论文标题
持续时间模型中的政权和治疗效果：分解对肾脏候补名单的期望和移植效应
Regime and Treatment Effects in Duration Models: Decomposing Expectation and Transplant Effects on the Kidney Waitlist
论文作者
论文摘要
本文提出了针对设置的因果分解框架，在该框架中，初始制度随机化影响治疗持续时间的时间。最初的随机分组和治疗反过来影响感兴趣的持续时间。我们的经验应用考虑了个体在肾脏移植候补名单上的生存。进入候补名单后，具有AB血型的个体是普遍的接受者，实际上是随机地将迅速接受肾脏移植的倾向较高的政权随机分配。我们的动态潜在结果框架使我们能够鉴定血型的移植前效应，并根据血型识别移植作用。我们进一步开发了基于晚期框架的动态假设，并允许研究人员分离不同人口基础的影响。我们的主要经验结果是AB血型候选者表现出更高的移植前死亡率。我们提供证据表明这种影响是由于行为变化而不是生物学差异所致。
This paper proposes a causal decomposition framework for settings in which an initial regime randomization influences the timing of a treatment duration. The initial randomization and treatment affect in turn a duration outcome of interest. Our empirical application considers the survival of individuals on the kidney transplant waitlist. Upon entering the waitlist, individuals with an AB blood type, who are universal recipients, are effectively randomized to a regime with a higher propensity to rapidly receive a kidney transplant. Our dynamic potential outcomes framework allows us to identify the pre-transplant effect of the blood type, and the transplant effects depending on blood type. We further develop dynamic assumptions which build on the LATE framework and allow researchers to separate effects for different population substrata. Our main empirical result is that AB blood type candidates display a higher pre-transplant mortality. We provide evidence that this effect is due to behavioural changes rather than biological differences.
