This guy has some issues with Rational Expectations

I just happened across this interesting panel discussion from a couple years ago featuring a number of economists involved with the Rational Expectations movement, either as key proponents (Robert Lucas) or critics (Bob Shiller). A fascinating exchange comes late on when they discuss Jack Muth -- ostensibly the inventor of the idea, although others trace it back to an early paper of Herb Simon -- and Muth's later attitude on this assumption. It seems that Muth came to doubt the usefulness of the idea after he looked at the behaviour of some business firms and found that they didn't seem to follow the Rational Expectations paradigm at all. He thought, therefore, that it would make sense to employ some more plausible and realistic ideas about how people form expectations, and he pointed, even in the early 1980s, to the work of Kahneman and Tversky.

I'm just going to quote the extended exchange below, including a comment from Shiller who makes the fairly obvious point that if economics is about human behavior and how it influences economic outcomes, then there clearly ought to be a progressive interchange between psychology and economics, and from Lucas who, amazingly enough, seems to find this idea utterly abhorrent, apparently because it may spoil economics as a pure mathematical playground. That's my reading at least:

Lovell
I wish Jack Muth could be here to answer that question, but obviously he can’t because he died just as Hurricane Wilma was zeroing in on his home on the Florida Keys. But he did send me a letter in 1984. This was a letter in response to an earlier draft of that paper you are referring to. I sent Jack my paper with some trepidation because it was not encouraging to his theory. And much to my surprise, he wrote back. This was in October 1984. And he said, I came up with some conclusions similar to some of yours on the basis of forecasts of business activity compiled by the Bureau of Business Research at Pitt. [Letter Muth to Lovell (2 October 1984)] He had got hold of the data from five business firms, including expectations data, analyzed it, and found that the rational expectations model did not pass the empirical test.

He went on to say, “It is a little surprising that serious alternatives to rational expectations have never really been proposed. My original paper was largely a reaction against very näıve expectations hypotheses juxtaposed with highly rational decision-making behavior and seems to have been rather widely misinterpreted. Two directions seem to be worth exploring: (1) explaining why smoothing rules work and their limitations and (2) incorporating well known cognitive biases into expectations theory (Kahneman and Tversky). It was really incredible that so little has been done along these lines.”

Muth also said that his results showed that expectations were not in accordance with the facts about forecasts of demand and production. He then advanced an alternative to rational expectations. That alternative he called an “errors-in-the-variables” model. That is to say, it allowed the expectation error to be correlated with both the realization and the prediction. Muth found that his errors-in-variables model worked better than rational expectations or Mills’ implicit expectations, but it did not entirely pass the tests. In a shortened version of his paper published in the Eastern Economic Journal he reported,

“The results of the analysis do not support the hypotheses of the naive, exponential, extrapolative, regressive, or rational models. Only the expectations revision model used by Meiselman is consistently supported by the statistical results. . . . These conclusions should be regarded as highly tentative and only suggestive, however, because of the small number of firms studied. [Muth (1985, p. 200)]

Muth thought that we should not only have rational expectations, but if we’re going to have rational behavioral equations, then consistency requires that our model include rational expectations. But he was also interested in the results of people who do behavioral economics, which at that time was a very undeveloped area.

Hoover
Does anyone else want to comment on issue of testing rational expectations against alternatives and if it matters whether rational expectations stands up to empirical tests or whether it is not the sort of thing for which testing would be relevant?

Shiller
What comes to my mind is that rational expectations models have to assume away the problem of regime change, and that makes them hard to apply. It’s the same criticism they make of Kahnemann and Tversky, that the model isn’t clear and crisp about exactly how you should apply it. Well, the same is true for rational expectations models. And there’s a new strand of thought that’s getting impetus lately, that the failure to predict this crisis was a failure to understand regime changes. The title of a recent book by Carmen Reinhart and Ken Rogoff—the title of the book is This Time Is Different—to me invokes this problem of regime change, that people don’t know when there’s a regime change, and they may assume regime changes too often—that’s a behavioral bias [Carmen Reinhart and Kenneth Rogoff (2009)]. I don’t know how we’re going to model that. Reinhart and Rogoff haven’t come forth with any new answers, but that’s what comes to my mind now, at this point in history. And I don’t know whether you can comment on it: how do we handle the regime change problem? If you don’t have data on subprime mortgages then you build a model that doesn’t have subprime mortgages in it. Also, it doesn’t have the shadow banking sector in it either. Omitting key variables because we don’t have the data history on them creates a fundamental problem That’s why many nice concepts don’t find their way into empirical models and are not used more. They remain just a conceptual model.

Hoover
Bob, do you want to . . . or Dale. . . .

Mortensen
More as a theorist, I am sensitive to that problem. That is the issue. If the world were stable, then rational expectations means simply agents learning about their environment and applying what they learned to their decisions. If the environment’s simple, then how else would you structure the model? It’s precisely—if you like, call it “regime change”—what do you do with unanticipated events? More generally—regime changes is only one of them—you were talking about institutional change that was or wasn’t anticipated. As a theorist, I don’t know how to handle that.

Hoover
Bob, did you want to comment on that? You’re looking unhappy, I thought.

Lucas
No. I mean, you can’t read Muth’s paper as some recipe for cranking out true theories about everything under the sun—we don’t have a recipe like that. My paper on expectations and the neutrality of money was an attempt to get a positive theory about what observations we call a Phillips curve. Basically it didn’t work. After several years, trying to push that model in a direction of being more operational, it didn’t seem to explain it. So we had what we call price stickiness, which seems to be central to the way the system works. I thought my model was going to explain price stickiness, and it didn’t. So we’re still working on it; somebody’s working on it. I don’t think we have a satisfactory solution to that problem, but I don’t think that’s a cloud over Muth’s work. If Jack thinks it is, I don’t agree with him. Mike cites some data that Jack couldn’t make sense out of using rational expectations. . . . There’re a lot of bad models out there. I authored my share, and I don’t see how that affects a lot of things we’ve been talking about earlier on about the value of Muth’s contribution.

Young
Just to wrap up the issue of possible alternatives to rational expectations or complements to rational expectations. Does behavioral economics or psychology in general provide a useful and viable alternative to rational expectations, with the emphasis on “useful”?

Shiller
Well, that’s the criticism of behavioral economics, that it doesn’t provide elegant models. If you read Kahnemann and Tversky, they say that preferences have a kink in them, and that kink moves around depending on framing. But framing is hard to pin down. So we don’t have any elegant behavioral economics models. The job isn’t done, and economists have to read widely and think about these issues. I am sorry, I don’t have a good answer. My opinion is that behavioral economics has to be on the reading list. Ultimately, the whole rationality assumption is another thing; it’s interesting to look back on the history of it. Back at the turn of the century—around 1900—when utility-maximizing economic theory was being discovered, it was described as a psychological theory—did you know that, that utility maximization was a psychological theory? There was a philosopher in 1916—I remember reading, in the Quarterly Journal of Economics —who said that the economics profession is getting steadily more psychological. {laughter} And what did he mean? He said that economists are putting people at the center of the economy, and they’re realizing that people have purposes and they have objectives and they have trade-offs. It is not just that I want something, I’ll consider different combinations and I’ll tell you what I like about that. And he’s saying that before this happened, economists weren’t psychological; they believed in such things as gold or venerable institutions, and they didn’t talk about people. Now the whole economics profession is focused on people. And he said that this is a long-term trend in economics. And it is a long-term trend, so the expected utility theory is a psychological theory, and it reflects some important insights about people. In a sense, that’s all we have, behavioral economics; and it’s just that we are continuing to develop and to pursue it. The idea about rational expectations, again, reflects insights about people—that if you show people recurring patterns in the data, they can actually process it—a little bit like an ARIMA model—and they can start using some kind of brain faculties that we do not fully comprehend. They can forecast—it’s an intuitive thing that evolved and it’s in our psychology. So, I don’t think that there’s a conflict between behavioral economics and classical economics. It’s all something that will evolve responding to each other—psychology and economics.

