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A U-statistic-based test of treatment effect heterogeneity

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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 nonparametric test of the null hypothesis that… Click to show full abstract

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 nonparametric 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 programme effectiveness and find that there is treatment effect heterogeneity in different subpopulations.

Keywords: treatment effect; treatment; effect heterogeneity; test

Journal Title: Journal of Nonparametric Statistics
Year Published: 2022

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