Showing posts with label Knightian Uncertainty. Show all posts
Showing posts with label Knightian Uncertainty. Show all posts

Wednesday, April 15, 2009

a huge social insurance system, with resulting high taxes, low take-home pay and low wealth, may not hurt capitalism

TO BE NOTED: From the FT:

"
Uncertainty bedevils the best system

By Edmund Phelps

Published: April 14 2009 19:50 | Last updated: April 14 2009 23:50

Ingram Pinn illustration

In countries operating a largely capitalist system, there does not appear to be a wide understanding among its actors and overseers of either its advantages or its hazards. Ignorance of what it can contribute has in the past led some countries to throw out the system or clip its wings. Ignor­ance of the hazards has made imprudence in markets and policy neglect all the more likely. Regaining a well-functioning capitalism will require re-education and deep reform.

Capitalism is not the “free market” or laisser faire – a system of zero government “plus the constable”. Capitalist systems function less well without state protection of investors, lenders and companies against monopoly, deception and fraud. These systems may lack the requisite political support and cause social stresses without subsidies to stimulate inclusion of the less advantaged in society’s formal business economy. Last, a huge social insurance system, with resulting high taxes, low take-home pay and low wealth, may not hurt capitalism.

In essence, capitalist systems are a mechanism by which economies may generate growth in knowledge – with much uncertainty in the process, owing to the incompleteness of knowledge. Growth in knowledge leads to income growth and job satisfaction; uncertainty makes the economy prone to sudden swings – all phenomena noted by Marx in 1848. Understanding was slow to come, though.

Well into the 20th century, scholars viewed economic advances as resulting from commercial innovations enabled by the discoveries of scientists – discoveries that come from outside the economy and out of the blue. Why then did capitalist economies benefit more than others? Joseph Schumpeter’s early theory proposed that a capitalist economy is quicker to seize sudden opportunities and thus has higher productivity, thanks to capitalist culture: the zeal of capable entrepreneurs and diligence of expert bankers. But the idea of all-knowing bankers and unerring entrepreneurs is laughable. Scholars now find that most growth in knowledge is not science-driven. Schumpeterian ­economics – Adam Smith plus sociology – captures very little.

Friedrich Hayek offered another view in the 1930s. Any modern economy, capitalist or state-run, is a great soup of private “know-how” dispersed among the specialised participants. No one, he said, not even a state agency, could amass all the knowledge that each participant “on the spot” inevitably acquires. The state would have no idea where to invest. Only capitalism solves this “knowledge problem”.

Later, Hayek fleshed out a theory of how capitalism makes “discoveries” on its own. He had no problem with the concept of an innovative idea, for he understood that, even among experts, knowledge is incomplete about most things not yet tried. So he felt free to suppose that, thanks to the specialised insights each acquires, a manager or employee may one day “imagine” (as Hayek’s hero, David Hume, would have put it) a commercial departure – one that could not be inferred or envisioned by people outside the individual’s line of work. Then he portrays a well-functioning capitalist system as a broad-based, bottom-up organism that gives diverse new ideas opportunities to compete for development and, with luck, adoption in the marketplace. That “discovery procedure” makes it far more innovative than the top-down systems of socialism or corporatism. The latter are too bureaucratic to learn about ideas from below and unlikely to obtain approval from all the social partners of the ideas that do get through.

Well-functioning capitalist economies, with their high propensity to innovate, could arise only when serviceable institutions were in place. The freedoms borne by England’s Glorious Revolution of 1688 and the “commercial society” of the Scots were not enough. There had to be financial institutions where there would be disinterested financiers, each trying to make the best investment, and – importantly – a plurality of views among them, so financiers funded a diversity of projects. There also had to be limited liability for companies and a market enabling their takeover. Such institutions had to wait for demand by wide numbers of business people wanting to build a new product or new market or new business model. Rudimentary institutions began to emerge early in the 19th century, from company law and stock ex­changes to joint-stock banks and “merchant” banks lending to industry.

Unprecedented rewards soon followed in Europe and America: new cities rising, unbroken productivity growth, steadily climbing wages and generally high employment. Lifetime prospects improved for all or nearly all participants. Less measurable but ultimately fundamental, growing numbers of people in capitalist economies had engaging careers and were energised by their challenges and explorations. Capitalism was a godsend for them.

From the outset, the biggest downside was that creative ventures caused uncertainty not only for the entrepreneurs themselves but also for everyone else in the global economy. Swings in venture activity created a fluctuating economic environment. Frank Knight, observing US capitalism in his 1921 book, said that a company, in all of its decisions aside from the handful of routine ones, faces what is now called “Knightian uncertainty”. In an innovative economy there are not enough precedents to be able to estimate the probability of this or that outcome. John Maynard Keynes in 1936 insisted on the “precariousness” of much of the “knowledge” used to value an investment – thus the “flimsiness” of investors’ beliefs. (Yet now he is seen as “Smith plus psychological swings”.)

No coherent moral justification was ever suggested for throwing out a system providing invaluable and irreplaceable novelty, problem-solving and exploration, thus personal growth. On the contrary, humanist philosophy has continued since ancient times to hold up such experience as the “good life”. Socialists and corporatists never offered an alternative good life. They simply claimed that the system they advocated could out-do capitalism: wider prosperity, or more jobs, or greater job satisfaction. Unfortunately, there is still no wide understanding among the public of the benefits that can fairly be credited to capitalism and why these benefits have costs. This intellectual failure has left capitalism vulnerable to opponents and to ignorance within the system.

Capitalism lost much of its standing in the interwar period, when many countries in western continental Europe shifted to corporatist systems. This was a low point in the public’s grasp of political economy. In the end, the promises of greater prosperity and lesser swings could not be delivered. The nations that kept capitalism while making reforms, some good and others maybe not, ultimately performed well again – until now. Those that broke from capitalism were less innovative. After the disturbances of the 1970s, they saw unemployment rise far more than the capitalist nations did. They were worse on economic inclusion too.

Now capitalism is in the midst of its second crisis. An explanation offered is that the bankers, whatever they knew about capitalism, knew that to keep their jobs and their bonuses they would have to borrow more and more to lend more and more, in order to meet profit targets and hold up share prices. The implication was that the crisis flowed from a failure of corporate governance to curb bonuses and of regulation to rein in leveraging of bank capital to levels that made the banks vulnerable to a break in housing prices.

