Fuzzy differences-in-differences with Stata
Clément de Chaisemartin,
Xavier D’haultfœuille and
Yannick Guyonvarch
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Xavier D’haultfœuille: CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique
Yannick Guyonvarch: CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique
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Abstract:
Differences-in-differences evaluates the effect of a treatment. In its basic version, a "control group" is untreated at two dates, whereas a "treatment group" becomes fully treated at the second date. However, in many applications of this method, the treatment rate increases more only in the treatment group. In such fuzzy designs, de Chaisemartin and D'Haultfœuille (2018b, Review of Economic Studies 85: 999–1028) propose various estimands that identify local average and quantile treatment effects under different assumptions. They also propose estimands that can be used in applications with a nonbinary treatment, multiple periods, and groups and covariates. In this article, we present the command fuzzydid, which computes the various corresponding estimators. We illustrate the use of the command by revisiting Gentzkow, Shapiro, and Sinkinson (2011, American Economic Review 101: 2980–3018).
Date: 2019-06-24
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Citations: View citations in EconPapers (6)
Published in The Stata Journal, 2019, 19 (2), pp.435-458. ⟨10.1177/1536867X19854019⟩
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Journal Article: Fuzzy differences-in-differences with Stata (2019) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04430884
DOI: 10.1177/1536867X19854019
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