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The Large Core of College Admission Markets: Theory and Evidence

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  • P'eter Bir'o
  • Avinatan Hassidim
  • Assaf Romm
  • Ran I. Shorrer
  • S'andor S'ov'ag'o

Abstract

We study stable allocations in college admissions markets where students can attend the same college under different financial terms. The deferred acceptance algorithm identifies a stable allocation where funding is allocated based on merit. While merit-based stable allocations assign the same students to college, non-merit-based stable allocations may differ in the number of students assigned to college. In large markets, this possibility requires heterogeneity in applicants' sensitivity to financial terms. In Hungary, where such heterogeneity is present, a non-merit-based stable allocation would increase the number of assigned applicants by 1.9%, and affect 8.3% of the applicants relative to any merit-based stable allocation. These findings contrast sharply with findings from the matching (without contracts) literature.

Suggested Citation

  • P'eter Bir'o & Avinatan Hassidim & Assaf Romm & Ran I. Shorrer & S'andor S'ov'ag'o, 2020. "The Large Core of College Admission Markets: Theory and Evidence," Papers 2010.08631, arXiv.org, revised Aug 2022.
  • Handle: RePEc:arx:papers:2010.08631
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    References listed on IDEAS

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    Cited by:

    1. Martin Van der Linden, 2019. "Deferred acceptance is minimally manipulable," International Journal of Game Theory, Springer;Game Theory Society, vol. 48(2), pages 609-645, June.
    2. Simon Mauras, 2020. "Two-Sided Random Matching Markets: Ex-Ante Equivalence of the Deferred Acceptance Procedures," Papers 2005.08584, arXiv.org.

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