Implementing blopmatching in Stata. (March 2021)

• Record Type: Journal Article
• Authors: Díaz, Juan D.; Gutiérrez, Iván; Rivera, Jorge
• Is Part Of: Stata journal. Volume 21:Number 1(2021)
• Page Start: 180
• Page End: 194
• Publication Date: 2021-03
• Subjects: st0632 -- blopmatch -- average treatment effects -- matching -- linear programming -- synthetic covariate; Statistics -- Periodicals; Statistics -- Computer programs -- Periodicals; 001.422
• DOI: 10.1177/1536867X211000021
• Languages: English
• ISSNs: 1536-867X

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 describeblopmatch, a new command that implements these estimators.