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Estimating More Precise Treatment Effects in Natural and Actual Experiments

Harriet Duleep () and Xingfei Liu
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Harriet Duleep: College of William and Mary

No 10055, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: The importance of using natural experiments and experimental data in economic research has long been recognized. Yet, it is only in recent years that these approaches have become an integral part of the economist's analytical toolbox, thanks to the efforts of Meyer, Card, Peters, Krueger, Gruber, and others. This use has shed new light on a variety of public policy issues and has already caused a major challenge to some tightly held beliefs in economics, most vividly illustrated by the finding of a positive effect of a minimum wage increase on the employment of low-wage workers. Although currently in vogue in economic research, the analysis of experimental data and natural experiments could be substantially strengthened. This paper discusses how analysts could increase the precision with which they measure treatment effects. An underlying theme is how best to measure the effect of a treatment on a variable, as opposed to explaining a level or change in a variable.

Keywords: experimental approach; average of differences; differences in averages; precision of treatment effects; natural experiment; policy evaluation (search for similar items in EconPapers)
JEL-codes: C1 J1 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2016-07
New Economics Papers: this item is included in nep-ecm and nep-ger
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