Lucas
I totally disagree.

Mortensen
I think that we’ve come back around the circle—back to Carnegie again. I was a student of Simon and [Richard] March and [James] Cyert—in fact, I was even a research assistant on A Behavioral Theory of the Firm [Cyert and March (1963)]. So we talked about that in those days too. I am much less up on modern behavioral economics. However, I think what you are referring to are those aspects of psychology that illustrate the limits, if you like, of perception and, say, cognitive ability. Well, Simon did talk about that too—he didn’t use those precise words. What I do see on the question of expectations—right down the hall from me—is my colleague Chuck Manksi [Charles Manksi] and a group of people that he’s associated with. They’re trying to deal with expectations of ordinary people. For a lot of what we are talking about in macroeconomics, we’re thinking of decision-makers sure that they have all the appropriate data and have a sophisticated view about that data. You can’t carry that model of the decision-maker over to many household decisions. And what’s coming out of this new empirical research on expectations is precisely that: how do people think about the uncertainties that go into deciding about what their pension plan is going to look like. I think that those are real issues, where behavioral economics, in that sense, can make a very big contribution to what the rest of us do.

Lucas
One thing economics tries to do is to make predictions about the way large groups of people, say, 280 million people are going to respond if you change something in the tax structure, something in the inflation rate, or whatever. Now, human beings are hugely interesting creatures; so neurophysiology is exciting, cognitive psychology is interesting—I’m still into Freudian psychology—there are lots of different ways to look at individual people and lots of aspects of individual people that are going to be subject to scientific study. Kahnemann and Tversky haven’t even gotten to two people; they can’t even tell us anything interesting about how a couple that’s been married for ten years splits or makes decisions about what city to live in—let alone 250 million. This is like saying that we ought to build it up from knowledge of molecules or—no, that won’t do either, because there are a lot of subatomic particles—we’re not going to build up useful economics in the sense of things that help us think about the policy issues that we should be thinking about starting from individuals and, somehow, building it up from there. Behavioral economics should be on the reading list. I agree with Shiller about that. A well-trained economist or a well-educated person should know something about different ways of looking at human beings. If you are going to go back and look at Herb Simon today, go back and read Models of Man. But to think of it as an alternative to what macroeconomics or public finance people are doing or trying to do . . . there’s a lot of stuff that we’d like to improve—it’s not going to come from behavioral economics. . . at least in my lifetime. {laughter}

Hoover
We have a couple of questions to wrap up the session. Let me give you the next to last one: The Great Recession and the recent financial crisis have been widely viewed in both popular and professional commentary as a challenge to rational expectations and to efficient markets. I really just want to get your comments on that strain of the popular debate that’s been active over the last couple years.

Lucas
If you’re asking me did I predict the failure of Lehmann Brothers or any of the other stuff that happened in 2008, the answer is no.

Hoover
No, I’m not asking you that. I’m asking you whether you accept any of the blame. {laughter} The serious point here is that, if you read the newspapers and political commentary and even if you read commentary among economists, there’s been a lot of talk about whether rational expectations and the efficient-markets hypotheses is where we should locate the analytical problems that made us blind. All I’m asking is what do you think of that?

Lucas
Is that what you get out of Rogoff and Reinhart? You know, people had no trouble having financial meltdowns in their economies before all this stuff we’ve been talking about came on board. We didn’t help, though; there’s no question about that. We may have focused attention on the wrong things; I don’t know.

Shiller
Well, I’ve written several books on that. {laughter} My latest, with George Akerlof, is called Animal Spirits [2009]. And we presented an idea that Bob Lucas probably won’t like. It was something about the Keynesian concept. Another name that’s not been mentioned is John Maynard Keynes. I suspect that he’s not popular with everyone on this panel. Animal Spirits is based on Keynes. He said that animal spirits is a major driver of the economy. To understand Keynes, you have to go back to his 1921 book, Treatise on Probability [Keynes (1921)]. He said—he’s really into almost this regime-change thing that we brought up before—that people don’t have probabilities, except in very narrow, special circumstances. You can think of a coin-toss experiment, and then you know what the probabilities are. But in macroeconomics, it’s always fuzzy. What Keynes said in The General Theory [1936] is that, if people are really thoroughly rational, they would be paralyzed into inaction, because they just don’t know. They don’t know the kind of things that you would need to put into a decision-theory framework. But they do act, and so there is something that drives people—it’s animal spirits. You’re lying in bed in the morning and you could be thinking, “I don’t know what’s going to happen to me today; I could get hit by a truck; I just will stay in bed all day.” But you don’t. So animal spirits is the core of—maybe I’m telling this too bluntly—but it fluctuates. Sometimes it is represented as confidence, but it is not necessarily confidence. It is trust in each other, our sense of whether other people think that we’re moving ahead or . . . something like that. I believe that’s part of what drives the economy. It’s in our book, and it’s not very well modeled yet. But Keynes never wrote his theory down as a model either. He couldn’t do it; he wasn’t ready. These are ideas that, even to this day, are fuzzy. But they have a hold on people. I’m sure that Ben Bernanke and Austin Goolsbee are influenced by John Maynard Keynes, who was absolutely not a rational-expectations theorist. And that’s another strand of thought. In my mind, the strands are not resolved, and they are both important ways of looking at the world.

Beating the dead horse of rational expectations...

The above award should be given to University of Oxford economist Simon Wren-Lewis for concocting yet another defense of the indefensible idea of Rational Expectations (RE). Gotta admire his determination. I've written about this idea many times (here and here, for example), and I thought it had died a death, but that was obviously not true. I'm not going to say too much except to note that the strategy of the Wren-Lewis argument is essentially to ask "what are the alternatives to Rational Expectations?," then to mention just one possible alternative that he calls "naive adaptive expectations," and then to go on to criticize this silly alternative as being unrealistic, which it indeed is. But that's no defense of RE.

He doesn't ever address the question of why economists don't use more realistic ways to model how people form their expectations, for example by looking to psychology and experimental studies of how people learn (especially through social interactions and copying behavior). The only defense he offers on that score is to say they don't want too many details because they seek a "simple" way to model expectations so they can solve their favorite macroeconomic models. That fact that this renders such models possibly quite useless and misleading as guides to the real world doesn't seem to give him (or others) pause.

Lars Syll was a target in the Wren-Lewis post and has a nice rejoinder here. In comments, others raised concerns about why Lars didn't mentioned specific alternatives to RE. I added a comment there, which I'll reproduce here:

It seems to me that there are clear alternatives to rational expectations and I'm not sure why economists seem loath to use then. Simon Wren-Lewis gives one alternative as naive "adaptive expectations", but this seems like a straw man. Here people seem to believe more or less that trends will continue. That is truly naive. Expectations are important and the psychological literature on learning suggests that people form them in many ways, with heuristic theories and rules of thumb, and then adjust their use of these heuristics through experience. This is the kind of adaptive expectations that ought to be used in macro models.

