| Literature DB >> 34294944 |
Nikhil Agarwal1, Itai Ashlagi1, Michael Rees1, Paulo Somaini1, Daniel Waldinger1.
Abstract
Waitlists are often used to ration scarce resources, but the trade-offs in designing these mechanisms depend on agents' preferences. We study equilibrium allocations under alternative designs for the deceased donor kidney waitlist. We model the decision to accept an organ or wait for a preferable one as an optimal stopping problem and estimate preferences using administrative data from the New York City area. Our estimates show that while some kidney types are desirable for all patients, there is substantial match-specific heterogeneity in values. We then develop methods to evaluate alternative mechanisms, comparing their effects on patient welfare to an equivalent change in donor supply. Past reforms to the kidney waitlist primarily resulted in redistribution, with similar welfare and organ discard rates to the benchmark first come first served mechanism. These mechanisms and other commonly studied theoretical benchmarks remain far from optimal. We design a mechanism that increases patient welfare by the equivalent of an 18.2 percent increase in donor supply.Entities:
Year: 2021 PMID: 34294944 PMCID: PMC8294653 DOI: 10.3982/ECTA17017
Source DB: PubMed Journal: Econometrica ISSN: 0012-9682 Impact factor: 6.383