Structural equations, treatment effects, and econometric policy evaluation

被引:582
作者
Heckman, JJ
Vytlacil, E
机构
[1] Univ Chicago, Dept Econ, Chicago, IL 60637 USA
[2] Stanford Univ, Dept Econ, Palo Alto, CA 94305 USA
关键词
instrumental variables; selection models; program evaluation;
D O I
10.1111/j.1468-0262.2005.00594.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper uses the marginal treatment effect (MTE) to unify the nonparametric literature on treatment effects with the econometric literature on structural estimation using a nonparametric analog of a policy invariant parameter; to generate a variety of treatment effects from a common serniparametric functional form; to organize the literature on alternative estimators; and to explore what policy questions commonly used estimators in the treatment effect literature answer. A fundamental asymmetry intrinsic to the method of instrumental variables (IV) is noted. Recent advances in IV estimation allow for heterogeneity in responses but not in choices, and the method breaks down when both choice and response equations are heterogeneous in a general way.
引用
收藏
页码:669 / 738
页数:70
相关论文
共 51 条