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Reversing Reserves

Author

Listed:
  • Parag A. Pathak

    (Department of Economics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139; National Bureau of Economic Research, Cambridge, Massachusetts 02138)

  • Alex Rees-Jones

    (National Bureau of Economic Research, Cambridge, Massachusetts 02138; Department of Business Economics and Public Policy, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Tayfun Sönmez

    (Department of Economics, Boston College, Chestnut Hill, Massachusetts 02467)

Abstract

Affirmative action policies are often implemented through reserve systems. In this study, we demonstrate that reserve systems face widespread misunderstanding by the public. This misunderstanding can lead individuals to support policies that ineffectively pursue their interests. To establish these claims, we present 1,013 participants in the Understanding America Study with choices between pairs of reserve systems. Participants are members of the group receiving affirmative action and are financially incentivized to choose the system that maximizes their chance of admission. Using this data, we apply a novel approach to identifying the rate of uptake of different decision rules used by participants. We find that participants rarely use a fully optimal decision rule. In contrast, we find that many choices—40% in our primary estimates—are rationalized by a nearly correct decision rule, with errors driven solely by failing to appreciate the importance of processing order. Failing to account for processing order causes individuals to fail to distinguish between two policies that achieve different degrees of affirmative action: policies that provide nonbinding minimum guarantees of the number of spaces allocated and policies that provide spaces over-and-above what would be allocated absent a reserve. Confusion about the importance of processing order helps to explain otherwise surprising decisions made in field applications of reserve systems. We discuss implications for managers and policy makers who are trying to implement reserve systems and who are accountable to the public.

Suggested Citation

  • Parag A. Pathak & Alex Rees-Jones & Tayfun Sönmez, 2023. "Reversing Reserves," Management Science, INFORMS, vol. 69(11), pages 6940-6953, November.
  • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:11:p:6940-6953
    DOI: 10.1287/mnsc.2023.4669
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    References listed on IDEAS

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    9. Parag A. Pathak & Alex Rees-Jones & Tayfun Sönmez, 2025. "Immigration Lottery Design: Engineered and Coincidental Consequences of H-1B Reforms," The Review of Economics and Statistics, MIT Press, vol. 107(1), pages 1-13, January.
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    2. Parag A. Pathak & Alex Rees-Jones & Tayfun Sönmez, 2025. "Immigration Lottery Design: Engineered and Coincidental Consequences of H-1B Reforms," The Review of Economics and Statistics, MIT Press, vol. 107(1), pages 1-13, January.
    3. 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.
    4. Parag A. Pathak & Tayfun Sönmez & M. Utku Ünver & M. Bumin Yenmez, 2020. "Leaving No Ethical Value Behind: Triage Protocol Design for Pandemic Rationing," NBER Working Papers 26951, National Bureau of Economic Research, Inc.

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    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

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