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An experimental study on the incentives of the probabilistic serial mechanism

Author

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  • Hugh-Jones, David
  • Kurino, Morimitsu
  • Vanberg, Christoph

Abstract

We report an experiment on the Probabilistic Serial (PS) mechanism for allocating indivisible goods. The PS mechanism, a recently discovered alternative to the widely used Random Serial Dictatorship mechanism, has attractive fairness and efficiency properties if people report their preferences truthfully. However, the mechanism is not strategy-proof, so participants may not truthfully report their preferences. We investigate misreporting in a set of simple applications of the PS mechanism. We confront subjects with situations in which theory suggests that there is an incentive or no incentive to misreport. We find little misreporting in situations where misreporting is a Nash equilibrium. However, we also find a significant degree of misreporting in situations where there is actually no benefit in doing so. These findings suggest that the PS mechanism may have problems in terms of truthful elicitation.

Suggested Citation

  • Hugh-Jones, David & Kurino, Morimitsu & Vanberg, Christoph, 2013. "An experimental study on the incentives of the probabilistic serial mechanism," Discussion Papers, Research Unit: Market Behavior SP II 2013-204, WZB Berlin Social Science Center.
    • Handle: RePEc:zbw:wzbmbh:spii2013204
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    Cited by:

    1. Karl H.Schlag, 2015. "Who gives Direction to Statistical Testing? Best Practice meets Mathematically Correct Tests," Vienna Economics Papers vie1512, University of Vienna, Department of Economics.
    2. Guillen, Pablo & Hing, Alexander, 2014. "Lying through their teeth: Third party advice and truth telling in a strategy proof mechanism," European Economic Review, Elsevier, vol. 70(C), pages 178-185.
    3. Onur Kesten & Morimitsu Kurino & Alexander S. Nesterov, 2017. "Efficient lottery design," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 48(1), pages 31-57, January.
    4. Rustamdjan Hakimov & C.-Philipp Heller & Dorothea Kübler & Morimitsu Kurino, 2021. "How to Avoid Black Markets for Appointments with Online Booking Systems," American Economic Review, American Economic Association, vol. 111(7), pages 2127-2151, July.
    5. Fragiadakis, Daniel E. & Troyan, Peter, 2019. "Designing mechanisms to focalize welfare-improving strategies," Games and Economic Behavior, Elsevier, vol. 114(C), pages 232-252.
    6. Lingbo Huang & Tracy Xiao Liu & Jun Zhang, 2023. "Born to wait? A study on allocation rules in booking systems," Discussion Papers 2023-04, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    7. Hakimov, Rustamdjan & Kübler, Dorothea, 2019. "Experiments On Matching Markets: A Survey," Rationality and Competition Discussion Paper Series 153, CRC TRR 190 Rationality and Competition.
    8. Guillen, Pablo & Hakimov, Rustamdjan, 2014. "Monkey see, monkey do: Truth-telling in matching algorithms and the manipulation of others," Discussion Papers, Research Unit: Market Behavior SP II 2014-202, WZB Berlin Social Science Center.
    9. Trifunović Dejan, 2019. "The Review of Methods for Assignment of Elective Courses at Universities," Economic Themes, Sciendo, vol. 57(4), pages 511-526, December.
    10. repec:syd:wpaper:2123/9951 is not listed on IDEAS
    11. Pablo Guillen & Rustamdjan Hakimov, 2017. "Not quite the best response: truth-telling, strategy-proof matching, and the manipulation of others," Experimental Economics, Springer;Economic Science Association, vol. 20(3), pages 670-686, September.
    12. Yajing Chen & Patrick Harless & Zhenhua Jiao, 2021. "The probabilistic rank random assignment rule and its axiomatic characterization," Papers 2104.09165, arXiv.org.
    13. Karl H.Schlag, 2015. "Who gives Direction to Statistical Testing? Best Practice meets Mathematically Correct Tests," Vienna Economics Papers 1512, University of Vienna, Department of Economics.

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    Keywords

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    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
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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