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Respecting priorities versus respecting preferences in school choice: When is there a trade-off?

Author

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  • Cantillon, Estelle
  • Chen, Li
  • Pereyra, Juan S.

Abstract

A classic trade-off that school districts face when deciding which matching algorithm to use is that it is not possible to always respect both priorities and preferences. The student-proposing deferred acceptance algorithm (DA) respects priorities but can lead to inefficient allocations. We identify a new condition on school choice markets under which DA is efficient. Our condition generalizes earlier conditions by placing restrictions on how preferences and priorities relate to one another only on the parts that are relevant for the assignment. Whenever there is a unique allocation that respects priorities, our condition captures all the environments for which DA is efficient. We show through stylized examples and simulations that our condition significantly expands the range of known environments for which DA is efficient. We also discuss how our condition sheds light on existing empirical findings.

Suggested Citation

  • Cantillon, Estelle & Chen, Li & Pereyra, Juan S., 2024. "Respecting priorities versus respecting preferences in school choice: When is there a trade-off?," Games and Economic Behavior, Elsevier, vol. 148(C), pages 82-96.
    • Handle: RePEc:eee:gamebe:v:148:y:2024:i:c:p:82-96
    DOI: 10.1016/j.geb.2024.08.012
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    More about this item

    Keywords

    Matching; Envyfreeness; Fairness; Efficiency; Priorities; Preferences; Mutually best pairs;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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