Characterizing selection bias using experimental data

被引:1090
|
作者
Heckman, J
Ichimura, H
Smith, J
Todd, P
机构
[1] Univ Chicago, Dept Econ, Chicago, IL 60637 USA
[2] Univ Pittsburgh, Dept Econ, Pittsburgh, PA 15260 USA
[3] Univ Western Ontario, Dept Econ, Social Sci Ctr, London, ON N6A 5C2, Canada
[4] Univ Penn, Dept Econ, Philadelphia, PA 19104 USA
关键词
selection bias; program evaluation; training programs; semiparametric estimation;
D O I
10.2307/2999630
中图分类号
F [经济];
学科分类号
02 ;
摘要
Semiparametric methods are developed to estimate the bias that arises from using nonexperimental comparison groups to evaluate social programs and to test the identifying assumptions that justify matching, selection models, and the method of difference-in-differences. Using data from an experiment on a prototypical social program and data from nonexperimental comparison groups, we reject the assumptions justifying matching and our extensions of it. The evidence supports the selection bias model and the assumptions that justify a semiparametric version of the method of difference-in-differences. We extend our analysis to consider applications of the methods to ordinary observational data.
引用
收藏
页码:1017 / 1098
页数:82
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