More Responses to Scheiber’s Freakonomics Article

Steve Levitt writes a reply to Noam Scheiber’s hit piece on Levitt and other eminent Economists. It is a great read, here is an excerpt:

It seems to me that Scheiber is tied up in knots to the point that he no longer knows what he believes. He seems to instinctively like clever research, but feels such guilt about it that he is compelled to denounce it. The incredibly important point that he misses is that often being clever is the way one cracks an important problem. He can denigrate the questions I have made progress on tackling, but it seems to me that understanding how crime responds to punishment, why crime fell in the 1990s, why Blacks are lagging Whites so badly educationally and economically, whether firms profit maximize, whether campaign spending affects election outcomes, and whether elected officials follow the will of the electorate are pretty reasonable topics for an economist to study. Sure, my approach to each of these was different than what everyone else was doing, but the questions I have asked have (usually) had both serious policy questions and economic issues at their heart, and I delivered some answers when others were not.

Joshua Angrist also responds:

Second, in his rush to tar some up-and-comers with the “cute-o-nomics” brush, Scheiber misses a central feature of the clean-identification research agenda, best explained by example.  One of the enduring scientific and policy questions in Labor economics is the sensitivity of hours worked to changes in pay (this matters for tax policy, for example).  The best evidence labor economists have on the relation between wages and hours worked comes from a small experiment (by Ernst Fehr and Lorenz Goette) involving the wages of bicycle messengers in Switzerland.  The second best comes from a study of stadium vendors by Gerald Oettinger.  Who cares about the riders of Veloblitz or snack sellers at Camden Yards?  We care because economics is predicated on the notion that a few simple principles explain behavior in many settings.  These studies produce results that are convincing and may well be general, though, as always in science, it will take replication to know for sure.

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