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Truncation strategies in two-sided matching markets: Theory and experiment

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  • Castillo, Marco
  • Dianat, Ahrash

Abstract

We investigate strategic behavior in a centralized matching clearinghouse based on the Gale–Shapley deferred acceptance algorithm. To do so, we conduct a laboratory experiment to test the degree to which agents strategically misrepresent their preferences by submitting a “truncation” of their true preferences. Our experimental design uses a restricted environment in which a particular form of truncation is always a best response. We find that subjects do not truncate their preferences more often when truncation is profitable. They do, however, truncate their preferences less often when truncation is dangerous – that is, when there is a risk of “over-truncating” and remaining unmatched. Our findings suggest that behavioral insights can play an important role in the field of market design.

Suggested Citation

  • Castillo, Marco & Dianat, Ahrash, 2016. "Truncation strategies in two-sided matching markets: Theory and experiment," Games and Economic Behavior, Elsevier, vol. 98(C), pages 180-196.
    • Handle: RePEc:eee:gamebe:v:98:y:2016:i:c:p:180-196
    DOI: 10.1016/j.geb.2016.06.006
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Klijn, Flip & Pais, Joana & Vorsatz, Marc, 2019. "Static versus dynamic deferred acceptance in school choice: Theory and experiment," Games and Economic Behavior, Elsevier, vol. 113(C), pages 147-163.
    2. Aue, Robert & Klein, Thilo & Ortega, Josué, 2020. "What happens when separate and unequal school districts merge?," ZEW Discussion Papers 20-032, ZEW - Leibniz Centre for European Economic Research.
    3. Kyropoulou, Maria & Ortega, Josué & Segal-Halevi, Erel, 2022. "Fair cake-cutting in practice," Games and Economic Behavior, Elsevier, vol. 133(C), pages 28-49.
    4. Marco Castillo & Ahrash Dianat, 2021. "Strategic uncertainty and equilibrium selection in stable matching mechanisms: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1365-1389, December.
    5. Aue, Robert & Bach, Maximilian & Heigle, Julia & Klein, Thilo & Pfeiffer, Friedhelm & Zapp, Kristina, 2020. "The implication of school admission rules for segregation and educational inequality: Research report," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 223254.
    6. Hakimov, Rustamdjan & Kübler, Dorothea, 2019. "Experiments On Matching Markets: A Survey," Rationality and Competition Discussion Paper Series 153, CRC TRR 190 Rationality and Competition.
    7. Thilo Klein & Robert Aue & Josue Ortega, 2020. "School choice with independent versus consolidated districts," Papers 2006.13209, arXiv.org, revised Jul 2024.
    8. Christian Haas & Margeret Hall, 2019. "Two-Sided Matching for mentor-mentee allocations—Algorithms and manipulation strategies," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-27, March.
    9. Afacan, Mustafa Oğuz & Evdokimov, Piotr & Hakimov, Rustamdjan & Turhan, Bertan, 2022. "Parallel markets in school choice," Games and Economic Behavior, Elsevier, vol. 133(C), pages 181-201.
    10. 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.
    11. Qiufu Chen & Yuanmei Li & Xiaopeng Yin & Luosai Zhang & Siyi Zhou, 2024. "The Machiavellian frontier of stable mechanisms," Papers 2405.12804, arXiv.org, revised Jul 2024.

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    More about this item

    Keywords

    Two-sided matching; Truncation strategies; Experiments;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design

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