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Single versus Multiple Randomization in Matching Mechanisms

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  • André Schmelzer

    (Max Planck Institute for Research on Collective Goods)

Abstract

This paper experimentally studies an essential institutional feature of matching markets: Randomization of allocation priorities. I compare single and multiple randomization in the student assignment problem with ties. The Gale-Shapley deferred acceptance algorithm is employed after indifferences in school priorities are resolved by either random procedure. The main result is that a significant fraction of individuals prefers multiple to single randomization, although both are equivalent in expectation. Multiple randomization is perceived to be fairer. One theoretical explanation is the failure to disregard compound lotteries. These results show that random procedures are not inherently neutral with respect to preferences and fairness perceptions.

Suggested Citation

  • André Schmelzer, 2016. "Single versus Multiple Randomization in Matching Mechanisms," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2016_08, Max Planck Institute for Research on Collective Goods, revised Mar 2017.
    • Handle: RePEc:mpg:wpaper:2016_08
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. André Schmelzer, 2018. "Strategy-Proofness of Stochastic Assignment Mechanisms," The Journal of Mechanism and Institution Design, Society for the Promotion of Mechanism and Institution Design, University of York, vol. 3(1), pages 17-50, December.
    2. Hakimov, Rustamdjan & Kübler, Dorothea, 2021. "Experiments on centralized school choice and college admissions: a survey," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 24(2), pages 434-488.

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    More about this item

    Keywords

    market design; school choice; mechanism design; experiment; deferred acceptance algorithm; randomization; tie-breaking;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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