But why did big shareholders not move to stop over-leveraging before it reached dangerous levels? Why did legislators not demand regulatory intervention? The answer, I believe, is that they had no sense of the existing Knightian uncertainty. So they had no sense of the possibility of a huge break in housing prices and no sense of the fundamental inapplicability of the risk management models used in the banks. “Risk” came to mean volatility over some recent past. The volatility of the price as it vibrates around some path was considered but not the uncertainty of the path itself: the risk that it would shift down. The banks’ chief executives, too, had little grasp of uncertainty. Some had the instinct to buy insurance but did not see the uncertainty of the insurer’s solvency.

Much is dysfunctional in the US and the UK: a financial sector that turned away from the business sector, then caused its self-destruction, and a business sector beset by short-termism. If we still have our humanist values we will try to restructure these sectors to make capitalism work well again – to guard better against reckless disregard of uncertainty in the financial sector while reviving innovativeness in business. We will not close the door on systems that gave growing numbers rewarding lives.

The writer is director of the Center on Capitalism and Society, Columbia University, and winner of the 2006 Nobel Prize in Economics. To join the debate go to www.ft.com/capitalismblog"

Friday, April 3, 2009

our best guide to recovery from our present distress, not least because of its common-sense psychology

TO BE NOTED: From The New Republic:

"Shorting Reason

Richard A. Posner, The New Republic Published: Wednesday, April 15, 2009


Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism

By George A. Akerlof and Robert J. Shiller

(Princeton University Press, 264 pp., $24.95)

The economics profession has been greatly embarrassed by the economic crisis. The crisis began last September, with the crash of the banking industry (broadly defined, as it should be in this deregulatory era, to include investment banks and other financial intermediaries besides commercial banks), and of the stock market and other financial markets. It has since grown into the first depression since the 1930s, if one may judge from its global sweep, the pervasive anxiety that it has engendered among government officials as well as the business community and the public at large, and the trillions of dollars that nations have desperately committed to fighting it. The economists had assured us that there would never be another depression in the United States, because economics had discovered how to prevent depressions: if economic activity dropped, the Federal Reserve had only to push down interest rates, for this would induce banks to lend and consumers and businessmen to borrow, and the borrowed money would be used to finance consumption and production, restoring output to its level before the crash. Academic and government economists specializing in the business cycle were as surprised by the September collapse and the ensuing downward spiral of the economy as anyone, and were unprepared with plans for arresting it. Six months later they cannot agree on what should be done to recover from it. Not knowing what will work, the government is trying everything.

The idea that monetary policy--raising interest rates (and therefore reducing the amount of money in circulation, because interest is the price of putting money into circulation rather than hoarding it) to check inflation, and lowering interest rates to check economic downturns--holds the key to moderating the business cycle, and therefore to preventing depressions as well as inflations, has been falsified. The Federal Reserve has pushed interest rates way down, but the amount of lending has been tepid and economic activity has continued to fall--hence the bailouts of banks and other financial institutions and the $787 billion stimulus package recently enacted by Congress. The stimulus, a program of deficit spending, seeks to replace the loss of private demand, and the resulting decline in economic activity, brought about by the economic crisis. It seeks to do this by public works, such as the construction and repair of highways and other transportation infrastructure, designed to increase employment, and by tax cuts and welfare payments, which are intended to increase incomes directly and by doing so to stimulate spending.

In 1936, John Maynard Keynes argued in his great book The General Theory of Employment, Interest and Money that government could use deficit spending to replace private demand with public demand, and by doing so put a nation's unemployed to work. Over time, this position has encountered increasing opposition. Many influential economists came to oppose deficit spending on public projects, which injects the government deep into the economy and creates a risk of inflation and high taxes in the future. Increasingly economists favored the monetarist approach, championed most famously by Milton Friedman, which teaches that the proper management of the money supply is all that is needed to avert depressions, and that it can do so painlessly.

But now that monetarism has received a sharp blow to its solar plexus, much of the economics profession has thrown its support to the idea of a fiscal stimulus (while rightly critical of many of the details of the stimulus package enacted by Congress). Which is to say, it has thrown its support to Keynesianism. In Animal Spirits, two distinguished liberal economists, reflecting on the current depression, marry Keynes to "behavioral economics" and offer the resulting union as a replacement for conventional monetarist economics, and for rational-choice theory more broadly.

George A. Akerlof's and Robert Shiller's book is short, and aimed at the general reader (though the end notes and bibliography are strictly for economists), but it is intended to be taken seriously as a work of economic theory. Akerlof is an expert on frictions in consumer and employment markets. Shiller is an expert on speculative excesses, and he was one of the few economists to warn about the danger of the housing bubble that brought the economy low.

Their thesis is that the key to understanding depressions, and the ups and downs of the economy more generally, is psychology, which they call "animal spirits." They relate this emphasis on psychology to the new field of economics called "behavioral economics," which rejects the "rational man" model of conventional economic theory in favor of what its proponents consider a more realistic picture of human motivations and capacities. Akerlof and Shiller believe that if people were rational, there would be no depressions; but there are depressions, and so the rational model must be inadequate.

They want a pedigree, or a sacred text, to lend authority to their thesis, and they want to champion the liberal Keynes over the conservative Friedman. Hence their appropriation of the term "animal spirits" from a famous passage in The General Theory: "Most, probably, of our decisions to do something positive, the full consequences of which will be drawn out over many days to come, can only be taken as a result of animal spirits--of a spontaneous urge to action rather than inaction, and not as the outcome of a weighted average of quantitative benefits multiplied by quantitative probabilities.... Thus if the animal spirits are dimmed and the spontaneous optimism fades, enterprise will fade and die.... It is our innate urge to activity which makes the wheels go round, our rational selves choosing between the alternatives as best we are able, calculating where we can, but often falling back for our motive on whim or sentiment or chance."

Akerlof and Shiller think that by "animal spirits" Keynes meant "noneconomic motives and irrational behaviors," and they imply that he wanted government to "countervail the excesses that occur because of our animal spirits." This is a misreading. The passage in The General Theory is not about excesses, and it does not argue that "animal spirits" should be damped down. It is about the danger of paralysis in the face of uncertainty ("if the animal spirits are dimmed and the spontaneous optimism fades, enterprise will fade and die"). As Keynes's biographer Robert Skidelsky explains, The General Theory argues that "actual output is normally below 'potential' output; in depressions disastrously so. It is only in moments of 'excitement' that the economic machine works at full blast. This helps explain why economic progress has been so slow and fitful."

