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Design of Lotteries and Wait-Lists for Affordable Housing Allocation

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  • Nick Arnosti

    (Decision, Risk and Operations, Columbia Business School, Columbia University, New York, New York 10027)

  • Peng Shi

    (Data Sciences and Operations, USC Marshall School of Business, University of Southern California, Los Angeles, California 90089)

Abstract

We study a setting in which dynamically arriving items are assigned to waiting agents, who have heterogeneous values for distinct items and heterogeneous outside options. An ideal match would both target items to agents with the worst outside options and match them to items for which they have high value. Our first finding is that two common approaches—using independent lotteries for each item and using a waitlist in which agents lose priority when they reject an offer—lead to identical outcomes in equilibrium. Both approaches encourage agents to accept items that are marginal fits. We show that the quality of the match can be improved by using a common lottery for all items. If participation costs are negligible, a common lottery is equivalent to several other mechanisms, such as limiting participants to a single lottery, using a waitlist in which offers can be rejected without punishment, or using artificial currency. However, when there are many agents with low need, there is an unavoidable trade-off between matching and targeting. In this case, utilitarian welfare may be maximized by focusing on good matching (if the outside option distribution is light tailed) or good targeting (if it is heavy tailed). Using a common lottery achieves near-optimal matching, whereas introducing participation costs achieves near-optimal targeting.

Suggested Citation

  • Nick Arnosti & Peng Shi, 2020. "Design of Lotteries and Wait-Lists for Affordable Housing Allocation," Management Science, INFORMS, vol. 66(6), pages 2291-2307, June.
  • Handle: RePEc:inm:ormnsc:v:66:y:2020:i:6:p:2291-2307
    DOI: 10.1287/mnsc.2019.3311
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    References listed on IDEAS

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    Cited by:

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    3. In'acio B'o & Li Chen, 2021. "Designing Heaven's Will: The job assignment in the Chinese imperial civil service," Papers 2105.02457, arXiv.org, revised Sep 2021.
    4. Jerry Anunrojwong & Krishnamurthy Iyer & Vahideh Manshadi, 2023. "Information Design for Congested Social Services: Optimal Need-Based Persuasion," Management Science, INFORMS, vol. 69(7), pages 3778-3796, July.
    5. Sait Tunç & Burhaneddin Sandıkçı & Bekir Tanrıöver, 2022. "A Simple Incentive Mechanism to Alleviate the Burden of Organ Wastage in Transplantation," Management Science, INFORMS, vol. 68(8), pages 5980-6002, August.
    6. Cody Cook & Pearl Z. Li & Ariel J. Binder, 2023. "Where to Build Affordable Housing? Evaluating the Tradeoffs of Location," Working Papers 23-62, Center for Economic Studies, U.S. Census Bureau.
    7. Holzer, Jorge & McConnell, Kenneth, 2023. "Extraction rights allocation with liquidity constraints," Resource and Energy Economics, Elsevier, vol. 71(C).
    8. Maximilian Kasy & Alexander Teytelboym, 2023. "Matching with semi-bandits," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 45-66.
    9. Lei, Xiaochang, 2023. "Optimal queue to minimize waste," Mathematical Social Sciences, Elsevier, vol. 123(C), pages 87-94.

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