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Costly information acquisition in centralized matching markets

Author

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  • Rustamdjan Hakimov
  • Dorothea Kübler
  • Siqi Pan

Abstract

When applying to a university, students and their parents devote considerable time acquiring information about university programs in order to form preferences. We explore ways to reduce wasteful information acquisition, that is, to help students avoid acquiring information about out‐of‐reach schools or universities, using a market design approach. Focusing on markets where students are ranked by universities based on exam scores, we find that, both theoretically and experimentally, a sequential serial dictatorship mechanism leads to higher student welfare than a direct serial dictatorship mechanism. This is because the sequential mechanism informs students about which universities are willing to admit them, thereby directing their search. Our experiments also show that the sequential mechanism has behavioral advantages because subjects deviate from the optimal search strategy less frequently than under the direct mechanism. Furthermore, providing historical cutoff scores under the direct mechanism can increase student welfare, especially when the information costs are high, although the observed effect is weaker than that of a sequential mechanism.

Suggested Citation

  • Rustamdjan Hakimov & Dorothea Kübler & Siqi Pan, 2023. "Costly information acquisition in centralized matching markets," Quantitative Economics, Econometric Society, vol. 14(4), pages 1447-1490, November.
  • Handle: RePEc:wly:quante:v:14:y:2023:i:4:p:1447-1490
    DOI: 10.3982/QE1955
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    Cited by:

    1. Aycinena, Diego & Elbittar, Alexander & Gomberg, Andrei & Rentschler, Lucas, 2023. "Does free information provision crowd out costly information acquisition? It's a matter of timing," Games and Economic Behavior, Elsevier, vol. 141(C), pages 182-195.
    2. Felipe Arteaga & Adam J Kapor & Christopher A Neilson & Seth D Zimmerman, 2022. "Smart Matching Platforms and Heterogeneous Beliefs in Centralized School Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1791-1848.
    3. Christopher Neilson & Felipe Arteaga & Adam Kapor & Seth Zimmerman, 2021. "Smart Matching Platforms and Heterogeneous Beliefs in Centralized School ChoiceSmart Matching Platforms and Heterogeneous Beliefs in Centralized School Choice," Working Papers 650, Princeton University, Department of Economics, Industrial Relations Section..
    4. 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.
    5. Maxey, Tyler, 2024. "School choice with costly information acquisition," Games and Economic Behavior, Elsevier, vol. 143(C), pages 248-268.
    6. Gian Caspari & Manshu Khanna, 2021. "Non-Standard Choice in Matching Markets," Papers 2111.06815, arXiv.org, revised Aug 2024.

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    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design

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