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Reversing Reserves

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  • Parag A. Pathak
  • Alex Rees-Jones
  • Tayfun Sönmez

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 non-binding 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, 2020. "Reversing Reserves," NBER Working Papers 26963, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26963
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    References listed on IDEAS

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    1. Basteck, Christian & Mantovani, Marco, 2018. "Cognitive ability and games of school choice," Games and Economic Behavior, Elsevier, vol. 109(C), pages 156-183.
    2. Parag A. Pathak & Alex Rees-Jones & Tayfun Sönmez, 2020. "Immigration Lottery Design: Engineered and Coincidental Consequences of H-1B Reforms," NBER Working Papers 26767, National Bureau of Economic Research, Inc.
    3. Tayfun Sönmez & M. Bumin Yenmez, 2019. "Constitutional Implementation of Vertical and Horizontal Reservations in India: A Unified Mechanism for Civil Service Allocation and College Admissions," Boston College Working Papers in Economics 978, Boston College Department of Economics.
    4. Federico Echenique & Alistair J. Wilson & Leeat Yariv, 2016. "Clearinghouses for two‐sided matching: An experimental study," Quantitative Economics, Econometric Society, vol. 7(2), pages 449-482, July.
    5. 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.
    6. Chen, Yan & Sonmez, Tayfun, 2006. "School choice: an experimental study," Journal of Economic Theory, Elsevier, vol. 127(1), pages 202-231, March.
    7. Umut Mert Dur & Parag A. Pathak & Tayfun Sönmez, 2016. "Explicit vs. Statistical Preferential Treatment in Affirmative Action: Theory and Evidence from Chicago’s Exam Schools," Boston College Working Papers in Economics 906, Boston College Department of Economics.
    8. Rees-Jones, Alex, 2018. "Suboptimal behavior in strategy-proof mechanisms: Evidence from the residency match," Games and Economic Behavior, Elsevier, vol. 108(C), pages 317-330.
    9. Tayfun Sönmez & M. Bumin Yenmez, 2019. "Affirmative Action in India via Vertical and Horizontal Reservations," Boston College Working Papers in Economics 977, Boston College Department of Economics.
    10. Dur, Umut & Pathak, Parag A. & Sönmez, Tayfun, 2020. "Explicit vs. statistical targeting in affirmative action: Theory and evidence from Chicago's exam schools," Journal of Economic Theory, Elsevier, vol. 187(C).
    11. Umut Dur & Scott Duke Kominers & Parag A. Pathak & Tayfun Sönmez, 2018. "Reserve Design: Unintended Consequences and the Demise of Boston’s Walk Zones," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2457-2479.
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    1. Parag A. Pathak & Alex Rees-Jones & Tayfun Sönmez, 2020. "Immigration Lottery Design: Engineered and Coincidental Consequences of H-1B Reforms," NBER Working Papers 26767, National Bureau of Economic Research, Inc.
    2. 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.
    3. Parag A. Pathak & Tayfun Sönmez & M. Utku Unver & 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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    More about this item

    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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