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Implementing blopmatching in Stata

Author

Listed:
  • Juan D. Díaz

    (University of Chile)

  • Iván Gutiérrez

    (Pontifical Catholic University of Chile)

  • Jorge Rivera

    (University of Chile)

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.

Suggested Citation

  • Juan D. Díaz & Iván Gutiérrez & Jorge Rivera, 2021. "Implementing blopmatching in Stata," Stata Journal, StataCorp LP, vol. 21(1), pages 180-194, March.
    • Handle: RePEc:tsj:stataj:v:21:y:2021:i:1:p:180-194
    DOI: 10.1177/1536867X211000021
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj21-1/st0632/
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