A Reply To Jonathan Chait On Stimulus | The New Republic - 0 views
www.tnr.com/...reply-jon-chait-stimulus
stimulus economics social science knowledge experiment Keynes
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It is certainly true that a large majority of professional economists accept the view that “increasing spending or reducing taxes temporarily increases economic growth”—but that is very far from claiming that disputing it is largely a political campaign.
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in a genuinely scientific field which has accepted a predictive rule as valid to the point that there is a true consensus—such that the only reason for refusal to accept it is crankery or, in Chait’s terms, “politics”—you don’t usually see: several full professors at the top two departments in the subject, when speaking directly in their area of research expertise, challenge it; 10 percent of all practitioners in the field refuse to accept it; and the two leading global general circulation publications in field running op-eds questioning it.
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A great many leading economists may accept the proposition that enough stimulus spending will probably cause at least some increase in output for a short period of time in some circumstances, yet are still uncomfortable with the kind of stimulus spending strategy that is the actual subject of current political debate. In 2009, James Buchanan (1986 Nobel Laureate in Economics), Edward Prescott (2004 Nobel Laureate in Economics), and Vernon Smith (2002 Nobel Laureate in Economics) promulgated this statement: “Notwithstanding reports that all economists are now Keynesians and that we all support a big increase in the burden of government, we do not believe that more government spending is a way to improve economic performance.”
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It is nerdy-sounding, but I believe critical to this discussion, to distinguish between measurement and knowledge. I made a very strong claim about measurement, and a very specific claim about knowledge. I claim that we cannot usefully measure the effect of the stimulus program launched in 2009 at all.
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All potentially useful predictions made about the output impact of the stimulus program are non-falsifiable. Failure of predictions can be simply justified by this sort of ad hoc explanation after the fact.
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This argument will always degenerate back into endlessly dueling regressions, because there is no ability to adjudicate among them via experiment.
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It simply means that we have no scientific knowledge about this topic. Macroeconomic assertions about the effect of a proposed stimulus policy are not valueless, but despite their complex mathematical justifications, do not have standing as knowledge that can trump common sense, historical reasoning, and so on in the same way that a predictive rule that has been verified through experimental testing can.
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When using stimulus to ameliorate the economic crisis, we are like primitive tribesmen using herbs to treat an infection, and we should not allow ourselves to imagine that we are using antibiotics that have been proven through clinical trials. This should not imply merely a different feeling about the same actions, but should rationally lead us to greater circumspection.