Nonparametric tests for treatment effect heterogeneity
Nonparametric tests for treatment effect heterogeneity
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DOI：
10.1162/rest.90.3.389
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发表时间：
2008-08-01
影响因子：
8
通讯作者：
Mitnik, Oscar A.
中科院分区：
文献类型：
--
作者：
Crump, Richard K.;Hotz, V. Joseph;Mitnik, Oscar A.
在本文中，我们开发了两个治疗效果异质性的非参数检验。第一个检验用于零假设，即治疗对由协变量定义的所有亚群的平均效应为零。第二个检验用于零假设，即所有亚群的协变量条件平均效应相同，即协变量平均治疗效应无异质性。我们得到的测试是直接实施，并说明使用这些测试的数据从两组实验评估的福利工作计划的影响。
In this paper we develop two nonparametric tests of treatment effect heterogeneity. The first test is for the null hypothesis that the treatment has a zero average effect for all subpopulations defined by covariates. The second test is for the null hypothesis that the average effect conditional on the covariates is identical for all subpopulations, that is, that there is no heterogeneity in average treatment effects by covariates. We derive tests that are straightforward to implement and illustrate the use of these tests on data from two sets of experimental evaluations of the effects of welfare-to-work programs.