From what I have read, however, the vast "learning literature" in macroeconomics that defenders of RE often refer to really doesn't go very far in exploring learning. A review I read as recently as 2009 used learning algorithms which ASSUMED that people already know the right model of the economy and only need to learn the values of some parameters. I suspect this is done on purpose so that the learning process converges to RE -- and an apparent defense of RE is therefore achieved. But this is only a trick. Use more realistic learning behavior to model expectations and you find little convergence at all -- just ongoing learning as the economy itself keeps doing new things in ways the participants never quite manage to predict.

As Simon Wren-Lewis himself notes, " it is worth noting that a key organising device for much of the learning literature is the extent to which learning converges towards rational expectations." So again, it seems as if the purpose of the model is to see how we can get the conclusion we want, not to explore the kinds of things we might actually expect to see in the world. This is what makes people angry and I think rightfully about the RE idea. I suspect that REAL reason for this is that, if one uses more plausible learning behavior (not the silly naive kind of adaptive expectations), you find that your economy isn't guaranteed to settle down to any kind of equilibrium, and you can't say anything honestly about the welfare of any outcomes, and so most of what has been developed in economics turns out to be pretty useless. Most economists find that too much to stomach.

One day soon I hope this subject really will be a dead horse.

Blind on purpose: equilibrium as a conceptual filter in economics

A couple of years ago, I came across this article written in The Huffington Post by economist and game theorist David Levine. It carried the provocative title "Why Economists Are Right," and argued back against all those who were then criticizing economics -- especially the rational expectations assumption -- in the aftermath of the financial crisis. Levine's article is delicately crafted and sounds superficially convincing. Indeed, it seems to make the rational expectations idea almost obvious. His argument is a masterpiece of showmanship in the manner of Milton Friedman -- its conclusion seems unavoidable, yet the logic seems somehow fishy, though in a way that is hard to pin down.

The most notable passage in this sense is the following:

In simple language what rational expectations means is "if people believe this forecast it will be true." By contrast if a theory is not one of rational expectations it means "if people believe this forecast it will not be true." Obviously such a theory has limited usefulness. Or put differently: if there is a correct theory, eventually most people will believe it, so it must necessarily be rational expectations. Any other theory has the property that people must forever disbelieve the theory regardless of overwhelming evidence -- for as soon as the theory is believed it is wrong.

Seems convincing, doesn't it? Or at least almost convincing. Is this the only claim made by the rational expectations assumption? If so, maybe it is reasonable. But there's a lot lurking in this paragraph.

When I first read this I thought -- well, he's just assuming that people will learn over time to hold rational beliefs. In other words, he simply asserts (maybe because he believes this) that the only possible outcome in our world has to be an equilibrium. If people have certain beliefs, and their actions based on these lead to a collective outcome that does not confirm those beliefs, then they'll have to adjust those beliefs. There's no equilibrium but ongoing change. From this, Levine assumes that if this goes on for a while that peoples' beliefs will adjust until they lead to actions and collective outcomes that confirm these beliefs and bring about an equilibrium. But this is simply his personal assumption, presumably because he likes game theory and has expertise in game theory and so likes to think about equilibria.

The world is much more flexible. The more general possibility is that people adjust their beliefs, act differently, and their collective behaviour leads to another outcome that against does not confirm their beliefs (at least not perfectly), so they adjust again. And there's an ongoing dance and co-evolution between beliefs and outcomes that never settles into any equilibrium.

But I've kept this essay in the back of my mind, never quite sure if my interpretation made sense, or if the hole in Levine's logic could really be this blazingly obvious. I'm now more strongly convinced that it is, in part because of a beautiful paper I came across yesterday by economist Brian Arthur. Arthur's paper is a wonderful review of the motivation behind complexity science and its application to economics. Two passages resonate in particular with Levine's argument about rational expectations:

One of the earliest insights of economics—it certainly goes back to Smith—is that aggregate patterns [in the economy] form from individual behavior, and individual behavior in turn responds to these aggregate patterns: there is a recursive loop. It is this recursive loop that connects with complexity. Complexity is not a theory but a movement in the sciences that studies how the interacting elements in a system create overall patterns, and how these overall patterns in turn cause the interacting elements to change or adapt. It might study how individual cars together act to form patterns in traffic, and how these patterns in turn cause the cars to alter their position. Complexity is about formation—the formation of structures—and how this formation affects the objects causing it.

To look at the economy, or areas within the economy, from a complexity viewpoint then would mean asking how it evolves, and this means examining in detail how individual agents’ behaviors together form some outcome and how this might in turn alter their behavior as a result. Complexity in other words asks how individual behaviors might react to the pattern they together create, and how that pattern would alter itself as a result. This is often a difficult question; we are asking how a process is created from the purposed actions of multiple agents. And so economics early in its history took a simpler approach, one more amenable to mathematical analysis. It asked not how agents’ behaviors would react to the aggregate patterns these created, but what behaviors (actions, strategies, expectations) would be upheld by—would be consistent with—the aggregate patterns these caused. It asked in other words what patterns would call for no changes in micro-behavior, and would therefore be in stasis, or equilibrium. (General equilibrium theory thus asked what prices and quantities of goods produced and consumed would be consistent with—would pose no incentives for change to—the overall pattern of prices and quantities in the economy’s markets. Classical game theory asked what strategies, moves, or allocations would be consistent with—would be the best course of action for an agent (under some criterion)—given the strategies, moves, allocations his rivals might choose. And rational expectations economics asked what expectations would be consistent with—would on average be validated by—the outcomes these expectations together created.)

This equilibrium shortcut was a natural way to examine patterns in the economy and render them open to mathematical analysis. It was an understandable—even proper—way to push economics forward. And it achieved a great deal. ...  But there has been a price for this equilibrium finesse. Economists have objected to it—to the neoclassical construction it has brought about—on the grounds that it posits an idealized, rationalized world that distorts reality, one whose underlying assumptions are often chosen for analytical convenience. I share these objections. Like many economists I admire the beauty of the neoclassical economy; but for me the construct is too pure, too brittle—too bled of reality. It lives in a Platonic world of order, stasis, knowableness, and perfection. Absent from it is the ambiguous, the messy, the real.

Here I think Arthur has perfectly described the limitation of Levine's position. Levine is happy with rational expectations because he is willing to restrict his field of interest only to those very few special cases in which peoples' expectations do correspond to collective outcomes. Anything else he thinks is uninteresting. I'm not even sure that Levine realizes he has so restricted his field of interest only to equilibrium, thereby neglecting the much larger and richer field of phenomena outside of it.

One other final comment from Arthur, with which I totally agree:

If we assume equilibrium we place a very strong filter on what we can see in the economy. Under equilibrium by definition there is no scope for improvement or further adjustment, no scope for exploration, no scope for creation, no scope for transitory phenomena, so anything in the economy that takes adjustment—adaptation, innovation, structural change, history itself—must be bypassed or dropped from theory. The result may be a beautiful structure, but it is one that lacks authenticity, aliveness, and creation.

