Identification of treatment effects using control functions in models with continuous, endogenous treatment and heterogeneous effects
Identification of treatment effects using control functions in models with continuous, endogenous treatment and heterogeneous effects
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DOI：
10.3982/ecta5317
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发表时间：
2008-09-01
期刊：
影响因子：
6.1
通讯作者：
Vytlacil, E.
中科院分区：
文献类型：
--
作者：
Florens, J. P.;Heckman, J. J.;Vytlacil, E.
我们使用控制函数方法来确定模型中的平均治疗效果以及治疗对治疗对象的影响，该模型具有影响异质的连续内源回归量。我们假设异质性形式存在随机多项式限制，但与其他非参数控制函数方法不同，我们的方法不需要大量的支持假设。
We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity, but unlike alternative nonparametric control function approaches, our approach does not require large support assumptions.