Estimation of pre- and posttreatment average treatment effects with binary time-varying treatment using Stata

• Autores: Giovanni Cerulli, Marco Ventura
• Localización: The Stata journal, ISSN 1536-867X, Vol. 19, Nº. 3, 2019, págs. 551-565
• Idioma: inglés
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• Dialnet Métricas: 1 Cita
• Resumen

  • In this article, we describe tvdiff, a community-contributed command that implements a generalization of the difference-in-differences estimator to the case of binary time-varying treatment with pre- and postintervention periods. tvdiff is flexible and can accommodate many actual situations, enabling the user to specify the number of pre- and postintervention periods and a graphical representation of the estimated coefficients. In addition, tvdiff provides two distinct tests for the necessary condition of the identification of causal effects, namely, two tests for the so-called parallel-trend assumption. tvdiff is intended to simplify applied works on program evaluation and causal inference when longitudinal data are available.