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Recent Developments in the Econometrics of Program Evaluation Author info | Abstract | Publisher info | Download info | Related research | Statistics Imbens, Guido W. () (Harvard University)
Wooldridge, Jeffrey M. () (Michigan State University)
Many empirical questions in economics and other social sciences depend on causal effects of programs or policies. In the last two decades much research has been done on the econometric and statistical analysis of the effects of such programs or treatments. This recent theoretical literature has built on, and combined features of, earlier work in both the statistics and econometrics literatures. It has by now reached a level of maturity that makes it an important tool in many areas of empirical research in economics, including labor economics, public finance, development economics, industrial organization and other areas of empirical micro-economics. In this review we discuss some of the recent developments. We focus primarily on practical issues for empirical researchers, as well as provide a historical overview of the area and give references to more technical research.
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
3640.
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Length: 94 pages
Date of creation: Aug 2008Date of revision:
Handle: RePEc:iza:izadps:dp3640Contact details of provider: Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany Phone: +49 228 3894 223 Fax: +49 228 3894 180 Web page: http://www.iza.org
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Keywords: program evaluation ; causality ; unconfoundedness ; Rubin Causal Model ; potential outcomes ; instrumental variables ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
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