Keynes picked up from the American economist Frank Knight the distinction between calculable risk, the sort of thing on which insurance premiums are based, and uncertainty in the sense of a risk that cannot be quantified. (Keynes had published a treatise on probability theory in 1921.) The fact that businessmen would venture to invest at all in the face of uncertainty was a puzzle, and the explanation, Keynes argued, lay in emotion. You would have to be high-spirited--say, like Columbus--to embark on a costly, uncertain venture. In other words: nothing ventured, nothing gained.

What happens in a depression, and makes it a psychological event as well as an economic and political one, is that the economic environment becomes so uncertain that people freeze. Not only are businessmen afraid to invest, but consumers are afraid to spend; instead they hoard cash. Right now our banks, dubiously solvent and harassed by an angry Congress, are hoarding. Consumers are hoarding, too; the savings rate has shot up, and the increased savings are taking safe and rather inert forms--CDs, money market accounts, government securities, even currency and gold--that do not stimulate investment. Until animal spirits revive, the economy will not recover.

Keynes thought that if government put the unemployed to work, their animal spirits would rise, along with those of the contractors who hired the unemployed to perform the government's contracts. Even more important, people who were still employed but afraid they would soon be unemployed would regain confidence if unemployment fell and the threat to their own jobs thus receded. Feeling more confident about their future, they would begin to spend, and business would begin to invest. The vicious cycle of falling consumption, production, and employment would turn into a virtuous cycle of rising consumption, production, and employment. Keynes worried about stock market speculation, because he thought that speculators based their decisions on guesses about the psychology of other investors rather than on which companies had the best prospects and therefore should attract new investment. But he did not relate speculation to an excess of animal spirits.

Akerlof and Shiller believe that the key to understanding depressions lies in motives or behaviors that they regard as non-rational or irrational. They list "confidence," "fairness," "money illusion," the temptation to "corruption, " and susceptibility to "stories" and treat all of these as manifestations of "animal spirits." Only "confidence" comes within shouting distance of Keynes's understanding of animal spirits. But Akerlof and Shiller give it a negative charge that is alien to Keynes.

People buy common stock when stock prices are rising. They (notoriously) bought houses during the early 2000s when house prices were rising. Since almost no one can predict the ups and downs of the stock market or the housing market, these purchases must have been motivated, Akerlof and Shiller argue, by something other than a rational investment strategy. But this is not at all obvious, or implied by Keynes's usage. Stocks have generally been a good investment, at least when held for a considerable period. And since no one is able to time market turns, no one knows when the market is overpriced and therefore when one should sell rather than buy. Indeed, the idea of selling at the "top" of the market is incoherent, because if it were known that stock prices had peaked, no one would buy. Buying stock, or buying a house, is at any time a guess about the future, a venture into the unknown. Yet that does not imply irrationality.

In the early 2000s, interest rates were very low because of a mistaken decision by Alan Greenspan (but who knew?); and since a house is a product purchased with debt (a mortgage), houses became a more than usually attractive investment. The housing stock expands only slowly because it is so durable, so the increase in demand for houses outran the increase in supply (new housing starts), causing prices to rise. Since very few economists and no government officials warned of a bubble, it was not irrational for people to think that houses were a good investment, even though house prices had risen steeply since the 1990s.

They were wrong. But mistakes and ignorance are not symptoms of irrationality. They usually are the result of limited information. Ben Bernanke, in October 2005, just before the housing bubble began to leak air, denied that the rise in housing prices was a bubble. Was he irrational? That the errors of experts can lead to disaster is hardly a novelty, but it does not follow that only an irrational person would heed the advice of experts.

Akerlof and Shiller rightly associate booms with "new era" thinking, but wrongly deem such thinking irrational. Stocks soared in the late 1920s because it was a period of rapid economic growth based on rapidly rising labor productivity and new products such as the massproduced automobile, new methods of retailing such as the chain store, and new methods of finance such as installment buying and the purchase of common stock on margin. There was no reason to think that existing stock prices reflected an exaggerated expectation of increased wealth in so dynamic an era. The late 1990s were likewise heralded as a new era, this time on the basis of expectations that the computer would transform the economy. The early 2000s seemed to most people still another new era, this one based on the seemingly magical conjunction of low interest rates with low inflation, rising asset values, and new financial instruments that were believed to enable greater lending and borrowing with less risk. In all three cases the new era turned out, at least in the short run, to be a false dawn, and an asset-price crash ensued. Given the uncertainty of the economic environment, stressed by Keynes, such disappointments are not surprising, and they do not show that investors are irrational.

Nor are booms the result, as Akerlof and Shiller curiously argue, of "corruption scandals." They think that economic downturns are preceded by increases in corruption, and they give examples. The oddest is the widespread violation of the prohibition laws in the 1920s, but they also note the financial scandals exposed by investigations of Wall Street that Congress conducted in the ensuing depression. They think that mortgage fraud was a major cause of the present crisis. How all this relates to animal spirits is unclear, but in any event they are wrong about the causality. Warren Buffett had it right: until the tide goes out, you cannot know who is swimming naked. A crash exposes frauds; it is rarely caused by them. Bernard Madoff's Ponzi scheme fell apart when, as a consequence of the stock market crash last fall, his investors--their wealth diminished and their animal spirits crushed--tried to withdraw money from his phony hedge fund. The scheme itself was not a cause of the crash.

There was more than the usual amount of mortgage fraud during the housing bubble, but it was not the cause of many millions of people overpaying for houses, as we know with the benefit of hindsight that they did. Cheap credit and soaring house values were the immediate causes of the bubble and of all that followed when it burst. The underlying causes were the deregulation of financial services; lax enforcement of the remaining regulations; unsound decisions on interest rates by the Federal Reserve; huge budget deficits; the globalization of the finance industry; the financial rewards of risky lending, and competitive pressures to engage in it, in the absence of effective regulation; the overconfidence of economists inside and outside government; and the government's erratic, confidence-destroying improvisational responses to the banking collapse.

Some of these mistakes of commission and omission had emotional components. The overconfidence of economists might even be thought a manifestation of animal spirits. But the career and reward structures, and the ideological preconceptions, of macroeconomists are likelier explanations than emotion for the economics profession's failure to foresee or respond effectively to the crisis.

