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The credibility revolution in empirical economics: how better research design is taking the con out of econometrics

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  • Joshua D. Angrist
  • Jörn-Steffen Pischke

Abstract

This essay reviews progress in empirical economics since Leamer’s (1983) critique. Leamer highlighted the benefits of sensitivity analysis, a procedure in which researchers show how their results change with changes in specification or functional form. Sensitivity analysis has had a salutary but not a revolutionary effect on econometric practice. As we see it, the credibility revolution in empirical work can be traced to the rise of a design-based approach that emphasizes the identification of causal effects. Design-based studies typically feature either real or natural experiments and are distinguished by their prima facie credibility and by the attention investigators devote to making the case for a causal interpretation of the findings their designs generate. Design-based studies are most often found in the microeconomic fields of Development, Education, Environment, Labor, Health, and Public Finance, but are still rare in Industrial Organization and Macroeconomics. We explain why IO and Macro would do well to embrace a design-based approach. Finally, we respond to the charge that the design-based revolution has overreached.

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Paper provided by London School of Economics and Political Science, LSE Library in its series LSE Research Online Documents on Economics with number 48898.

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Date of creation: May 2010
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Handle: RePEc:ehl:lserod:48898

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Keywords: research design; natural experiment; quasi-experiment; structural models;

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