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Inattention and Inequity in School Matching

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  • Stefan F. Bucher
  • Andrew Caplin

Abstract

The attractive properties of the Deferred Acceptance (DA) algorithm rest on the assumption of perfect information. Yet field studies of school matching show that information is imperfect, particularly for disadvantaged students. We model costly strategic learning when schools are ex ante symmetric, agree on their ranking of students, and learning is rationally inattentive. Our analytic solution quantifies how each student’s rank, learning costs and prior beliefs interact to determine their gross and net welfare as well as the extent and form of mistakes they make. In line with the evidence, we find that lower-ranked students are affected disproportionately more by information costs, generally suffering a larger welfare loss than higher-ranked students. Interactions between mechanism design, inattention and inequity are thus of first order importance.

Suggested Citation

  • Stefan F. Bucher & Andrew Caplin, 2021. "Inattention and Inequity in School Matching," NBER Working Papers 29586, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29586
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    Cited by:

    1. Andrew Caplin & David J. Deming & Søren Leth-Petersen & Ben Weidmann, 2023. "Economic Decision-Making Skill Predicts Income in Two Countries," NBER Working Papers 31674, National Bureau of Economic Research, Inc.

    More about this item

    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
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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