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The Bipartite Rationing Problem

Author

Listed:
  • Hervé Moulin

    (Adam Smith Business School, University of Glasgow, Glasgow G12 8QQ, Scotland)

  • Jay Sethuraman

    (Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027)

Abstract

In the bipartite rationing problem, a set of agents share a single resource available in different “types,” each agent has a claim over only a subset of the resource types, and these claims overlap in arbitrary fashion. The goal is to divide fairly the various types of resources between the claimants when resources are in short supply. With a single type of resource, this is the standard rationing problem [O'Neill B (1982) A problem of rights arbitration from the Talmud. Math. Soc. Sci. 2(4):345--371], of which the three benchmark solutions are the proportional, uniform gains, and uniform losses methods. We extend these methods to the bipartite context, imposing the familiar consistency requirement: the division is unchanged if we remove an agent (respectively, a resource), and take away at the same time his share of the various resources (respectively, reduce the claims of the relevant agents). The uniform gains and uniform losses methods have infinitely many consistent extensions, but the proportional method has only one. In contrast, we find that most parametric rationing methods [Young HP (1987a) On dividing an amount according to individual claims or liabilities. Math. Oper. Res. 12(3):397--414], [Thomson W (2003) Axiomatic and game-theoretic analysis of bankruptcy and taxation problems. Math. Soc. Sci. 45(3):249--297] cannot be consistently extended.

Suggested Citation

  • Hervé Moulin & Jay Sethuraman, 2013. "The Bipartite Rationing Problem," Operations Research, INFORMS, vol. 61(5), pages 1087-1100, October.
  • Handle: RePEc:inm:oropre:v:61:y:2013:i:5:p:1087-1100
    DOI: 10.1287/opre.2013.1199
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    References listed on IDEAS

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    Cited by:

    1. Péter Csóka & P. Jean-Jacques Herings, 2021. "An Axiomatization of the Proportional Rule in Financial Networks," Management Science, INFORMS, vol. 67(5), pages 2799-2812, May.
    2. Han, Lining & Juarez, Ruben, 2018. "Free intermediation in resource transmission," Games and Economic Behavior, Elsevier, vol. 111(C), pages 75-84.
    3. Thomson, William, 2015. "Axiomatic and game-theoretic analysis of bankruptcy and taxation problems: An update," Mathematical Social Sciences, Elsevier, vol. 74(C), pages 41-59.
    4. Rahmi İlkılıç & Çağatay Kayı, 2014. "Allocation rules on networks," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 877-892, December.
    5. Moulin, Herve, 2017. "Consistent bilateral assignment," Mathematical Social Sciences, Elsevier, vol. 90(C), pages 43-55.
    6. Csoka, Péter & Herings, P. Jean-Jacques, 2016. "Decentralized Clearing in Financial Networks (RM/16/005-revised-)," Research Memorandum 037, Maastricht University, Graduate School of Business and Economics (GSBE).
    7. Qianqian Kong & Hans Peters, 2023. "Sequential claim games," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(3), pages 955-975, September.
    8. Long, Yan & Sethuraman, Jay & Xue, Jingyi, 2021. "Equal-quantile rules in resource allocation with uncertain needs," Journal of Economic Theory, Elsevier, vol. 197(C).
    9. Péter Csóka & P. Jean-Jacques Herings, 2018. "Decentralized Clearing in Financial Networks," Management Science, INFORMS, vol. 64(10), pages 4681-4699, October.
    10. Mirjam Groote Schaarsberg & Hans Reijnierse & Peter Borm, 2018. "On solving mutual liability problems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 87(3), pages 383-409, June.
    11. Moulin, Hervé, 2016. "Entropy, desegregation, and proportional rationing," Journal of Economic Theory, Elsevier, vol. 162(C), pages 1-20.

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