That animal spirits droop in a bust is no more anomalous than that they soar in a boom. To freeze and to hoard is a perfectly sensible reaction to an increase in economic uncertainty, whether one is a businessman or a consumer. It is individually rational behavior, though bad for the economy. Rich women think they are helping the economy by cutting down on luxury purchases; they are merely increasing unemployment in retailing.

While for Keynes "confidence" (or "animal spirits") was the key to getting out of a depression, for Akerlof and Shiller it is something to be chilled down in order to prevent booms that might turn into busts. This inversion of Keynes may explain the strangest statement in the book: that "both presidents are heroes of ours," the two presidents being Herbert Hoover and Franklin Roosevelt. Both are "heroes" because both ran budget deficits and created new agencies to regulate the economy.

But there is a significant historical difference that Akerlof and Shiller overlook. In the three years of depression during which Hoover was president, confidence drained out of the economy. The depression touched bottom at the end of his term, and turned around within days of Roosevelt's inauguration. As Gauti Eggerstsson recently explained in the American Economic Review, Hoover's adherence to the gold standard, and his determination to keep government small (so no Keynesian stimulus) and raise taxes to try to balance the budget, created a rational expectation of continued economic contraction, dampening the economy's animal spirits. Roosevelt's decision, made promptly upon his taking office, to go off the gold standard (in effect), push up prices (in order to end deflation), and engage in massive (for the time) deficit spending, created an expectation of economic recovery. This expectation had positive effects on the economy even before the new policies could take effect. Roosevelt restored confidence, which Hoover had killed, and renewed confidence restarted the economic engine.

A weakness of Akerlof's and Shiller's book is a failure to define their target: the rational model of human behavior. If rationality means omniscience, then it is indeed an unsound premise for economic reasoning. If it means reasoning unaffected by emotion, then it misunderstands emotion. The word "emotional" has overtones of irrationality, but actually emotion is at once a form of telescoped thinking (it is not irrational to step around an open manhole "instinctively" without first analyzing the costs and benefits of falling into it) and a prompt to action that often, as in the case of investment under uncertainty, cannot be based on complete or even good information and is therefore unavoidably a shot in the dark. We could not survive if we were afraid to act in the face of uncertainty.

Irrationality is not the courage to act. Irrationality is to be found in the cognitive quirks that we owe to the human brain having evolved in a very different environment from our present one. We are poor at evaluating low-probability events because in the ancestral environment (as evolutionary biologists call it) there was little that could be done about such events. The sense of the irrational that merchants exploit--that a price of $5.99 is meaningfully less than $6.00--is a trace of the limited value in that environment of being able to evaluate fine differences. These quirks do not explain depressions.

As one reads this book, one has the sense that deep down Akerlof and Shiller believe that being rational is the same as being right. That is a mistake. It prevents them from entertaining the possibility that what has now plunged the world into depression is a cascade of mistakes by rational businessmen, government officials, academic economists, consumers, and homebuyers, operating in an unexpectedly fragile economic environment, and that what is retarding recovery is not the "unreasoning fear" of which Franklin Roosevelt famously spoke but the rational fears--the reasoning fear, to use Roosevelt's idiom--of businesspeople, consumers, and officials who confront economic uncertainties for which no one had prepared them.

Akerlof and Shiller invoke "fairness" and "money illusion" to explain the puzzling behavior of employment and wages in a depression. It may seem obvious that employment would fall in a depression. But it is not. If demand for a firm's products falls, the firm will have less revenue, and therefore it will have to cut its costs, including its labor costs, to survive. So why not just cut its workers' wages and explain to them why? If they stalk off in anger, the employer should have no difficulty in hiring replacements at the lower wage, for in the unsettled conditions of a depression it will be attractive to other workers. Or suppose, as often happens in a depression (and may still happen in our current one), the general price level falls. In a deflation, the same amount of money buys more, because prices are lower. So one might expect an employer to say to his employees, "Since the purchasing power of the dollar has risen, I am going to cut your wage, as otherwise, by receiving the same amount of money when its purchasing power has increased, you would be receiving a wage increase, which makes no sense in a depression." (Among the paradoxes of depression is that we want wages to fall, so that producers will have lower costs and will therefore produce more and so hire more workers. This is not understood by the politicians who are pushing for legal changes that will encourage unionization. They should wait until we are out of the woods.)

Wages do fall in a deflation, but not as far as prices; and employers do generally prefer to economize on labor costs by laying off workers rather than by reducing their wages. The resistance of workers to having their wages cut in a deflation, a resistance that in the Great Depression of the 1930s produced a sharp rise in real incomes for many workers while others were on breadlines, is ascribed by Akerlof and Shiller to workers' sense of "fairness"--of their sense of entitlement to their existing wage--and to "money illusion," by which they mean the failure to distinguish between the amount of money one receives as a wage (the nominal wage) and the purchasing power of the wage (the real wage). They also argue that employers deliberately "overpay" their workers in order to boost morale and loyalty. But this does not explain why nominal wages are not cut during a depression in order to maintain (not cut) real wages.

There is a simpler explanation for unemployment in depressions, one that dispenses with irrationality. A worker who, rather than being paid a flat wage, is paid a percentage of his firm's income would be unlikely to complain when his wage dropped in a depression; he would know that his wage was variable, and he would plan his life accordingly. But if paid a fixed wage, he is likely to count on it as a steady source of income. Since depressions are rare and have unpredictable consequences, he will not have been able to protect himself from the consequences of a depression-induced cut in his wage. He is going to be upset to find that he is working as hard or harder but being paid less, and he will not be reassured by being given a lecture on deflation and purchasing power, because he will not understand or believe it. And whereas wage cuts make the entire work force unhappy, layoffs make just the laid-off workers unhappy, and since they are no longer on the premises they do not demoralize the remaining work force by their unhappy presence. The employer, for this and other reasons--such as wanting to economize on benefits and overhead and induce the remaining workers to work harder lest they be laid off too--is likely to prefer laying off workers to cutting wages. (Unemployment insurance is a factor as well.)

