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Matching and chatting: An experimental study of the impact of network communication on school-matching mechanisms

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  • Ding, Tingting
  • Schotter, Andrew

Abstract

While, in theory, the school matching problem is a static non-cooperative one-shot game, in reality the “matching game” is played by parents who choose their strategies after consulting or chatting with other parents in their social networks. In this paper we compare the performance of the Boston and the Gale–Shapley mechanisms in the presence of chatting through social networks. Our results indicate that allowing subjects to chat has an important impact on the likelihood that subjects change their strategies and also on the welfare and stability of the outcomes determined by the mechanism.

Suggested Citation

  • Ding, Tingting & Schotter, Andrew, 2017. "Matching and chatting: An experimental study of the impact of network communication on school-matching mechanisms," Games and Economic Behavior, Elsevier, vol. 103(C), pages 94-115.
    • Handle: RePEc:eee:gamebe:v:103:y:2017:i:c:p:94-115
    DOI: 10.1016/j.geb.2016.02.004
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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. Basteck, Christian & Klaus, Bettina & Kübler, Dorothea, 2021. "How lotteries in school choice help to level the playing field," Games and Economic Behavior, Elsevier, vol. 129(C), pages 198-237.
    3. Vasilaky, Kathryn N. & Islam, Asif M., 2018. "Competition or cooperation? Using team and tournament incentives for learning among female farmers in rural Uganda," World Development, Elsevier, vol. 103(C), pages 216-225.
    4. Huang, Lingbo & Xiao, Erte, 2021. "Peer effects in public support for Pigouvian taxation," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 192-204.
    5. Guillen, Pablo & Hakimov, Rustamdjan, 2018. "The effectiveness of top-down advice in strategy-proof mechanisms: A field experiment," European Economic Review, Elsevier, vol. 101(C), pages 505-511.
    6. Christian Basteck & Marco Mantovani, 2023. "Aiding applicants: leveling the playing field within the immediate acceptance mechanism," Review of Economic Design, Springer;Society for Economic Design, vol. 27(1), pages 187-220, February.
    7. Alex Rees-Jones & Ran Shorrer & Chloe J. Tergiman, 2020. "Correlation Neglect in Student-to-School Matching," NBER Working Papers 26734, National Bureau of Economic Research, Inc.
    8. Bnaya Dreyfuss & Ori Heffetz & Matthew Rabin, 2019. "Expectations-Based Loss Aversion May Help Explain Seemingly Dominated Choices in Strategy-Proof Mechanisms," NBER Working Papers 26394, National Bureau of Economic Research, Inc.
    9. Takehito Masuda & Ryo Mikami & Toyotaka Sakai & Shigehiro Serizawa & Takuma Wakayama, 2022. "The net effect of advice on strategy-proof mechanisms: an experiment for the Vickrey auction," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 902-941, June.
    10. Meisner, Vincent, 2021. "Report-Dependent Utility and Strategy-Proofness," Rationality and Competition Discussion Paper Series 289, CRC TRR 190 Rationality and Competition.
    11. Hakimov, Rustamdjan & Kübler, Dorothea, 2019. "Experiments On Matching Markets: A Survey," Rationality and Competition Discussion Paper Series 153, CRC TRR 190 Rationality and Competition.
    12. Koutout, Kristine & Dustan, Andrew & Van der Linden, Martin & Wooders, Myrna, 2021. "Mechanism performance under strategy advice and sub-optimal play: A school choice experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    13. Yan Chen & YingHua He, 2022. "Information acquisition and provision in school choice: a theoretical investigation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(1), pages 293-327, July.
    14. Li Chen & Juan S. Pereyra & Min Zhu, 2022. "Time-constrained Dynamic Mechanisms for College Admissions," Papers 2207.12179, arXiv.org.
    15. 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.
    16. 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.
    17. Guillen, Pablo & Kesten, Onur & Kiefer, Alexander & Melatos, Mark, 2020. "Evaluating Advice in a Matching Mechanism with Experienced Participants: An Experimental Study of University Applicant Behaviour in Australia," Working Papers 2020-13, University of Sydney, School of Economics.
    18. Guillen, Pablo & Kesten, Onur & Kiefer, Alexander & Melatos, Mark, 2020. "A Field Evaluation of a Matching Mechanism: University Applicant Behaviour in Australia," Working Papers 2020-15, University of Sydney, School of Economics.

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    More about this item

    Keywords

    School choice; Matching; Mechanism design; Networks; Chat;
    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
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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