribed the flow of purchase of existing assets,

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which is a form of macro-prudential regulation, but it was not part of the doctrine of central monetary policy of the DSGE models.

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Government could have taken a more direct role in the provision of credit, of making use of this scarce resource, their own trust.

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The crisis has shown that private markets were not good either in allocating credit or managing risk.

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Relatively little of the credit goes to productive investment.

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And that’s why the capital stock, the K, has actually been going down.

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And it emphasises the importance of significant macroeconomic externalities

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which were not taken into account by the private sector - a line of work that has now become very central to that at the IMF.

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So this leads me, very quickly, to both policy agenda and the research agenda, which is:

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Understanding the determinants of wealth inequality provides a framework for understanding policy reforms

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that will lead to lower level of inequality.

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And there’s a whole set of factors that I haven’t had a chance to talk about.

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Both public policies, polices that affect the extent of rent seeking, wealth appropriation that goes on,

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and social factors like discrimination and the role of unions.

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Before concluding there are just 2 comments I want to make.

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The first is there’s been a major change in perspectives on inequality in the last 10 years.

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The first is that the distribution of income does matter.

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In contrast with the prevalent macroeconomic models, particularly those that were prevalent before 2008,

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most of which assumed the distribution of income was of no relevance.

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It’s important to know what aspects of inequality of income and wealth are relevant, but it is very clear that they are.

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The second thing is that traditionally economists have talked about there being a trade-off between inequality and wealth.

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Yes, inequality is bad, but the view in many quarters is, if we were to do anything about inequality

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it would slow growth, introduce distortions in the economy and lead to less economic efficiency.

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We now realise that, at least given the extent of inequality in the United States and in many other advanced countries,

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and given the way inequality is created, the sources of inequality that I’ve talked about –

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actually we could have lower inequality and greater efficiency, greater stability, greater economic growth.

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In short, equality and efficiency should be viewed as complements.

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And this of course is the central theme of my book, The Price of Inequality,

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but it’s also now become a mainstream view that’s emphasised by research at the IMF.

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Again, an important research agenda is to understand the channels through which the effects get exercised.

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The final remark I want to make is that we can’t be sure that in the next 50 years, the trends of the last 30 will continue.

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We should hope not.

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But it’s not just a question of economic forces.

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Economic forces are the same on both sides of the Atlantic, both sides of the Pacific.

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But the outcomes, including the structure of opportunity are markedly different.

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And that says it’s not just economic laws, it's political forces.

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And so what’s at issue here is not just economic capitalism in the 21st century, as Piketty said.

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It’s really about democracy in the 21st century.

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There are, in fact, as I’ve hinted in this talk, many instruments at our disposal to create a more equal society.

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And many of these instruments would at the same time create a more efficient and better performing economy.

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Understanding the drivers of this growing inequality and the consequence will, and hope should be,

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a major area of research in the coming decades.

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Thank you.

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(Applause)

