Recent Developments in the Econometrics of Program Evaluation
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- 1 March 2009
- journal article
- Published by American Economic Association in Journal of Economic Literature
- Vol. 47 (1) , 5-86
- https://doi.org/10.1257/jel.47.1.5
Abstract
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 such causal effects. 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 microeconomics. 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.Keywords
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This publication has 194 references indexed in Scilit:
- A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003Statistics in Medicine, 2007
- Combining Propensity Score Matching with Additional Adjustments for Prognostic CovariatesJournal of the American Statistical Association, 2000
- Finite-Sample Variance of Local Polynomials: Analysis and SolutionsJournal of the American Statistical Association, 1996
- Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment IntensityJournal of the American Statistical Association, 1995
- Semiparametric Efficiency in Multivariate Regression Models with Missing DataJournal of the American Statistical Association, 1995
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing DataJournal of the American Statistical Association, 1995
- Optimal Matching for Observational StudiesJournal of the American Statistical Association, 1989
- Reducing Bias in Observational Studies Using Subclassification on the Propensity ScoreJournal of the American Statistical Association, 1984
- Conditional Permutation Tests and the Propensity Score in Observational StudiesJournal of the American Statistical Association, 1984
- The central role of the propensity score in observational studies for causal effectsBiometrika, 1983