Implementing blopmatching in Stata

Juan D. Díaz (), Iván Gutiérrez () and Jorge Rivera
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Juan D. Díaz: University of Chile
Iván Gutiérrez: Pontifical Catholic University of Chile

Stata Journal, 2021, vol. 21, issue 1, 180-194

Abstract: The blopmatching estimator for average treatment effects in observational studies is a nonparametric matching estimator proposed by Díaz, 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.

Keywords: blopmatch; average treatment effects; matching; linear pro- gramming; synthetic covariate (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1177/1536867X211000021

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