Regime and Treatment Effects in Duration Models: Decomposing Expectation and Transplant Effects on the Kidney Waitlist

Stephen Kastoryano

No 15314, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: 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.

Keywords: dynamic treatment effects; survival models; expectation effects; kidney transplant (search for similar items in EconPapers)
JEL-codes: C22 C41 I12 (search for similar items in EconPapers)
Pages: 48 pages
Date: 2022-05
New Economics Papers: this item is included in nep-ecm and nep-hea
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Working Paper: Regime and Treatment Effects in Duration Models: Decomposing Expectation and Transplant Effects on the Kidney Waitlist (2022)
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