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The Stata Journal
Volume 4 Number 3: pp. 290-311

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Implementing matching estimators for average treatment effects in Stata

Alberto Abadie
Harvard University
David Drukker
Jane Leber Herr
UC Berkeley
Guido W. Imbens
UC Berkeley
Abstract.   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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View all articles with these keywords: nnmatch, average treatment effects, matching, exogeneity, unconfoundedness, ignorability

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