A U-statistic-based test of treatment effect heterogeneity

Many studies include a goal of determining whether there is treatment effect heterogeneity across different subpopulations. In this paper, we propose a U-statistic-based non-parametric test of the null hypothesis that the treatment effects are identical in different subgroups. The proposed test prov...

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Bibliographic Details
Main Author: Dai, Maozhu (Author)
Contributors: Stern, Hal S.
Format: Electronic Book
Language:English
Published: 2020
In:Year: 2020
Online Access: Volltext (kostenfrei)
Check availability: HBZ Gateway
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Summary:Many studies include a goal of determining whether there is treatment effect heterogeneity across different subpopulations. In this paper, we propose a U-statistic-based non-parametric test of the null hypothesis that the treatment effects are identical in different subgroups. The proposed test provides more power than the standard parametric test when the underlying distribution assumptions of the latter are violated. We apply the method to data from an economic study of program effectiveness and find that there is treatment effect heterogeneity in different subpopulations