some econ literatures are still crammed with mutually contradictory models for which the scope conditions are neither known nor specified. And the stock of existing theories is still enormous. In some areas, especially in macro, economists really do have theories that make almost any prediction, with no real way to choose between them except priors and politics. And many economists still have very little problem using modeling assumptions that have already been taken to the data with discouraging results.
Pointer from Mark Thoma. In his post, Smith tries to “score” various criticisms of economists. His post made me want to recycle a quote from Herbert Stein:
1. Economists do not know very much.
2. Other people, including politicians who make economic policy, know even less about economics than economists do.
[typo corrected]
Non-economists are responsible for many of the critiques of economists to which Smith gives a low score.
I have come to believe that economics is epistemologically difficult. That is, it is difficult to answer the question, “How do you know that?” Non-economists do not have much insight into this issue. Unfortunately, many economists lack insight as well.
The appeal of the mathematical approach is that it provides rigorous connections between assumptions and conclusions. The weakness of the mathematical approach is that it places tremendous pressure on one’s choice of assumptions. And, as Smith has pointed out, these choices are more arbitrary than they are in the hard sciences.
Economists can almost never directly test their assumptions. Milton Friedman famously suggested not worrying about direct testing. Instead, he proposed the indirect approach of testing predictions. In practice, however, this does not work, or at least it does not work cleanly.
One problem is that you can have two interpretive frameworks that both “predict” one observed phenomenon yet have different predictions about other phenomena about which we do not have precise observations. Consider the vast array of candidate explanations for the financial crisis, with widely varying implications about how one might try to prevent a recurrence.
Another problem is that when an anomalous observation appears to confound an interpretive framework, this fails to result in a decisive rejection of that framework. Instead, the framework is tweaked in order to accommodate the observation. So, when the huge fiscal contraction in the United States at the end of World War II did not lead to another Great Depression, the explanation might be “pent-up consumer demand.” When the inflation rate failed to obey the Phillips Curve in the 1970s, the explanation might be “supply shocks” and/or “higher expectations of inflation.”
If assumptions cannot be tested directly, and Friedman’s proposal to test predictions does not work, how will assumptions be chosen? The answer, all too often, is a combination of mathematical tractability and faddism. Economists will jump all over a model because it is fun to play with, regardless of how silly or irrelevant the set of assumptions may be. The overlapping-generations model of money would be a prime example.
My main concerns with mainstream economics include:
1. A bias toward “engineers” rather than “ecologists.” That distinction comes from Greg Ip’s new book, Foolproof. The engineer is like Adam Smith’s man of system, who ignores evolution, both as a factor that may permit markets to over come their own failures and as a factor that may cause government “solutions” to become obsolete.
2. A bias toward simplifying the phenomenon of specialization. Macroeconomists live in a world with one producer and one consumer (the “representative agent.”) Microeconomists live in a 2x2x2 world, with two factors of production, two goods, and two producers. They miss important differences between those worlds and the real world of millions of tasks being performed to lead to a final product.