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Individual rationality and participation in large scale, multi-hospital kidney exchange

Published: 05 June 2011 Publication History

Abstract

As multi-hospital kidney exchange clearinghouses have grown, the set of players has grown from patients and surgeons to include hospitals. Hospitals have the option of enrolling only their hard-to-match patient-donor pairs, while conducting easily arranged exchanges internally. This behavior has already started to be observed.
We show that the cost of making it individually rational for hospitals to participate fully is low in almost every large exchange pool (although the worst-case cost is very high), while the cost of failing to guarantee individually rational allocations could be large, in terms of lost transplants. We also identify an incentive compatible mechanism.

References

[1]
I. Ashlagi and A. E. Roth. Individual rationality and participation in large scale, multi-hospital kidney exchange. Working paper, 2011.
[2]
A. E. Roth, T. Sönmez, and M. U. Ünver. A kidney exchange clearinghouse in New England. phAmerican Economic Review Papers and Proceedings, 95(2): 376--380, 2005.

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    cover image ACM Conferences
    EC '11: Proceedings of the 12th ACM conference on Electronic commerce
    June 2011
    384 pages
    ISBN:9781450302616
    DOI:10.1145/1993574

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 05 June 2011

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    1. market design
    2. matching

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    EC '11
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    EC '11: ACM Conference on Electronic Commerce
    June 5 - 9, 2011
    California, San Jose, USA

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    Overall Acceptance Rate 664 of 2,389 submissions, 28%

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    • (2022)A theoretical and computational equilibria analysis of a multi-player Kidney Exchange ProgramEuropean Journal of Operational Research10.1016/j.ejor.2022.05.027Online publication date: May-2022
    • (2022)Kidney Exchange ProgramsEncyclopedia of Optimization10.1007/978-3-030-54621-2_744-1(1-11)Online publication date: 21-Sep-2022
    • (2021)Fairness models for multi-agent kidney exchange programmesOmega10.1016/j.omega.2020.102333102(102333)Online publication date: Jul-2021
    • (2017)Nash equilibria in the two-player kidney exchange gameMathematical Programming: Series A and B10.1007/s10107-016-1013-7161:1-2(389-417)Online publication date: 1-Jan-2017
    • (2016)Digital good exchangeProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence10.5555/3060621.3060659(264-270)Online publication date: 9-Jul-2016
    • (2016)A Bounded-Risk Mechanism for the Kidney Exchange GameLATIN 2016: Theoretical Informatics10.1007/978-3-662-49529-2_31(416-428)Online publication date: 22-Mar-2016
    • (2015)Mechanism design and implementation for lung exchangeProceedings of the 24th International Conference on Artificial Intelligence10.5555/2832249.2832278(209-215)Online publication date: 25-Jul-2015
    • (2015)Ignorance is Almost BlissProceedings of the Sixteenth ACM Conference on Economics and Computation10.1145/2764468.2764479(325-342)Online publication date: 15-Jun-2015
    • (2015)Paired and Altruistic Kidney Donation in the UKACM Journal of Experimental Algorithmics10.1145/267012919(1-21)Online publication date: 7-Jan-2015
    • (2015)An improved 2-agent kidney exchange mechanismTheoretical Computer Science10.1016/j.tcs.2015.04.013589:C(53-60)Online publication date: 19-Jul-2015
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