How to misunderstand crises... with Rational Expectations

** UPDATE BELOW ** I've just about finished Gary Gorton's excellent book Misunderstanding Financial Crises. I think it's the most convincing book I've read so far that links the mechanisms of the recent crisis to crises in the past. In effect, he argues that the crisis was the direct result of the uncontrolled creation of money by the shadow banking sector, and ultimately took place as a classic bank run, no different from runs in the past, except that this run took place mostly out of public view because it didn't involve ordinary bank deposits. The new kind of money in this bank run was stuff such as repo agreements and commercial paper which played the role of money for financial institutions. In 2007-2008, when lenders lost confidence (for good reason) in the mortgage-backed collateral backing this money, they demanded that money back, and the financial system seized up.

The explanation is convincing and wholly natural. The argument is most convincing because Gorton does a masterful job of placing this bank run in the context of the long history of past runs. And also because Gorton, as an economist, places blame squarely on the economics profession (himself included) for being asleep at the wheel:

Think of economists and bank regulators looking out at the financial landscape prior to the financial crisis. What did they see? They did not see the possibility of a systemic crisis. Nor did they see how capital markets and the banking system had evolved in the last thirty years. They did not know of the existence of new financial instruments or the size of certain money markets. They did not know what "money" had become. They looked from a certain point of view, from a certain paradigm, and missed everything that was important... The blindness is astounding. That economists did not think such a crisis could happen in the United States was an intellectual failure.

It seems to me that there is a certain amount of denial among economists. I have noticed, in talking about the ideas in this book with my economist colleagues, that there is a fairly clear generational divide on this. To younger economists and graduate students, it is obvious that there was an intellectual failure. Some older economists are inclined to hem and haw, resorting to farfetched rebuttals. It is clear that this is a sensitive issue, as like banks no one wants to have to write down the value of their capital.

The book gets rather technical in places talking about the details of day to day financing on Wall St., but all in a way that adds credibility to the main argument.

One other thing of interest. Gorton in a late chapter, when discussing the spectacular failure of the rational expectations paradigm, quotes University of Chicago economist James Heckman, winner of the economics' Nobel Prize (yes, that's not its actual name) in 2000, from an interview he did with John Cassidy in 2010. I hadn't come across the interview before. It's a fascinating read and gives some interesting perspective on varied views held by economists within the Chicago department (Cassidy's words in italics):

What about the rational-expectations hypothesis, the other big theory associated with modern Chicago? How does that stack up now?

I could tell you a story about my friend and colleague Milton Friedman. In the nineteen-seventies, we were sitting in the Ph.D. oral examination of a Chicago economist who has gone on to make his mark in the world. His thesis was on rational expectations. After he’d left, Friedman turned to me and said, “Look, I think it is a good idea, but these guys have taken it way too far.”

It became a kind of tautology that had enormously powerful policy implications, in theory. But the fact is, it didn’t have any empirical content. When Tom Sargent, Lard Hansen, and others tried to test it using cross equation restrictions, and so on, the data rejected the theories. There were a certain section of people that really got carried away. It became quite stifling.

What about Robert Lucas? He came up with a lot of these theories. Does he bear responsibility?

Well, Lucas is a very subtle person, and he is mainly concerned with theory. He doesn’t make a lot of empirical statements. I don’t think Bob got carried away, but some of his disciples did. It often happens. The further down the food chain you go, the more the zealots take over.

What about you? When rational expectations was sweeping economics, what was your reaction to it? I know you are primarily a micro guy, but what did you think?

What struck me was that we knew Keynesian theory was still alive in the banks and on Wall Street. Economists in those areas relied on Keynesian models to make short-run forecasts. It seemed strange to me that they would continue to do this if it had been theoretically proven that these models didn’t work.

What about the efficient-markets hypothesis? Did Chicago economists go too far in promoting that theory, too?

Some did. But there is a lot of diversity here. You can go office to office and get a different view.

[Heckman brought up the memoir of the late Fischer Black, one of the founders of the Black-Scholes option-pricing model, in which he says that financial markets tend to wander around, and don’t stick closely to economics fundamentals.]

[Black] was very close to the markets, and he had a feel for them, and he was very skeptical. And he was a Chicago economist. But there was an element of dogma in support of the efficient-market hypothesis. People like Raghu [Rajan] and Ned Gramlich [a former governor of the Federal Reserve, who died in 2007] were warning something was wrong, and they were ignored. There was sort of a culture of efficient markets—on Wall Street, in Washington, and in parts of academia, including Chicago.

What was the reaction here when the crisis struck?

Everybody was blindsided by the magnitude of what happened. But it wasn’t just here. The whole profession was blindsided. I don’t think Joe Stiglitz was forecasting a collapse in the mortgage market and large-scale banking collapses.

So, today, what survives of the Chicago School? What is left?

I think the tradition of incorporating theory into your economic thinking and confronting it with data—that is still very much alive. It might be in the study of wage inequality, or labor supply responses to taxes, or whatever. And the idea that people respond rationally to incentives is also still central. Nothing has invalidated that—on the contrary.

So, I think the underlying ideas of the Chicago School are still very powerful. The basis of the rocket is still intact. It is what I see as the booster stage—the rational-expectation hypothesis and the vulgar versions of the efficient-markets hypothesis that have run into trouble. They have taken a beating—no doubt about that. I think that what happened is that people got too far away from the data, and confronting ideas with data. That part of the Chicago tradition was neglected, and it was a strong part of the tradition.

When Bob Lucas was writing that the Great Depression was people taking extended vacations—refusing to take available jobs at low wages—there was another Chicago economist, Albert Rees, who was writing in the Chicago Journal saying, No, wait a minute. There is a lot of evidence that this is not true.

Milton Friedman—he was a macro theorist, but he was less driven by theory and by the desire to construct a single overarching theory than by attempting to answer empirical questions. Again, if you read his empirical books they are full of empirical data. That side of his legacy was neglected, I think.

When Friedman died, a couple of years ago, we had a symposium for the alumni devoted to the Friedman legacy. I was talking about the permanent income hypothesis; Lucas was talking about rational expectations. We have some bright alums. One woman got up and said, “Look at the evidence on 401k plans and how people misuse them, or don’t use them. Are you really saying that people look ahead and plan ahead rationally?” And Lucas said, “Yes, that’s what the theory of rational expectations says, and that’s part of Friedman’s legacy.” I said, “No, it isn’t. He was much more empirically minded than that.” People took one part of his legacy and forgot the rest. They moved too far away from the data.

** UPDATE **

On a closely related note, check out between 18:00 and about 20:25 of this video documentary on debt and its primary role in the crisis, link courtesy of Lars Syll. Robert Lucas asserts (around 19:40) that debt just doesn't matter because the level of debt and credit always "cancels out." He seems to think it is strange that anyone could even think that debt should matter, as if he's completely blind to the massive agony and social upheaval ensuing from foreclosures and failed businesses around the US and the world. Lars suggests this is "unbelievable stupidity" and it is certainly unbelievable, but I think maybe it is less stupidity and reflects more a kind of borderline autistic inability to make a distinction between some extremely abstract mathematical model and actual economic reality. In Lucas's models, I suspect that debt and credit do always cancel out. Which is one aspect of what makes those models quite useless for many purposes, and dangerous in the hands of anyone who takes them too seriously.  

What you can learn from DSGE

                                       *** UPDATE BELOW ***

Anyone who has read much of this blog would expect my answer to the above question to be "NOTHING AT ALL!!!!!!!!!!!!!!!!!" Its true, I'm not a fan at all of Dynamic Stochastic General Equilibrium models, and think they offer poor tools for exploring the behaviour of any economy. That said, I also think economists should be ready and willing to use any model whatsoever if they honestly believe it might give some real practical insight into how things work. I (grudgingly) suppose that DSGE models might sometimes fall into this category.

