Implementing blopmatching in Stata

• Autores: Juan D. Díaz
• Localización: The Stata journal, ISSN 1536-867X, Vol. 21, Nº. 1, 2021, págs. 180-194
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • The blopmatching estimator for average treatment effects in observational studies is a nonparametric matching estimator proposed by D´ıaz, Rau, and Rivera (2015, Review of Economics and Statistics 97: 803–812). This approach uses the solutions of linear programming problems to build the weighting schemes that are used to impute the missing potential outcomes. In this article, we describe blopmatch, a new command that implements these estimators.