Equilibrium Allocations Under Alternative Waitlist Designs: Evidence From Deceased Donor Kidneys

Nikhil Agarwal, Itai Ashlagi, Michael A. Rees, Paulo Somaini, Daniel Waldinger

    Research output: Contribution to journalArticlepeer-review


    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% increase in donor supply.

    Original languageEnglish (US)
    Pages (from-to)37-76
    Number of pages40
    Issue number1
    StatePublished - Jan 2021


    • Market design
    • dynamic discrete choice
    • dynamic mechanisms
    • organ allocation

    ASJC Scopus subject areas

    • Economics and Econometrics


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