So that's what I want to explore here, and I do briefly below. But first a few words on what I find objectionable about DSGE models.

The first thing is that the agents in such models are generally assumed to be optimisers. They have a utility function and are assumed to maximize this utility by solving some optimization problem over a path in time. [I'm using as my model the well known Smets-Wouters model as described in this European Central Bank document written, fittingly enough, by Smets and Wouters.] Personally, I find this to be a rather hugely implausible account of how any person or firm makes decisions when facing anything but the simplest problems. So it would seem like a miracle to me if the optimal behaviors predicted by the models would turn out to resemble even crudely the behavior of real individuals or firms.

Having said that, if I try to be generous, I can suppose that maybe, just maybe, the actual behaviour of people, while it isn't optimizing anything, might in the aggregate come out to something that isn't at least too far away from the optimal behavior, at least in some cases. I would guess there must be armies of economists out there collecting data on just this question, comparing the actions of real individuals and firms to the optimal predictions of the models. Maybe it isn't always bad. If I twist my arm, I can accept that this way of treating decision making as optimization sometimes lead to interesting insights (for people facing very smple decisions, this would of course be more likely).

The second thing I find bad about DSGE models is their use of the so-called representative agent. In the Smets-Wouters model, for example, there is essentially one representative consumer who makes decisions regarding labor and consumption, and then one representative firm which makes decisions on investment, etc. If you read the paper you will see it mention "a continuum of households" indexed by a continuous parameter, and this makes it seem at first like there is actually an infinite number of agents. Not really, as the index only refers to the kind of labor. Each agent makes decisions independently to optimize their utility; there are no interactions between the agents, no one can conduct a trade with another or influence their behavior, etc. So in essence there is really just one representative laborer and one representative firm, who interact with one another in the market. This I also find wholly unconvincing as the real economy emerges out of the complex interactions of millions of agents doing widely different things. Modelling an economy like this seems like modelling the flow of a river by thinking about the behaviour of a single representative water molecule, bouncing along the river bed, rather then thinking about the interactions of many which create pressure, eddies, turbulence, waves and so on. It seems highly unlikely to be very instructive.

But again, let me be generous. Perhaps, in some amazing way, this unbelievably crude approximation might sometimes give you some shred of insight. Maybe you can get lucky and find that a collective outcome can be understood by simply averaging over the behaviors of the many individuals. In situations where people do make up their own minds, independently and by seeking their own information, this might work. Perhaps this is how people behave in response to their perceptions of the macroeconomy, although it seems to me that what they hear from others, what they read and see in the media, probably has a huge effect and so they don't act independently at all.

But maybe you can still learn something from this approximation, sometimes. Does anyone out there know if there is research exploring this matter of when or under what conditions the representative agent approximation is OK because people DO act independently? I'm sure this must exist and it would be interesting to know more about it. I guess the RBC crowd must have an extensive program studying the empirical limits to the applicability of this approximation? 

So, those are my two biggest reasons for finding it hard to believe the DSGE framework. To these I might add a disbelief that the agents in economy do rapidly find their way to an equilibrium in which "production equals demand by households for consumption and investment and the government." We might stay well away from that point, and things might generally change so quickly that no equilibrium ever comes about. But let's ignore that. Maybe we're lucky and the equilibrium does come about.

So then, what can we learn from DSGE, and why this post? If I toss aside the worries I've voiced above, I'm willing to entertain the possibility that one might learn something from DSGE models. In particular, while browsing the web site of Nathan Palmer, a PhD student in the Department of Computational Social Science at George Mason University, I came across mention of two lines of work within the context of the DSGE formalism that I do think are interesting. I think more people should know about them.

First is work exploring the idea of "natural expectations." A nice example is this fairly recent paper by Andreas Fuster, David Laibson, and Brock Mendel. Most DSGE models, including the Smets-Wouters model, assume that the representative agents have rational expectations, i.e. they process information perfectly and have a wholly unbiased view of future possibilities. What this paper does is to relax that assumption in a DSGE model, assuming instead that people have more realistic "natural" or "intuitive expectations." Look at the empirical literature and you find that there's lots of evidence that investors and people of all kinds tend to overestimate recent trends in time series and expect them to continue. This paper explores some of this empirical literature, but then goes to its main purpose -- to include these trend following expectations into a DSGE model.

As they note, a seminal failure of rational expectations DSGE models is that they struggle "to explain some of the most prominent facts we observe in macroeconomics, such as large swings in asset prices, in other words “bubbles”, as well as credit cycles, investment cycles, and other mechanisms that contribute to the length and severity of economic contractions." These kinds of things, in contrast, do emerge quite readily from a DSGE model once the expectations of the agents is made a little more realistic. From the paper:

.....we embed natural expectations in a simple dynamic macroeconomic model and compare the simulated properties of the model to the available empirical evidence. The model’s predictions match many patterns observed in macroeconomic and financial time series, such as high volatility of asset prices, predictable up‐and‐down cycles in equity returns, and a negative relationship between current consumption growth and future equity returns.   

That is interesting, and all from a DSGE model. Whether you believe it or not depends on what you think about the objections I voiced above about the components of DSGE models, but it is at least nice that this single step towards realism pays some nice dividends in giving more plausible outcomes. This is a useful line of research.

Related work, equally interesting, is that of Paolo Gelain, Kevin J. Lansing and Caterina Mendicino, described in this working paper of the Federal Reserve Bank of San Francisco. This paper essentially does much the same thing as the one I just discussed, though in the context of the housing market. It uses a DSGE with trend following expectations for some of the agents to explore how a government might best try to keep housing bubbles in check through change in interest rates or restrictions on  leverage, i.e. how much a potential home buyer can borrow relative to the house value, or restrictions on how much they can borrow relative to income. The latter seems to work best. As they summarize:

Standard DSGE models with fully-rational expectations have difficulty producing large swings in house prices and household debt that resemble the patterns observed in many industrial countries over the past decade. We show that the introduction of simple moving-average forecast rules for a subset of agents can significantly magnify the volatility and persistence of house prices and household debt relative to otherwise similar model with fully-rational expectations. We evaluate various policy actions that might be used to dampen the resulting excess volatility, including a direct response to house price growth or credit growth in the central bank’s interest rate rule, the imposition of a more restrictive loan-to-value ratio, and the use of a modified collateral constraint that takes into account the borrower’s wage income. Of these, we find that a debt-to-income type constraint is the most effective tool for dampening overall excess volatility in the model economy. 

Again, this is really interesting stuff, worthwhile research, economics that is moving, to my mind, in the right direction, showing us what we should expect to be possible in an economy once we take the realistic and highly heterogenous behaviour of real people into account.

So there. I've said some not so nasty things about DSGE models! Now I think I need a stiff drink.

*** UPDATE ***

One other thing to mention. I'm happy to see this kind of work, and I applaud those doing it. But I do seriously doubt whether embedding the idea of trend following inside a DSGE model does anything to teach us about why markets often undergo bubble-like phenomena and have quite strong fluctuations in general. Does the theoretical framework add anything?

