Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/263530 
Year of Publication: 
2022
Series/Report no.: 
IZA Discussion Papers No. 15314
Publisher: 
Institute of Labor Economics (IZA), Bonn
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.
Subjects: 
dynamic treatment effects
survival models
expectation effects
kidney transplant
JEL: 
C22
C41
I12
Document Type: 
Working Paper

Files in This Item:
File
Size
785.71 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.