Doing More When You&Apos;Re Running Late: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments
Doing More When You&Apos;Re Running Late: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments
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DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Amanda E. Kowalski
中科院分区：
文献类型：
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作者：
Amanda E. Kowalski
我在实验中检验治疗效果的异质性，以告知外部效度。局部平均处理效果（LATE）给出了编译器的平均处理效果。通过扩展边际治疗效果方法，对总是接受者和从不接受者的平均治疗效果进行了界定和估计。我使用这些方法将选择从治疗效果异质性中分离出来，将OLS与LATE的比较普遍化。将这些方法应用到俄勒冈州健康保险实验中，我发现保险对急诊室利用的治疗效果从总是接受者到接受者再到从不接受者递减。先前的利用解释了治疗效果异质性的很大一部分。外推表明，其他扩展可能会增加或降低利用率。
I examine treatment effect heterogeneity within an experiment to inform external validity. The local average treatment effect (LATE) gives an average treatment effect for compliers. I bound and estimate average treatment effects for always takers and never takers by extending marginal treatment effect methods. I use these methods to separate selection from treatment effect heterogeneity, generalizing the comparison of OLS to LATE. Applying these methods to the Oregon Health Insurance Experiment, I find that the treatment effect of insurance on emergency room utilization decreases from always takers to compliers to never takers. Previous utilization explains a large share of the treatment effect heterogeneity. Extrapolations show that other expansions could increase or decrease utilization.
DOI：
10.1073/pnas.96.8.4730
发表时间：
1999-04-13
影响因子：
11.1
作者：
Heckman, JJ;Vytlacil, EJ
通讯作者：
Vytlacil, EJ