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- Susan Athey
- Susan Athey is Economics of Technology Professor. Graduate School of Business, Stanford University, Stanford, California. Research Associates, National Bureau of Economic Research, Cambridge, Massachusetts.
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- Guido W. Imbens
- Guido W. Imbens is Applied Econometrics Professor and Professor of Economics, Graduate School of Business, Stanford University, Stanford, California. Research Associates, National Bureau of Economic Research, Cambridge, Massachusetts.
書誌事項
- 公開日
- 2017-05-01
- DOI
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- 10.1257/jep.31.2.3
- 公開者
- American Economic Association
この論文をさがす
説明
<jats:p> In this paper, we discuss recent developments in econometrics that we view as important for empirical researchers working on policy evaluation questions. We focus on three main areas, in each case, highlighting recommendations for applied work. First, we discuss new research on identification strategies in program evaluation, with particular focus on synthetic control methods, regression discontinuity, external validity, and the causal interpretation of regression methods. Second, we discuss various forms of supplementary analyses, including placebo analyses as well as sensitivity and robustness analyses, intended to make the identification strategies more credible. Third, we discuss some implications of recent advances in machine learning methods for causal effects, including methods to adjust for differences between treated and control units in high-dimensional settings, and methods for identifying and estimating heterogenous treatment effects. </jats:p>
収録刊行物
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- Journal of Economic Perspectives
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Journal of Economic Perspectives 31 (2), 3-32, 2017-05-01
American Economic Association
