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Identifying and Quantifying (Un)Improvable Students

Author

Listed:
  • Ortega, Josué
  • Ziegler, Gabriel
  • Arribillaga, R. Pablo
  • Zhao, Geng

Abstract

The Deferred Acceptance (DA) mechanism can generate inefficient placements. Although Pareto-dominant mechanisms exist, it remains unclear which and how many students could improve their DA assignment. We characterize the set of unimprovable students and show that it includes those unassigned or matched with their least preferred schools. Nevertheless, by proving that in large markets DA's envy digraph contains a unique giant strongly connected component, we establish that almost all students are improvable, and furthermore, they can benefit simultaneously via disjoint trading cycles. Our findings reveal both the pervasiveness of DA's inefficiency and the remarkable effectiveness of Pareto-dominant mechanisms in addressing it, regardless of the specific mechanism chosen.

Suggested Citation

  • Ortega, Josué & Ziegler, Gabriel & Arribillaga, R. Pablo & Zhao, Geng, 2025. "Identifying and Quantifying (Un)Improvable Students," QBS Working Paper Series 2025/05, Queen's University Belfast, Queen's Business School.
  • Handle: RePEc:zbw:qmsrps:202505
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    File URL: https://www.econstor.eu/bitstream/10419/318333/1/wps2025-05.pdf
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    More about this item

    Keywords

    unimprovable students; school choice; random markets;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design

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