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

Author

Listed:
  • Giovanni Cerulli

    (National Research Council of Italy)

  • Marco Ventura

    (Sapienza University of Rome)

Abstract

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 peri- ods. 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 dis- tinct 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 sim- plify applied works on program evaluation and causal inference when longitudinal data are available.

Suggested Citation

  • Giovanni Cerulli & Marco Ventura, 2019. "Estimation of pre- and posttreatment average treatment effects with binary time-varying treatment using Stata," Stata Journal, StataCorp LP, vol. 19(3), pages 551-565, September.
    • Handle: RePEc:tsj:stataj:v:19:y:2019:i:3:p:551-565
    DOI: 10.1177/1536867X19874224
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-3/st0566/
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