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Assignment maximization

Author

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  • Mustafa Oğuz Afacan
  • Inácio Bó
  • Bertan Turhan

Abstract

We evaluate the goal of maximizing the number of individuals matched to acceptable outcomes. We present two mechanisms that maximize assignments. The first is Pareto efficient and undominated—in terms of the number of assignments—in equilibrium. The second is fair for unassigned agents and assigns weakly more agents than any stable mechanism in equilibrium.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jpbect:v:25:y:2023:i:1:p:123-138
    DOI: 10.1111/jpet.12602
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    Cited by:

    1. Noda, Shunya, 2023. "A planner-optimal matching mechanism and its incentive compatibility in a restricted domain," Games and Economic Behavior, Elsevier, vol. 141(C), pages 364-379.
    2. 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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    More about this item

    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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