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Assignment Mechanisms Under Distributional Constraints

Author

Listed:
  • Itai Ashlagi

    (Department of Management Science and Engineering, Stanford University, Stanford, California 94305)

  • Amin Saberi

    (Department of Management Science and Engineering, Stanford University, Stanford, California 94305)

  • Ali Shameli

    (Department of Management Science and Engineering, Stanford University, Stanford, California 94305)

Abstract

We generalize the serial dictatorship (SD) and probabilistic serial (PS) mechanism for assigning indivisible objects (seats in a school) to agents (students) to accommodate distributional constraints. Such constraints are motivated by equity considerations. Our generalization of SD maintains several of its desirable properties, including strategyproofness, Pareto optimality, and computational tractability, while satisfying the distributional constraints with a small error. Our generalization of the PS mechanism finds an ordinally efficient and envy-free assignment while satisfying the distributional constraint with a small error. We show, however, that no ordinally efficient and envy-free mechanism is also weakly strategyproof. Both of our algorithms assign at least the same number of students as the optimum fractional assignment.

Suggested Citation

  • Itai Ashlagi & Amin Saberi & Ali Shameli, 2020. "Assignment Mechanisms Under Distributional Constraints," Operations Research, INFORMS, vol. 68(2), pages 467-479, March.
  • Handle: RePEc:inm:oropre:v:68:y:2020:i:2:p:467-479
    DOI: 10.1287/opre.2019.1887
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    References listed on IDEAS

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    Cited by:

    1. Aziz, Haris & Brandl, Florian, 2022. "The vigilant eating rule: A general approach for probabilistic economic design with constraints," Games and Economic Behavior, Elsevier, vol. 135(C), pages 168-187.
    2. Mustafa Oğuz Afacan & Inácio Bó & Bertan Turhan, 2023. "Assignment maximization," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(1), pages 123-138, February.
    3. Priyanka Shende, 2020. "Constrained Serial Rule on the Full Preference Domain," Papers 2011.01178, arXiv.org.
    4. Jalota, Devansh & Pavone, Marco & Qi, Qi & Ye, Yinyu, 2023. "Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms," Games and Economic Behavior, Elsevier, vol. 141(C), pages 223-260.
    5. Haris Aziz & Florian Brandl, 2020. "The Vigilant Eating Rule: A General Approach for Probabilistic Economic Design with Constraints," Papers 2008.08991, arXiv.org, revised Jul 2021.
    6. Yasushi Kawase & Hanna Sumita & Yu Yokoi, 2022. "Random Assignment of Indivisible Goods under Constraints," Papers 2208.07666, arXiv.org.
    7. Hai Nguyen & Thành Nguyen & Alexander Teytelboym, 2021. "Stability in Matching Markets with Complex Constraints," Management Science, INFORMS, vol. 67(12), pages 7438-7454, December.
    8. Marek Bojko, 2020. "The Probabilistic Serial and Random Priority Mechanisms with Minimum Quotas," Papers 2012.11028, arXiv.org.
    9. Demeulemeester, Tom & Goossens, Dries & Hermans, Ben & Leus, Roel, 2023. "A pessimist’s approach to one-sided matching," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1087-1099.
    10. Mustafa Oğuz Afacan & Umut Dur, 2023. "Strategy‐proof size improvement: is it possible?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 321-338, April.

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