This explanation for unemployment in depressions is consistent with Akerlof and Shiller in giving weight to cognitive and emotional factors (workers do not understand deflation, unhappy workers can demoralize the workplace), but it avoids jargon and condescension and the fascination with irrationality. Yet it may be too simple to please an academic economist. One reason why Keynes fell into disfavor among academic economists, and why Akerlof and Shiller want to dress him in the garb of a behavioral economist, is that although he was a brilliant economist and remains a hero of liberal economists, he was not a formal or systematic thinker. He belonged to the era before economists insisted on mathematizing the discipline. The General Theory is beautifully written--and full of loose ends and puzzling omissions. Keynes was a self-taught economist and a part-time academic. He had a rich and varied non-academic life as a government official and adviser, journalist, speculator, academic administrator, and member of the Cambridge Apostles and the Bloomsbury group. Having observed how people, including himself, behaved in the real world, he was unself-conscious about incorporating into economic theory such unsystematized and untheorized concepts as "animal spirits" (and its opposite, "liquidity preference"--the desire to hoard cash rather than spend or invest it).

The complexity of a modern economy has defeated efforts to create mathematical models that would enable depressions to be predicted and would provide guidance on how to prevent them or, failing that, to recover from them. The insights of behavioral economics have not done the trick, either. Shiller is to be commended for spotting bubbles, but few if any other behavioral economists noticed them; and he and Akerlof offer no concrete proposals for how we might recover from the current depression and prevent a future one. They want credit loosened, but so does everyone else--so did Keynes, who criticized our government for tightening credit in the early stages of the Great Depression.

We will discover soon enough whether the measures taken by the Obama administration are reviving the animal spirits of producers and consumers. The intentions are good. But the lack of focus, the partisan squabbling, the dizzying policy oscillations, the delays in execution, and the harassment of bankers are bad. By increasing the uncertainty of the business environment, these things are dampening the animal spirits--the courage to reason and act in the face of an uncertain future. Seventy-three years after the publication of The General Theory, it may still be our best guide to recovery from our present distress, not least because of its common-sense psychology.

Richard A. Posner "

Saturday, March 28, 2009

the portrayal by contemporary models of the “market economy as a mechanical system.”

TO BE NOTED: From the Economist's View:

"Mathematical Formalism in Economics

Roman Frydman responds to the response to the Anatole Kaletsky article, Goodbye, homo economicus:

Your posting of Kaletsky’s article has led to a much overdue discussion of the usefulness of mathematical formalism for understanding market outcomes. This is particularly important as the recent discussions of failures of economic models have focused on specific assumptions, such as incompleteness of markets, contracts or nonlinearities (Willem Buiter), or neo-Keynesian versus new classical approaches (Paul Krugman).

The attached note, which draws heavily on my recent book and subsequent papers with Michael Goldberg, argues that the question of whether and what type of mathematical formalism can help us understand market outcomes in modern capitalism is more subtle than Kaletsky’s critics might have realized.

Here's the note:

What type of mathematical formalism can help us understand market outcomes in modern capitalism?

Mark Thoma reports that the article by Anatole Kaletsky Goodbye, homo economicus, calling for an intellectual revolution in economics, “did not get the best reception here and elsewhere, and there were also protests that arrived by email.”

What really irked Kaletsky’s antagonists was his attack on the use of mathematical formalism in economics. But what has gone completely unnoticed in the subsequent discussion is that Kaletsky’s attack on mathematical formalism focused not on the use of mathematics in economics as such, but on the portrayal by contemporary models of the “market economy as a mechanical system.”

This characterization of contemporary macro and finance models seems uncontroversial. Regardless of whether these models are based on REH or behavioral considerations, they represent the causal mechanisms that supposedly underpin change on individual and aggregate levels through mechanical rules. Thus, they ignore the key feature of modern economies: the fact that individuals and companies engage in innovative activities, discovering new ways of using existing physical and human capital and technology, as well as new technologies and new capital in which to invest.

Moreover, the institutions and the broader social context within which this entrepreneurial activity takes place also change in novel ways. Innovation in turn influences future returns from economic activity in ways that no one, including economists, and market participants, can fully foresee, and thus that do not conform to any rule that can be prespecified in advance.

In our recent book, Imperfect Knowledge Economics (IKE), Michael Goldberg and I trace the empirical failures and fundamental epistemological flaws within the contemporary models of “rational” or “irrational” behavior to a common source: in modeling aggregate outcomes, contemporary economists fully prespecify the causal mechanism that underpins change in real-world markets.

To remedy this flaw, IKE jettisons mechanical models of change and attempts to construct economic models of individual behavior and aggregate outcomes on the basis of qualitative regularities that can be formalized with mathematical conditions. An aggregate model based on such micro-foundations generates only qualitative predictions of market outcomes.

This brings us back to the key question: whether, and if so, some mathematical formalism might be useful in our quest to understand individual behavior and market outcomes.

In our recent paper, Macroeconomic Theory for a World of Imperfect Knowledge, Goldberg and I show that the answer to this question may lie in the non-standard use of probabilistic formalism.

Our article has an extensive formal analysis of what this might entail and what it implies both theoretically and empirically. However, for the reader who is interested in a quick overview, it might be useful to reproduce one section (4.1.1.) of our article that does so more informally. The paragraphs that follow discuss how IKE explores the middle ground between Knight’s and Keynes’s arguments against the use of standard probability theory in economic analysis and contemporary reliance on models that generate “sharp predictions”: one “overarching” probability distribution, which is presumed to adequately capture market outcomes, past and future.

Contemporary models represent outcomes at each point in time -- and thus how they unfold over time -- with a single "overarching" conditional probability distribution. The relationships between the moments of this distribution and the set of causal variables constitute the model's empirical content that can be confronted with the time-series data.

By contrast, early modern economists argued that standard probabilistic representations cannot adequately represent change. Indeed, both Frank Knight and John Maynard Keynes emphasized that economic decisions and institutional and policy changes are fraught with radical uncertainty; the complete set of outcomes and their associated probabilities can neither be inferred from past data nor known in advance.

Radical uncertainty is often thought of as a situation in which no economic theory is possible: neither economists (nor market participants) are able to represent mathematically any aspects of the causal mechanism underpinning change. IKE adopts an intermediate position between radical uncertainty and the contemporary presumption that models that fully prespecify change are not only within reach of economic analysis, but anything less is not worthy of scientific status.

Of course, if economic decisions stem only from erratic "animal spirits," no economic theory is possible. As Edmund Phelps recently put it, "animal spirits can't be modelled." Although animal spirits may play a role, IKE explores the possibility that individual decision-making displays some qualitative regularity that can be represented with a mathematical model.