Imagine someone said the following to you:

 "Lots of people, especially in financial markets and the housing market, are prone to speculating and buying in the hope of making a profit when prices go up. This becomes more likely if people have recently seen prices rising, and their friends making profits. This situation  can lead to herding type behavior where many people act similarly and create positive feedbacks and asset bubbles, which eventually crash back to reality. The problem is generally made worse, for obvious reasons, if people can borrow very easily to leverage their investment..." 

I think most people would say "yes, of course." I suspect that many economists would also. This explanation, couched in words, is for me every bit as convincing as the similar dynamic wrapped up in the framework of DSGE. Indeed, it is even more convincing as it doesn't try to jump awkwardly through a series of bizarre methodological hoops along the way. In this sense, DSGE seems more like a straitjacket than anything else. I can't see how it adds anything to the plausibility of a story.

So, I guess, sorry for the title of this post. Should have been "What you can learn from DSGE: things you would be much better off learning elsewhere."

Edmund Phelps trashes rational expectations

I'm not generally one to enjoy reading interviews with macroeconomists, but this one is an exception. Published yesterday in Bloomberg, it features an interview by Caroline Baum of Edmund Phelps, Nobel Prize winner for his work on the relationship between inflation and unemployment. This focus of the interview is on Phelp's views of the rational expectations revolution. He is not a big fan:

Q (Baum): So how did adaptive expectations morph into rational expectations?

A (Phelps): The "scientists" from Chicago and MIT came along to say, we have a well-established theory of how prices and wages work. Before, we used a rule of thumb to explain or predict expectations: Such a rule is picked out of the air. They said, let's be scientific. In their mind, the scientific way is to suppose price and wage setters form their expectations with every bit as much understanding of markets as the expert economist seeking to model, or predict, their behavior. The rational expectations approach is to suppose that the people in the market form their expectations in the very same way that the economist studying their behavior forms her expectations: on the basis of her theoretical model.

Q: And what's the consequence of this putsch?

A: Craziness for one thing. You’re not supposed to ask what to do if one economist has one model of the market and another economist a different model. The people in the market cannot follow both economists at the same time. One, if not both, of the economists must be wrong. Another thing: It’s an important feature of capitalist economies that they permit speculation by people who have idiosyncratic views and an important feature of a modern capitalist economy that innovators conceive their new products and methods with little knowledge of whether the new things will be adopted -- thus innovations. Speculators and innovators have to roll their own expectations. They can’t ring up the local professor to learn how. The professors should be ringing up the speculators and aspiring innovators. In short, expectations are causal variables in the sense that they are the drivers. They are not effects to be explained in terms of some trumped-up causes.

Q: So rather than live with variability, write a formula in stone!

A: What led to rational expectations was a fear of the uncertainty and, worse, the lack of understanding of how modern economies work. The rational expectationists wanted to bottle all that up and replace it with deterministic models of prices, wages, even share prices, so that the math looked like the math in rocket science. The rocket’s course can be modeled while a living modern economy’s course cannot be modeled to such an extreme. It yields up a formula for expectations that looks scientific because it has all our incomplete and not altogether correct understanding of how economies work inside of it, but it cannot have the incorrect and incomplete understanding of economies that the speculators and would-be innovators have.

I think this is exactly the issue: "fear of uncertainty". No science can be effective if it aims to banish uncertainty by theoretical fiat. And this is what really makes rational expectations economics stand out as crazy when compared to other areas of science and engineering. It's a short interview, well worth a quick read.

Highly ironic also that, nearly half a century after Lucas and others began pushing this stuff, the trend is now back toward "adaptive expectations." Is rational expectations anything other than an expensive 50 year diversion into useless nonsense?

Microfoundations -- fact and fiction

UPDATE AT THE END

I generally try not to write about things I know almost nothing about, but here goes. Take everything that follows here as a kind of "thinking out loud" -- a struggle to put into words my thoughts about some apparently odd ideas in macroeconomics. I say "apparently" because I don't know enough to be sure. Maybe they are all very sensible. I would greatly appreciate any further insight from anyone out there who knows.

The idea puzzling me is "microfoundations." As I understand it, the rational expectations revolution in macroeconomics, linked to the names Robert Lucas, Edward Prescott, Thomas Sargent and others, demanded that macroeconomic theories shouldn't just be built as coarse-grained effective theories operating at the macroscale and written in terms of macroscopic variables such as inflation, unemployment, etc. Rather, a good theory henceforth was to link macroeconomic outcomes back to the behaviour of the individual agents in an economy, i.e. to their microeconomics behaviour. Such as theory would have "microfoundations."

To my physicist mind, this seems entirely sensible, so far. A difficult project, no doubt but sensible. By analogy, of course, this just seems like the effort to derive thermodynamics (a macroscopic theory) from the underlying behaviours of individual particles, which is the project of statistical mechanics. Deriving theories at higher levels from behaviours at lower levels is, when possible, a natural scientific project -- it offers unification or, if it can't be carried through, points to problem areas from which new ideas are likely to come.

Now, I have also read that much of the impetus for the rational expectations movement was the famous Lucas Critique which, if I understand it correctly, says that you can't reliably base policy interventions on simple regularities observed in macroeconomic data (a historically observed tradeoff between unemployment and inflation, for example). That regularity existed, after all, in the context of the policies prevailing in the past. Change the policies and those changes, by influencing the way people act and anticipate the future, may well strongly change or destroy the regularity on which you had based your plans. Again, plausible and sensible, it seems to me.

So, I can see the attraction of theories with microfoundations -- theories, that is, giving a plausible account of how macroeconomic reality emerges out of the micro reality and actual behaviour of millions of people and firms in interaction.

Now my puzzlement. As far as can tell, the idea of "microfoundations" as actually used in macroeconomics isn't quite how I described it above, i.e. seeking to base macro theory on a plausible account of the behaviour of individuals. Rather, in economics (through the work of Lucas) it has come to mean theories in which individuals and firms are hyperrational optimizers of their utility over a span of time (they solve a complicated optimization problem over their lifetime). This no longer seems so plausible, and on this point, a commenter from Mark Thoma's blog captures my feelings on this quite clearly:

hrsaccount said...

Microfoundations would be important if there were clear evidence that they represented the truth. For example, if there had been a series of experiments demonstrating that individuals are rational and make decisions so as to maximize some measurable quantity called utility, it would be important that macro models were consistent with this and the most direct way of ensuring that would be to incorporate rational utility-maximizing households into the model.

The fact is that there is no such evidence. Microeconomics is not based on empirical evidence, and the approach used in microeconomics has no special claim to the truth. So, leaving aside the fact that the way macroeconomics uses micro (i.e., in a way that many microeconomists don't approve, ignoring aggregation issues) there's no logical reason why macro needs to even be consistent with micro.

His point seems to me very well put -- if "microfoundations" as currently interpreted don't give foundations to anything, then a theory having them has no advantage. Theories with microfoundations (as interpreted in this odd sense) have no more claim to relevance than anything else. Indeed, we might say they are even worse as they are almost certainly demonstrably inconsistent with real behaviour at the micro level.

Again, I'm not an expert on this. But I see this kind of argument breaking out over and over among economists. I often think I must have it wrong, so please if I do, someone let me know.

