Two-way Fixed Effects and Differences-in-Differences in Heterogeneous Adoption Designs without Stayers

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10 janvier 2025

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info:eu-repo/grantAgreement//101043899/EU/Completing the revolution : Enhancing the reality, the principles, and the impact of economics' credibility revolution/REALLYCREDIBLE

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http://creativecommons.org/licenses/by-nc/ , info:eu-repo/semantics/OpenAccess



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Clément de Chaisemartin et al., « Two-way Fixed Effects and Differences-in-Differences in Heterogeneous Adoption Designs without Stayers », HAL SHS (Sciences de l’Homme et de la Société), ID : 10670/1.a5a257...


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We consider treatment-effect estimation under a parallel trends assumption, in designs where no unit is treated at period one, all units receive a strictly positive dose at period two, and the dose varies across units. There are therefore no true control groups in such cases. First, we develop a test of the assumption that the treatment effect is mean independent of the treatment, under which the commonly used two-way fixed-effects estimator is consistent. When this test is rejected or lacks power, we propose alternative estimators, robust to heterogeneous effects. If there are units with a period-two treatment arbitrarily close to zero, the robust estimator is a difference-in-difference using units with a period-two treatment below a bandwidth as controls. Without such units, we propose non-parametric bounds, and an estimator relying on a parametric specification of treatment-effect heterogeneity. We use our results to revisit Pierce and Schott (2016) and Enikolopov et al. (2011).

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