Departing from the position of Knight and Keynes, IKE makes use of probabilistic formalism. This facilitates the formalization of conditions that specify the microfoundations of IKE models and the mathematical derivation of their qualitative implications. However, IKE recognizes the importance of early modern arguments that market participants, let alone economists, have access to only imperfect knowledge of which causal factors may be useful for understanding outcomes and how they influence those outcomes.

Like extant approaches, IKE represents revisions of market participants' forecasting strategies, and more broadly change in how individuals make decisions, with transitions across probability distributions. But IKE constrains these revisions with qualitative conditions only. Consequently, it does not follow extant approaches in presuming that individual decision making and market outcomes can be adequately represented with a single overarching probability distribution. At the same time, IKE does not adopt the other extreme position that uncertainty is so radical as to preclude economists from saying anything useful and empirically relevant about how market outcomes unfold over time.

Because its restrictions on change are qualitative, IKE models represent outcomes at every point in time with myriad probability distributions. Nevertheless, the qualitative restrictions of IKE models constrain all transitions across probability distributions to share one or more qualitative features. These common features, which are embodied in what we call partially predetermined probability distributions, enable economists to model mathematically some aspects of the causal mechanism that underpin individual decision making and market outcomes. Such probabilistic representations constitute the empirical content of IKE models.

Although IKE acknowledges the limits to knowledge, it constrains its models sufficiently to distinguish empirically among alternative explanations of aggregate outcomes. In our book, we develop several alternative IKE models and show that their qualitative predictions enable us to reject some in favor of others on the basis of time-series data. Jettisoning sharp predictions may appear to lower the "scientific standard" that economists have self-imposed on their models. But as Friedrich Hayek anticipated, replacing the "pretense of exact knowledge" with imperfect knowledge as the foundation for economic analysis is crucial for understanding markets. Remarkably, stopping short of sharp predictions is also necessary to escape the epistemological flaws of extant fully predetermined models.”

In our book, we show how IKE models shed new light on the salient features of the empirical record on exchange rates, which have confounded international macroeconomists for decades. In part III of Macroeconomics for a World of Imperfect Knowledge, Michael and I sketch our methodology and show how it can be applied to study price movements in other asset markets. Although these results are promising, it is much too early to claim broader usefulness for IKE in macroeconomic and policy modeling.

Moreover, our discussion reveals that the question as to whether mathematical formalism may help us understand economic phenomena is more subtle than Kaletsky’s critics might have realized. As Kaletsky points out, early modern economists relied on a largely narrative mode of analysis. Although imprecise by contemporary standards, narrative accounts had the important advantage of leaving economists relatively free to explore the complexity and opaqueness of the interdependence between individual rationality, the social context of decision-making, and market outcomes. (Of course, a narrative mode of analysis also constrains argument, but this constraint is relatively weak compared to the rigor of mathematical language.)

Indeed, the giants of early modern economics uncovered remarkably powerful and durable insights, such as Hayek's prescient prediction that socialist planning is bound in principle to fail; Knight's assertion that standard probabilistic uncertainty cannot adequately characterize business decisions; and Keynes's closely related arguments concerning the importance of radical uncertainty, the social context, and conventions for forecasting returns and risk on investment in real and financial assets. These insights point to the fundamental flaw in the research program of contemporary economists: the causal mechanism that underpins change in capitalist economies is not completely intelligible to anyone, including market participants, economists, policy officials, or social planners.

In contrast to the conventional approach, which seeks to understand economic decisions with universal mechanistic rules, the constraints of IKE models are qualitative and context dependent. If qualitative regularities can be established in contexts other than asset markets, IKE can show how they can be incorporated into mathematical models. But in contexts in which change cannot be adequately characterized with reasonably long-lasting qualitative conditions, empirically relevant models of the observed time-series may be beyond the reach of economic analysis. In this sense, IKE provides the boundary to what modern macroeconomic theory --- which aims to explain empirical regularities in aggregate outcomes with models that are based on mathematical microfoundations --- can deliver."

Sunday, February 1, 2009

if you can’t explain the propensity to hoard, then you can’t explain our current predicament.

From Free Exchange:

"Blanchard roundtable: Where economists fear to tread
Posted by:
The Economist | DELHI
Categories:
Blanchard roundtable

OLIVIER BLANCHARD provides a disturbing account of what Knightian uncertainty means for the economy; let me offer a few untutored thoughts about what it means for economics.

Economists do not, in fact, follow Knight’s work very much. The discipline shys away from his concept of uncertainty (as distinct from risk), because it is, by definition, so hard to model. If economists could model it, then so could firms and investors. The future would be calculable, if not knowable, and there would be less excuse for bewildered inaction.

Paul Samuelson once went so far as to argue that economics must surrender its pretensions to science if it cannot assume the economy is “ergodic”, which is a fancy way of saying that Fortune’s wheel will spin tomorrow much as it did today (and that tomorrow's turn of the wheel is independent of today's). To relax that assumption, Mr Samuelson has argued, is to take the subject “out of the realm of science into the realm of genuine history”.

The scientific pose has great appeal. But this crisis is reminding us again of its intellectual costs. Knightian uncertainty may be fiendishly hard to fathom, but ignoring it, as economists tend to do, makes other phenomena devilishly hard to explain. The thirst for liquidity—the sudden surge in the propensity to hoard—is one example. If risks are calculable, then investors will place their bets and roll the dice. Only if they are incalculable will they try to take their chips off the table altogether, in a desperate scramble for cash (or near-cash). As Keynes put it, “our desire to hold money as a store of wealth is a barometer of the degree of our distrust of our own calculations and conventions concerning the future.”

We journalists make great sport poking fun at the techniques on which financial markets have relied—the value-at-risk models with their normal distributions—much as Keynes scorned all those “pretty polite techniques, made for a well-panelled board room and a nicely regulated market”. But as economists (or as friends of economics) we have to fess up that the models that led banks astray are, fundamentally, ours—they spring from the same intellectual tradition. My suspicion, perhaps unfair, is that in recent years too much macroeconomic theory itself became “one of these pretty, polite techniques which tries to deal with the present by abstracting from the fact that we know very little about the future.”

