Nonparametric identification and estimation of dynamic treatment effects for survival data in a regression discontinuity design
发布时间:2024-11-12
浏览次数:7
作者:Xiaofeng Lv, XuRan Sun, Yue Lu, and Rui Li
Economics Letters(SSCI), 2019, Volume 184Authors: Xiaofeng Lv, XuRan Sun, Yue Lu, and Rui LiAbstract: Treatment assignment in the survival literature is often assumed to be allocated simultaneously an···
Economics Letters(SSCI), 2019, Volume 184
Authors: Xiaofeng Lv, XuRan Sun, Yue Lu, and Rui Li
Abstract: Treatment assignment in the survival literature is often assumed to be allocated simultaneously and independently of prospective treatment gains. This paper relaxes these restrictions by introducing dynamic treatment assignment for survival data in a regression discontinuity design. Conditional on a pretreatment duration, we identify two survival finctions ofthe remaining potential durations, under treatment and no treatment. Conditional treatment effectscan be identified by the difference between the integrals of the two functions, and we aggregate conditional treatment effects over pretreatment durations to identify unconditional ones. Accordingly, nonparametric estimates are proposed.
Key Words: Nonparametric identification; Treatment effects; Regression discontinuity, Survivalanalysis; Dynamic treatment assignment
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