UPDATE

While writing the above, I happened to find and read a couple of things that clarified matters quite a bit for me. My take seems to be shared by economists as well, although I'm not sure the few things I read are representative. First, Maarten Janssen of the Tinbergen Institute published an excellent short review of the idea of microfoundations in 2008. He describes the history, but notes that key criticisms of the idea do center in the "plausibility" of the rational expectations approach. That is, including expectations in macromodels is sensible, but everything depends on how you include them:

The approaches discussed so far... all postulate rational behavior on the part of economic agents and some notion of equilibrium. If expectations are important, it is postulated that agents’ expectations concerning important variables coincide with the model’s predicted values concerning these same variables.

And he mentions several branches of research criticizing this view and testing it, in particular, testing whether in a decentralized economy economic agents may learn over time to have expectations that are consistent with those that are assumed by the rational expectations hypothesis:

The general conclusion of this literature is that due to the feedback from expectations to economic behavior, the outcomes of an economic model with learning agents do not converge to the rational expectations solution. It then follows that the microfoundations literature mentioned so far has not really succeeded in deriving all macroeconomic propositions from fundamental hypotheses on the behavior of individual agents. The requirements of methodological individualism have thus not been satisfied by the microfoundations literature that has pre-dominantly presumed that individuals behave rationally...

I cannot say I'm surprised. So we're left with theories that only go one short step toward the idea of microfoundations, and, in my view, can't claim they have given microfoundations to anything -- the use of the word in these models is totally unwarranted, and I think way overstates what they achieve.

I think much the same point of view is expressed by Michael Woodford, himself a big name in macro modelling. In a response to an essay by John Kay critical of modern macroeconomics and its unrealistic assumptions, Woodford in a roundabout way eventually says, well, yes, I agree:

 

It has been standard for at least the past three decades to use models in which not only does the model give a complete description of a hypothetical world, and not only is this description one in which outcomes follow from rational behavior on the part of the decision makers in the model, but the decision makers in the model are assumed to understand the world in exactly the way it is represented in the model. More precisely, in making predictions about the consequences of their actions (a necessary component of an accounting for their behavior in terms of rational choice), they are assumed to make exactly the predictions that the model implies are correct (conditional on the information available to them in their personal situation).

This postulate of “rational expectations,” as it is commonly though rather misleadingly known, is the crucial theoretical assumption behind such doctrines as “efficient markets” in asset pricing theory and “Ricardian equivalence” in macroeconomics. It is often presented as if it were a simple consequence of an aspiration to internal consistency in one’s model and/or explanation of people’s choices in terms of individual rationality, but in fact it is not a necessary implication of these methodological commitments. It does not follow from the fact that one believes in the validity of one’s own model and that one believes that people can be assumed to make rational choices that they must be assumed to make the choices that would be seen to be correct by someone who (like the economist) believes in the validity of the predictions of that model. Still less would it follow, if the economist herself accepts the necessity of entertaining the possibility of a variety of possible models, that the only models that she should consider are ones in each of which everyone in the economy is assumed to understand the correctness of that particular model, rather than entertaining beliefs that might (for example) be consistent with one of the other models in the set that she herself regards as possibly correct.

So I feel that my suspicions and objections aren't misplaced, despite my vast ignorance. One other excellent article I recommend is this one from 2011 in which Woodford details the history of modern macroeconomics over the past century. Nothing I've read has given such a complete and clearly explained exposition, while it seems being balanced along the way (or so it seems, to my physicist's eyes).

UPDATE

Ole Rogeberg kindly let pointed me to this post by economist Noah Smith who makes some of the same points -- but from the position of someone with far economics domain knowledge than myself.

Learning in macroeconomics...

I've posted before on macroeconomic models that try to go beyond the "rational expectations" framework by assuming that the agents in an economy are different (they have heterogeneous expectations) and are also not necessarily rational. This approach seems wholly more realistic and believable to me.

In a recent comment, however, ivansml pointed me to this very interesting paper from 2009, which I've enjoyed reading. What the paper does is explore what happens in some of the common rational expectations models if you suppose that agents' expectations aren't formed rationally but rather on the basis of some learning algorithm. The paper shows that learning algorithms of a certain kind lead to the same equilibrium outcome as the rational expectations viewpoint. This IS interesting and seems very impressive. However, I'm not sure it's as interesting as it seems at first.

The reason is that the learning algorithm is indeed of a rather special kind. Most of the models studied in the paper, if I understand correctly, suppose that agents in the market already know the right mathematical form they should use to form expectations about prices in the future. All they lack is knowledge of the values of some parameters in the equation. This is a little like assuming that people who start out trying to learn the equations for, say, electricity and magnetism, already know the right form of Maxwell's equations, with all the right space and time derivatives, though they are ignorant of the correct coefficients. The paper shows that, given this assumption in which the form of the expectations equation is already known, agents soon evolve to the correct rational expectations solution. In this sense, rational expectations emerges from adaptive behaviour.

I don't find this very convincing as it makes the problem far too easy. More plausible, it seems to me, would be to assume that people start out with not much knowledge at all of how future prices will most likely be linked by inflation to current prices, make guesses with all kinds of crazy ideas, and learn by trial and error. Given the difficulty of this problem, and the lack even among economists themselves of great predictive success, this would seem more reasonable. However, it is also likely to lead to far more complexity in the economy itself, because a broader class of expectations will lead to a broader class of dynamics for future prices. In this sense, the models in this paper assume away any kind of complexity from a diversity of views.

To be fair to the authors of the paper, they do spell out their assumptions clearly. They state in fact that they assume that people in their economy form views on likely future prices in the same way modern econometricians do (i.e. using the very same mathematical models). So the gist seems to be that in a world in which all people think like economists and use the equations of modern econometrics to form their expectations, then, even if they start out with some of the coefficients "mis-specified," their ability to learn to use the right coefficients can drive the economy to a rational expectations equilibrium. Does this tell us much?

I'd be very interested in others' reactions to this. I do not claim to know much of anything about macroeconomics. Indeed, one of the nice things about this paper is its clear introduction to some of the standard models. This in itself is quite illuminating. I hadn't realized that the standard models are not any more complex than linear first-order time difference equations (if I have this right) with some terms including expectations. I had seen these equations before and always thought they must be toy models just meant to illustrate the far more complex and detailed models used in real calculations and located in some deep economic book I haven't yet seen, but now I'm not so sure.

Crazy economic models

**UPDATED AT END OF POST**

In a recent post I commented on the "fetish of rationality" present in a great deal of mathematical economic theory. Agents in the theories are often assumed to have super-human reasoning abilities and to determine their behaviour and expectations solely through completely rational calculation. In comments, Relja suggested that maybe I'd gone too far and that economists version of rationality isn't all that extreme:

I think critiques like this about rationality in economics miss the point. The rationality assumed in economics is concerned with general trends; generally people pursue pleasure, not pain (according to their own utility functions), they prefer more money to less (an expanded budget constraint leaves them on a higher indifference curve, thus better off), they have consistent preferences (when they're in the mood for chocolate, they're not going to choose vanilla). Correspondingly, firms have the goal of profit maximization - they produce products that somebody will want to buy or they go out of business. Taking the rationality assumption to its "umpteenth" iteration is really quite irrational in itself. A consumer knows that spending 6 years to calculate the mathematically optimal choice of ice-cream is irrational. An economist accordingly knows the same thing. And although assumptions are required for modelling economic scenarios (micro or macro), I seriously doubt that any serious economist would make assumptions that infer such irrationality. :).

