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didq: A command for treatment-effect estimation under alternative assumptions

Author

Listed:
  • Ricardo Mora

    (Carlos III University of Madrid)

  • Iliana Reggio

    (Carlos III University of Madrid)

Abstract

When several pretreatment periods are available, identification of the treatment effect in a difference-in-differences framework requires an assumption relating dynamics for controls and treated in absence of treatment. Mora and Reggio (2012, Working Paper 12-33, Universidad Carlos III de Madrid) define a family of alternative identifying assumptions and propose a model that, contrary to the usual econometric specifications, allows one to identify the treatment effect for any given assumption in the family. In this article, we introduce a command, didq, that implements the model presented in Mora and Reggio, reports the estimated effect under alternative assumptions, and performs tests for the equivalence of the estimates. We also explain how to use the command to obtain the standard difference-in-differences estimator with or without polynomial trends. Copyright 2015 by StataCorp LP.

Suggested Citation

  • Ricardo Mora & Iliana Reggio, 2015. "didq: A command for treatment-effect estimation under alternative assumptions," Stata Journal, StataCorp LP, vol. 15(3), pages 796-808, September.
    • Handle: RePEc:tsj:stataj:v:15:y:2015:i:3:p:796-808
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    References listed on IDEAS

    as
    1. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    2. Mora, Ricardo & Reggio, Iliana, 2012. "Treatment effect identification using alternative parallel assumptions," UC3M Working papers. Economics we1233, Universidad Carlos III de Madrid. Departamento de Economía.
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