As Mr Blanchard’s article makes clear, if you can’t explain the propensity to hoard, then you can’t explain our current predicament. And a macroeconomics that cannot explain this crisis is hardly worthy of the name."

Me:
Paul Samuelson once went so far as to argue that economics must surrender its pretensions to science if it cannot assume the economy is “ergodic”, which is a fancy way of saying that Fortune’s wheel will spin tomorrow much as it did today (and that tomorrow's turn of the wheel is independent of today's). To relax that assumption, Mr Samuelson has argued, is to take the subject “out of the realm of science into the realm of genuine history”.

Much of economics is Correlative Explanation and Reasoning. It is not cause and effect. Math can be useful in describing relations, as long as those relations continue to hold. Where behavior is concerned, or any teleological action, you will have correlative reasoning and explanation.

The math models used are simply useful in simple ways. What is shocking is that, compared to the old practitioners of political economy, which will always be the really important realm of understanding these issues, current economists don't seem to have a philosophy of action or math that can explain their assumptions. Consequently, many spit out mechanistic explanations, or versions of dubious psychological theories like behaviorism.

The only way to explain Political Economy is through a Human Agency approach or explanation. The only way to explain hoarding is such an approach. I have found Fisher's Debt-Deflation model to be of great help, but that model also needs a more robust human agency explanation to fill it out.

One famous economist recently mocked Shiller's 'trust' as hard to measure. In saying this, he showed that he had no clear idea of what is involved in a human agency explanation, nor a clear idea of what the limitations of measurement are. It is would interesting to hear the assumptions and presuppositions underlying his basic view of human behavior, if he has one.

Incidentally, I find Bagehot to be still valuable for understanding our current crisis.
2/1/2009 4:25 PM GST

Saturday, January 24, 2009

banks found a “solution” to this mismatch between the demand for safe assets and the expansion of supply through the creation of risky subprime assets

From Ricardo Caballero on Vox:

"In a pair of Vox columns, one of the world’s most respected macroeconomists suggests that the consensus view of the crisis’s causes and cures is flawed. This first column focuses on the crisis’s deep causes. Global excess demand for safe assets played a role in building the ‘accident waiting’ to happen. Now, investors’ fears of unknown unknowns – Knightian uncertainty – is why the waiting mountains of cash are not acting as “stabilising speculation”.

This is a financial crisis to remember. The financial losses are measured in trillions of dollars; elite financial institutions have fallen; fear and mistrust( FEAR AND AVERSION TO RISK ) are widespread among investors and lenders; credit markets are not operating except for those with very short maturities; massive and unorthodox policy interventions are an every day occurrence; and we have been, and continue to be, on the verge of a global financial meltdown( A CALLING RUN ).

How did we get into this situation? What should we do to get out of it and to prevent a relapse?

This pair of Vox columns addresses these questions, suggesting that the consensus view of the crisis’s causes and cures is flawed. (These columns are based on a talk at MIT’s 20 January 2009 Economics Alumni dinner in New York City.)

The emerging consensus

There is an emerging consensus on the causes of the crisis which essentially rehashes an old list of complaints about potential excesses committed in the phase prior to the crisis. The sins include uncontrolled global imbalances, unscrupulous lenders( THIS IS TRUE ), and an insatiable Wall Street, all of them lubricated by an ever expansionary Federal Reserve.

It follows from this perspective that the appropriate policy response is to focus on reducing global imbalances, boosting financial regulation( INVESTIGATING AND PROSECUTING CRIME ), bringing down leverage ratios, and adding bubble-control to the Fed’s mandate.

I do not share this consensus view and its policy prescriptions.

The rest of this column develops my view of the crisis’s causes. I start with the pre-crisis phase and then portray the current crisis as primarily a run on all forms of private insurance.

My second column discusses optimal economic policy in this environment.

The pre-crisis phase: Global excess demand for safe assets

For quite some time, but in particular since the late 1990s, the world has experienced a chronic shortage of financial assets to store value. The reasons behind this shortage are varied. They include the rise in savings needs by aging populations in Japan and Europe, the fast growth and global integration of high saving economies, the precautionary response of emerging markets to earlier financial crises, and the intertemporal smoothing of commodity producing economies.

The immediate consequence of the high demand for store-of-value instruments was a sustained decline in real interest rates. Conventional wisdom blames these low rates on loose monetary policy, but this position is difficult to reconcile with facts from the period of the so-called “Greenspan conundrum’’ – when tightening monetary policy had virtually no impact on long rates. In my view, the solution to the apparent conundrum is that low long rates were driven by the large demand for store-of-value instruments, not short-term monetary policy considerations.( A GOOD POINT )

Global imbalances were created by the demand for safe US assets

Low real interest rates are an equilibrium response by which the market creates value out of existing financial assets. Yet another mechanism to increase asset supply is the creation of new assets, including the emergence of the many speculative bubbles that we have seen over the last decade (some of which are legal and some are not – e.g., the NASDAQ bubble and the Madoff scheme, respectively).

Moreover, because of the US’s role as the centre of world capital markets, much of the large global demand for financial assets has been channelled toward US assets. This has been the main reason for the large global “imbalances” observed in recent years. The large current account deficits experienced by the US are simply the counterpart of the large demand for its assets.( OK )

How the subprime mortgage market fits in

Under this perspective, there is a more subtle angle on subprime mortgages than simply being the result of unscrupulous lenders( I'M SORRY. THIS IS A FACT. ). The world needed more assets and the subprime mortgages were helping to bridge the gap. So far so good.

However, there was one important caveat that would prove crucial later on. The global demand for assets was particularly for very safe assets( HERE IS THE PROBLEM WITH HIS THESIS. ) – assets with AAA credit ratings. This is not surprising in light of the importance of central banks and sovereign wealth funds in creating this high demand for assets. Moreover, this trend toward safety( REALLY? ) became even more pronounced after the NASDAQ crash.