I think Relja expressed a well-balanced perspective, has learned some economics in detail, and has taken away from it some conclusions that are, all in all, pretty sound. Indeed, people are goal oriented, don't (usually) prefer pain, and businesses do try to make profits (although whether they try to 'maximize' is an open question). If economists were really just following these reasonable ideas, I would have no problem.

But I also think the problem is worse than Relja may realize. The use of rationality assumptions is more extreme than this, and also decisive in some of the most important areas of economic theory, especially in macroeconomics. A few days ago, John Kay offered this very long and critical essay on the form of modern economic theory. It's worth a read all the way through, but in essence, Kay argues that economics is excessively based on logical deduction of theories from a set of axioms, one of which (usually) is the complete rationality of economic agents:

Rigour and consistency are the two most powerful words in economics today.... They have undeniable virtues, but for economists they have particular interpretations.  Consistency means that any statement about the world must be made in the light of a comprehensive descriptive theory of the world.  Rigour means that the only valid claims are logical deductions from specified assumptions.  Consistency is therefore an invitation to ideology, rigour an invitation to mathematics.  This curious combination of ideology and mathematics is the hallmark of what is often called ‘freshwater economics’ – the name reflecting the proximity of Chicago, and other centres such as Minneapolis and Rochester, to the Great Lakes.

Consistency and rigour are features of a deductive approach, which draws conclusions from a group of axioms – and whose empirical relevance depends entirely on the universal validity of the axioms.

Kay isn't quite as explicit as he might have been, but economist Michael Woodford, in a comment on Kay's argument, goes further in spelling out what Key finds most objectionable -- the so-called rational expectations framework, originally proposed by Robert Lucas, which forms the foundations of today's DGSE (dynamic stochastic equilibrium models). A core assumption of such models is that all individuals in the economy have rational expectations about the future, and that such expectations affect their current behaviour.

Now, if this meant something like Relja's comment suggests it might -- that people are simply forward looking, as we know they are -- this would be fine. But it's not. The form this assumption ultimately takes in these models is to assume that everyone in the economy has fully rational expectations, in that they form their expectations in accordance with the conceivably best and most accurate economic models, even if solving those models might require considerable mathematics and computation (and knowledge of everyones' expectations). As Woodford puts it in his comment,

It has been standard for at least the past three decades to use models in which not only does the model give a complete description of a hypothetical world, and not only is this description one in which outcomes follow from rational behavior on the part of the decision makers in the model, but the decision makers in the model are assumed to understand the world in exactly the way it is represented in the model. More precisely, in making predictions about the consequences of their actions (a necessary component of an accounting for their behavior in terms of rational choice), they are assumed to make exactly the predictions that the model implies are correct (conditional on the information available to them in their personal situation).
                 
This postulate of “rational expectations,” as it is commonly though rather misleadingly known, is the crucial theoretical assumption behind such doctrines as “efficient markets” in asset pricing theory and “Ricardian equivalence” in macroeconomics.  

It is precisely here that modern economics takes the assumption of rationality much too far merely for the sake of mathematical and theoretical rigour. Do economists really believe people form their expectations in this way? It's hard to imagine they could as the live the rest of their lives with people who do not do this. But the important question isn't what they really believe but on what do they base their theories which then get used by governments in policy making? Sadly, these unrealistic assumptions remain in the key models. But these assumptions really have zero plausibility. Woodford again,

[The rational expectations assumption] is often  presented as if it were a simple consequence of an aspiration to internal consistency in one’s model and/or explanation of people’s choices in terms of individual rationality, but in fact it is not a  necessary implication of these methodological commitments. It does not follow from the fact that one believes in the validity of one’s own  model and that one believes that people can be assumed to make rational  choices that they must be assumed to make the choices that would be seen  to be correct by someone who (like the economist) believes in the validity of the predictions of that model. Still less would it follow, if the economist herself accepts the necessity of entertaining the  possibility of a variety of possible models, that the only models that  she should consider are ones -- in each of which everyone in the economy is assumed to understand the correctness of that particular model, -- rather than entertaining beliefs that might (for example) be consistent with  one of the other models in the set that she herself regards as possibly  correct.

This is the sense in which hyper-rationality really does enter into economic theories. It's still pervasive, and still indefensible. It would be infinitely preferable if macro-economists such as Lucas and his followers (one of whom, Thomas Sargent, was perversely and outrageously just awarded the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel).

**UPDATE**

Blogger sometimes doesn't seem to register comments. Email alerted me to a sharp criticism by ivansml of some of the points I made, but the comment isn't, at least for my browser, yet showing up. Just so it doesn't get lost, ivansml said:

Every assumption is false when understood literally, including rational expectations. The important thing is whether people behave as if they had rational expectations - and answer to that will fortunately depend on particular model and data, not on emotional arguments and expressive vocabulary.

By the way, if you reject RE but accept that expectations matter and should be forward-looking, how do you actually propose to model them? One possible alternative is to have agents who estimate laws of motion from past data and continously update their estimates, which is something that macroeconomists have actually investigated before. And guess what - this process will often converge to rational expectations equilibrium.

Finally, the comment about Nobel Prize (yeah, it's not real Nobel, whatever) for Sargent is a sign of ignorance. Sargent has published a lot on generalizations or relaxations of RE, including the learning literature mentioned above, literature on robustness (where agents distrust their model and choose actions which are robust to model misspecifications) and even agent-based models. In addition to that, the prize citation focuses on his empirical contributions (i.e. testing theories against data). This does not seem like someone who is religiously devoted to "hyper-rationality" and ideology.

To points in response:

1. Yes, the point is precisely to include expectations but to model their formation in some more behaviourally realistic way, through learning algorithms as suggested. I am aware of such work and think it is very important. Indeed, the latter portion of this post from earlier this year looked precisely at this and considered a recent review of work in this area by Cars Hommes and others. The idea is not to assume that everyone forms their expectations identically, that learning is important, that their may be systematic biases and so on. As ivansml notes, there are circumstances in which the model may settle into a rational expectations equilibrium. But there are also many in which it does not. My hunch -- not backed by any evidence that I can point to readily -- is that the rational expectations equilibrium will be increasingly unlikely as the decisions faced by agents in the model become increasingly complex. Very possibly the system won't settle into any equilibrium at all.

But I think ivansml for pointing this out. It is certainly the case that expectations matter, and these should be brought into theory in some plausible and convincing way. Just to finish on this point, this is a quote from the Hommes review article, suggesting that the RE equilibrium doesn't come up very often:

Learning to forecast experiments are tailor-made to test the expectations hypothesis, with all other model assumptions computerized and under control of the experimenter. Different types of aggregate behavior have been observed in different market settings. To our best knowledge, no homogeneous expectations model [rational or irrational] fits the experimental data across different market settings. Quick convergence to the RE-benchmark only occurs in stable (i.e. stable under naive expectations) cobweb markets with negative expectations feedback, as in Muth's (1961) seminal rational expectations paper. In all other market settings persistent deviations from the RE fundamental benchmark seem to be the rule rather than the exception.

2. On his second point about Thomas Sargent, I plead guilty. ivansml is right -- his work is not as one dimensional as my comments made it seem. Indeed, I had been looking into his work over the past weekend for different reasons and had noticed that his work has been fairly wide ranging, and he does deserve credit for trying to relax RE assumptions. (Although he did seem a little snide in one interview I read, suggesting that mainstream macro-economists were not at all surprised by the recent financial crisis.)

So thanks also ivansml for setting me straight. I've changed the offending text above.