Implementing matching estimators for average treatment effects in Stata. This paper presents an implementation of matching estimators for average treatment effects in Stata. The nnmatch command allows you to estimate the average effect for all units or only for the treated or control units; to choose the number of matches; to specify the distance metric; to select a bias adjustment; and to use heteroskedastic-robust variance estimators.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Radice, Rosalba; Marra, Giampiero; Wojtyś, Małgorzata: Copula regression spline models for binary outcomes (2016)
- Wang, Qihua; Lai, Peng: Empirical likelihood calibration estimation for the median treatment difference in observational studies (2011)
- Szulc, Adam: A matching estimator of household equivalence scales (2009)