Inattention and Inequity in School Matching

Working Paper: NBER ID: w29586

Authors: 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.

Keywords: information acquisition; school choice; matching; deferred acceptance; rational inattention

JEL Codes: C78; D47; D82; D83


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
rank (Y40)welfare loss (D69)
information costs (D83)welfare loss (D69)
rank (Y40)information costs (D83)
deferred acceptance algorithm (C78)inequity (D63)

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