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The Estimation of Causal Effects by Difference-in-Difference Methods

Michael Lechner

University of St. Gallen Department of Economics working paper series 2010 from Department of Economics, University of St. Gallen

Abstract: This survey gives a brief overview of the literature on the difference-in-difference (DiD) estimation strategy and discusses major issues using a treatment effect perspective. In this sense, this survey gives a somewhat different view on DiD than the standard textbook discussion of the difference-in-difference model, but it will also not be as complete as the latter. This survey contains also a couple of extensions to the literature, for example, a discussion of and suggestions for non-linear DiD as well as DiD based on propensity-score type matching methods.

Keywords: Causal inference; counterfactual analysis; before-after-treatment-control design; control group design with pretest and posttest (search for similar items in EconPapers)
JEL-codes: C21 C23 C31 C33 (search for similar items in EconPapers)
Pages: 57 pages
Date: 2010-09, Revised 2011-10
New Economics Papers: this item is included in nep-ecm
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http://ux-tauri.unisg.ch/RePEc/usg/dp2010/DP-1028-Le.pdf (application/pdf)

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Journal Article: The Estimation of Causal Effects by Difference-in-Difference Methods (2011) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:usg:dp2010:2010-28

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