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The Need for (long) Chains in Kidney Exchange

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Listed:
  • Itai Ashlagi
  • David Gamarnik
  • Michael A. Rees
  • Alvin E. Roth

Abstract

It has been previously shown that for sufficiently large pools of patient-donor pairs, (almost) efficient kidney exchange can be achieved by using at most 3-way cycles, i.e. by using cycles among no more than 3 patient-donor pairs. However, as kidney exchange has grown in practice, cycles among n>3 pairs have proved useful, and long chains initiated by non-directed, altruistic donors have proven to be very effective. We explore why this is the case, both empirically and theoretically. We provide an analytical model of exchange when there are many highly sensitized patients, and show that large cycles of exchange or long chains can significantly increase efficiency when the opportunities for exchange are sparse. As very large cycles of exchange cannot be used in practice, long non-simultaneous chains initiated by non-directed donors significantly increase efficiency in patient pools of the size and composition that presently exist. Most importantly, long chains benefit highly sensitized patients without harming low-sensitized patients.

Suggested Citation

  • Itai Ashlagi & David Gamarnik & Michael A. Rees & Alvin E. Roth, 2012. "The Need for (long) Chains in Kidney Exchange," NBER Working Papers 18202, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:18202
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    References listed on IDEAS

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    1. Alvin E. Roth, 2009. "What Have We Learned from Market Design?," Innovation Policy and the Economy, University of Chicago Press, vol. 9(1), pages 79-112.
    2. Roth, Alvin E. & Sonmez, Tayfun & Unver, Utku & Delmonico, Francis & Saidman, Susan L., 2014. "Utilizing List Exchange and Non-directed Donation through “Chain” Paired Kidney Donations," MPRA Paper 58246, University Library of Munich, Germany.
    3. Alvin E. Roth & Tayfun Sönmez, 2005. "A Kidney Exchange Clearinghouse in New England," American Economic Review, American Economic Association, vol. 95(2), pages 376-380, May.
    4. Alvin E. Roth & Tayfun Sönmez & M. Utku Ünver, 2004. "Kidney Exchange," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 457-488.
    5. M. Utku Ünver, 2010. "Dynamic Kidney Exchange," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(1), pages 372-414.
    6. Sönmez, Tayfun & Ünver, M. Utku, 2014. "Altruistically unbalanced kidney exchange," Journal of Economic Theory, Elsevier, vol. 152(C), pages 105-129.
    7. Tayfun Sönmez & Alvin E. Roth & M. Utku Ünver, 2007. "Efficient Kidney Exchange: Coincidence of Wants in Markets with Compatibility-Based Preferences," American Economic Review, American Economic Association, vol. 97(3), pages 828-851, June.
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    Citations

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    Cited by:

    1. Ross Anderson & Itai Ashlagi & David Gamarnik & Yash Kanoria, 2017. "Efficient Dynamic Barter Exchange," Operations Research, INFORMS, vol. 65(6), pages 1446-1459, December.
    2. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    3. Kratz, Jörgen, 2024. "Conflicting objectives in kidney exchange," Journal of Economic Theory, Elsevier, vol. 217(C).
    4. Mohammad Akbarpour & Julien Combe & Yinghua He & Victor Hiller & Robert Shimer & Olivier Tercieux, 2020. "Unpaired Kidney Exchange: Overcoming Double Coincidence of Wants without Money," Post-Print halshs-02973042, HAL.
    5. Jeffrey Naecker, 2015. "The Lives of Others: Predicting Donations with Non-Choice Responses," Discussion Papers 15-021, Stanford Institute for Economic Policy Research.
    6. Sönmez, Tayfun & Ünver, M. Utku & Yılmaz, Özgür, 2018. "How (not) to integrate blood subtyping technology to kidney exchange," Journal of Economic Theory, Elsevier, vol. 176(C), pages 193-231.
    7. John P. Dickerson & Ariel D. Procaccia & Tuomas Sandholm, 2019. "Failure-Aware Kidney Exchange," Management Science, INFORMS, vol. 65(4), pages 1768-1791, April.
    8. Lawrence M. Ausubel & Thayer Morrill, 2014. "Sequential Kidney Exchange," American Economic Journal: Microeconomics, American Economic Association, vol. 6(3), pages 265-285, August.
    9. Itai Ashlagi & Maximilien Burq & Patrick Jaillet & Vahideh Manshadi, 2019. "On Matching and Thickness in Heterogeneous Dynamic Markets," Operations Research, INFORMS, vol. 67(4), pages 927-949, July.
    10. Mehdi Zeynivand & Mehdi Najafi & Mohammad Modarres Yazdi, 2023. "A Recourse Policy to Improve Number of Successful Transplants in Uncertain Kidney Exchange Programs," Journal of Optimization Theory and Applications, Springer, vol. 197(2), pages 476-507, May.
    11. Jorgen Kratz, 2019. "Triage in Kidney Exchange," Discussion Papers 19/04, Department of Economics, University of York.
    12. Tuan Le & Jon M. Stauffer & Bala Shetty & Chelliah Sriskandarajah, 2023. "An optimization framework for analyzing dual‐donor organ exchange," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 740-761, March.
    13. Tayfun Sönmez & M Utku Ünver, 2017. "Market design for living-donor organ exchanges: an economic policy perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 676-704.
    14. Avrim Blum & Paul Golz, 2021. "Incentive-Compatible Kidney Exchange in a Slightly Semi-Random Model," Papers 2106.11387, arXiv.org.
    15. Margarida Carvalho & Xenia Klimentova & Kristiaan Glorie & Ana Viana & Miguel Constantino, 2021. "Robust Models for the Kidney Exchange Problem," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 861-881, July.

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    More about this item

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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