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Efficient, Fair, and Incentive-Compatible Healthcare Rationing

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  • Haris Aziz
  • Florian Brandl

Abstract

Rationing of healthcare resources has emerged as an important issue, which has been discussed by medical experts, policy-makers, and the general public. We consider a rationing problem where medical units are to be allocated to patients. Each unit is reserved for one of several categories and each category has a priority ranking of the patients. We present an allocation rule that respects the priorities, complies with the eligibility requirements, allocates the largest feasible number of units, and does not incentivize agents to hide that they qualify through a category. The rule characterizes all possible allocations that satisfy the first three properties and is polynomial-time computable.

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  • Haris Aziz & Florian Brandl, 2021. "Efficient, Fair, and Incentive-Compatible Healthcare Rationing," Papers 2102.04384, arXiv.org, revised Sep 2021.
    • Handle: RePEc:arx:papers:2102.04384
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    Cited by:

    1. Orhan Aygün & Bertan Turhan, 2023. "How to De-Reserve Reserves: Admissions to Technical Colleges in India," Management Science, INFORMS, vol. 69(10), pages 6147-6164, October.
    2. Orhan Aygün & Bertan Turhan, 2023. "How to De-Reserve Reserves: Admissions to Technical Colleges in India," Management Science, INFORMS, vol. 69(10), pages 6147-6164, October.
    3. Hirata, Daisuke & 平田, 大祐 & Kasuya, Yusuke & 糟谷, 祐介 & Okumura, Yasunori & 奥村, 保規, 2023. "Stability, Strategy-Proofness, and Respect for Improvements," Discussion Papers 2023-01, Graduate School of Economics, Hitotsubashi University.
    4. Hadi Hosseini & Sujoy Sikdar & Rohit Vaish & Lirong Xia, 2022. "Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences," Papers 2203.07279, arXiv.org.

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