Soon enough, US banks found a “solution” to this mismatch between the demand for safe assets and the expansion of supply through the creation of risky( YES ) subprime assets( WHAT ABOUT THE LOWER CAPITAL REQUIREMENTS? ); the market moved to create synthetic AAA instruments. This consisted of pooling subprime mortgages on the asset side of a Structured Investment Vehicle (SIV), and to tranch (slice) the liability side to generate a AAA component buffered by the now ultra volatile “toxic” residual. The latter was then pooled again into Collateralized Debt Obligations (CDOs), tranched again, and then into CDO-squared, and so on. At the end of this iterative process, many new AAA assets were produced out of some very risky subprime mortgages.( TRUE )

Safe and risky tranches: An accident waiting to happen

The AAA tranches so created were held by the non-levered sector of the world economy, including central banks, sovereign wealth funds, pension funds, etc. They were also held by a segment of the highly-levered sector( THAT WAS THE POINT ), especially foreign banks and domestic banks that kept them on their books, directly and indirectly, as they provided attractive “safe” yields. The small toxic component was mostly held by agents that could handle the risk, although highly levered investment banks also were exposed.( YES )

Much of the focus on the regulatory and credit agency mistakes highlights the fact that the AAA tranch seems to have been too large relative to the “true” capacity of the underlying risky instruments to create such a tranche. While I agree with this assessment, I believe it is incomplete and, because of this, it does not point to the optimal policy response.

Individual default risk vs severe macro risk

Instead, I believe the key issue is that even if we give the benefit of the doubt to the credit agencies and accept that these instruments were indeed AAA from an unconditional probability of default perspective (the only one that counts for credit agencies), they were not so with respect to severe macroeconomic risk.( YES. WE'VE SEEN THAT. )

This created a highly volatile concoction where highly levered institutions of systemic importance were holding assets that were very vulnerable to aggregate shocks. This was an accident waiting to happen.( YES )

The (insurance) crisis: Triple A turns toxic, fear of the unknown spreads

And happen it did. It started without much fanfare sometime in 2006, limited to the housing sector and the associated subprime mortgage market. Eventually, it spread to the financial sector as the securitisation markets supported by these mortgages and other risky loans began to freeze. As this happened, conventional margin and collateral feedback mechanisms amplified the incipient liquidity problem( A CALLING RUN ). Then suddenly, the soundness of the AAA instruments created from risky loans in the previous phase were questioned. In particular, economic agents realised that they didn’t quite understand what was behind these instruments (Caballero and Krishnamurthy 2008a).( NO WAY )

This confusion was the first inkling of something that would later ravage global financial markets. Financial institutions specialise in handling risk but are not nearly as efficient in dealing with uncertainty.

Uncertain versus risk

To paraphrase a recent secretary of defence, risk refers to situations where the unknowns are known, while uncertainty refers to situations where the unknowns are unknown. This distinction is not only linguistically interesting, but also has significant implications for economic behaviour and policy prescriptions.

There is extensive experimental evidence that economic agents faced with (Knightian) uncertainty become overly concerned with extreme, even if highly unlikely, negative events. Unfortunately, the very fact that investors behave in this manner make the dreaded scenarios all the more likely.( OK )

US Treasury’s uncertain response makes things worse

Worsening the situation, until very recently, the policy response from the US Treasury exacerbated rather than dampened the uncertainty problem.( TRUE )

Early on in the crisis, there was a nagging feeling that policy was behind the curve( YES ); then came the “exemplary punishment” (of shareholders) policy of Secretary Paulson during the Bear Stearns intervention, which significantly dented the chance of a private capital solution to the problem( NO. THERE WAS NO PRIVATE CAPITAL SOLUTION. IN FACT. FORGET THE THEORY. ); and finally, the most devastating blow came during the failure to support Lehman( YES ). The latter unleashed a very different kind of recession, where uncertainty( A CALLING RUN ) ravaged all forms of explicit and implicit financial insurance markets.

In the next column I discuss what should be done in light of my analysis of the causes of this financial crisis.

References

Knightian Uncertainty and its Implications for the TARP
Ricardo J. Caballero and Arvind Krisnamurthy
Financial Times, November 24, 2008

Paulson Plan: "Exemplary Punishment" Could Backfire
Ricardo J. Caballero and Pablo Kurlat
Financial Times, The Economists' Forum, Monday, 29 September, 2008

"Musical Chairs.pdf"
Ricardo J. Caballero and Arvind Krishnamurthy
February 2008a

Global Imbalances and Financial Fragility
Ricardo J. Caballero and Arvind Krishnamurthy
December 16, 2008b

Financial Crash, Commodity Prices and Global Imbalances
Ricardo J. Caballero, Emmanuel Farhi, Pierre-Olivier Gourinchas
November 17, 2008 (forthcoming, Brookings Papers on Economic Activity)

Flight to Quality and Bailouts: Policy Remarks and a Literature Review
Ricardo J. Caballero and Pablo Kurlat
October 2008

Collective Risk Management in a Flight to Quality Episode
Ricardo J. Caballero and Arvind Krisnamurthy
Journal of Finance, Vol. 63, Issue 5, October 2008

An Equilibrium Model of "Global Imbalances" and Low Interest Rates

Ricardo J. Caballero, Emmanuel Farhi, and Pierre-Olivier Gourinchas
American Economic Review 2008, 98:1, pgs 358-393.

On the Macroeconomics of Asset Shortages
The Role of Money: Money and Monetary Policy in the Twenty-First Century
The Fourth European Central Banking Conference 9-10 November 2006, Andreas Beyer and Lucrezia Reichlin, editors. Pages 272-283."

I don't see that he gets near to the roots of the problem. He's defined a kind of paradox: People looking for safe assets wound up with risky assets. No way. The flight to safety occurred in the crisis. The investors were looking for risky assets. They wanted instruments that allowed for more profit with less capital behind it. They were in search of investments that paid more than the safe assets, which were yielding very little. The LTCM debacle had already shown the possibility that a Calling Run could be triggered by a series of seemingly sensible investments. There was no private capital solution to Bear Stearns, unless he means a brokered deal guaranteed and underwritten by the government. There was massive fraud involved at all levels. Everything that we have seen has shown that these big banks have been counting on government help in a crisis, as in the S & L Crisis. There's no evidence at all for a free market approach by them that doesn't involve government guarantees. Finally, Knightian Uncertainty is not very helpful. How do you know that you can't anticipate something until it happens? All this uncertainty talk sounds like throwing up your hands in a panic at the fickleness and vicissitudes of life. It sounds like "I know that I don't know". How old is that truism? He should read Bagehot and Fisher. Fisher explains the problem, and Fisher and Bagehot give the solution. Sad to say, our current crop of economists offer much less wisdom than our earlier ones, including Keynes, because the earlier thinkers dealt with Political Economy, which seems to be a lost art nowadays.