Implementing matching estimators for average treatment effects in Stata

被引：810

作者：

Abadie, Alberto ^{[1
]}

Drukker, David ^{[2
]}

Herr, Jane Leber ^{[3
]}

Imbens, Guido W. ^{[3
]}

机构：

[1] Harvard Univ, Publ Policy, Cambridge, MA 02138 USA

[2] StataCorp, Econometr, College Stn, TX USA

[3] Univ Calif Berkeley, Berkeley, CA USA

来源：

STATA JOURNAL | 2004年 / 4卷 / 03期

关键词：

st0072; nnmatch; average treatment effects; matching; exogeneity; unconfoundedness; ignorability;

D O I：

10.1177/1536867X0400400307

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

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.

引用

页码：290 / 311

页数：22

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