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Student Portfolios and the College Admissions Problem
Author(s) -
Héctor Chade,
Gordon Κ. Lewis,
Lones Smith
Publication year - 2014
Publication title -
the review of economic studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 15.641
H-Index - 141
eISSN - 1467-937X
pISSN - 0034-6527
DOI - 10.1093/restud/rdu003
Subject(s) - state (computer science) , library science , history , classics , computer science , algorithm
We develop a decentralized Bayesian model of college admissions with two ranked colleges, heterogeneous students, and two realistic match frictions: students find it costly to apply to college, and college evaluations of their applications are uncertain. Students thus face a portfolio choice problem in their application decision, while colleges choose admissions standards that act like market-clearing prices. Enrollment at each college is affected by the standards at the other college through student portfolio reallocation. In equilibrium, student-college sorting may fail: weaker students sometimes apply more aggressively, and the weaker college might impose higher standards. Applying our framework, we analyse affirmative action, showing how it induces minority applicants to construct their application portfolios as if they were majority students of higher caliber.

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