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School choice under complete information: An experimental study

Author

Listed:
  • Yan Chen

    (University of Michigan, USA, and Tsinghua University, China)

  • Yingzhi Liang

    (University of Michigan, USA)

  • Tayfun Sönmez

    (Boston College, USA)

Abstract

We present an experimental study of three school choice mechanisms under complete information, using the designed environment in Chen & Sönmez (2006). We find that the top trading cycles (TTC) mechanism outperforms both the Gale-Shapley deferred acceptance (DA) and the Boston immediate acceptance (BOS) mechanism in terms of truth-telling and efficiency, whereas DA is more stable than either TTC or BOS. Compared to the incomplete information setting in Chen & Sönmez (2006), the performance of both TTC and BOS improves with more information, whereas that of DA does not.

Suggested Citation

  • Yan Chen & Yingzhi Liang & Tayfun Sönmez, 2016. "School choice under complete information: An experimental study," The Journal of Mechanism and Institution Design, Society for the Promotion of Mechanism and Institution Design, University of York, vol. 1(1), pages 45-82, December.
    • Handle: RePEc:jmi:articl:jmi-v1i1a2
    DOI: 10.22574/jmid.2016.12.002
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    References listed on IDEAS

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    14. Flip Klijn & Joana Pais & Marc Vorsatz, 2013. "Preference intensities and risk aversion in school choice: a laboratory experiment," Experimental Economics, Springer;Economic Science Association, vol. 16(1), pages 1-22, March.
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    Cited by:

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    2. Pablo Guillen & Róbert F. Veszteg, 2021. "Strategy-proofness in experimental matching markets," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 650-668, June.
    3. Ha, Wei & Kang, Le & Song, Yang, 2020. "College matching mechanisms and matching stability: Evidence from a natural experiment in China," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 206-226.
    4. Hoyer, B. & Stroh-Maraun, N., 2020. "Matching strategies of heterogeneous agents under incomplete information in a university clearinghouse," Games and Economic Behavior, Elsevier, vol. 121(C), pages 453-481.
    5. Nadja Stroh-Maraun, 2020. "Pareto Efficiency in Weighted School Choice Problems," Working Papers Dissertations 64, Paderborn University, Faculty of Business Administration and Economics.
    6. 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.
    7. 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.
    8. Yoan Hermstrüwer, 2019. "Transparency and Fairness in School Choice Mechanisms," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2019_11, Max Planck Institute for Research on Collective Goods.
    9. Hagiwara Makoto, 2023. "Double Implementation in Dominant Strategy Equilibria and Ex-Post Equilibria with Private Values," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 23(2), pages 663-678, June.
    10. Cho, Wonki Jo & Hafalir, Isa E. & Lim, Wooyoung, 2022. "Tie-breaking and efficiency in the laboratory school choice," Journal of Economic Theory, Elsevier, vol. 205(C).

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    More about this item

    Keywords

    School choice; experiment; mechanism design.;
    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
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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