Preference Estimation in Centralized College Admissions From Reported Lists

Empirical Economics

37 Pages Posted: 1 Mar 2018 Last revised: 4 May 2022

See all articles by Hayri Alper Arslan

Hayri Alper Arslan

University of Texas at San Antonio - College of Business - Department of Economics

Date Written: November 8, 2020

Abstract

This paper proposes a practical and data-driven preference estimation method from reported lists in a Deferred Acceptance mechanism when there are incentives to report these lists strategically. Data on centralized college admissions from Turkey show many pieces of evidence that students construct their lists strategically according to their admission chances and previous years' admission outcomes. We develop a preference estimation method to evaluate reported lists within the set of colleges that are considered accessible to each student. This method allows us to create personal choice sets and to estimate student preferences by making valid utility comparisons that are supported by data and theory. We show the robustness of our estimation method compared to the existing estimation methods. A counterfactual admissions analysis based on our preference estimates suggests that students from low SES households are better off under a student sorting rule only based on high school GPAs.

Keywords: Preference estimation, Centralized admission mechanisms, Admission criteria, Welfare analysis

JEL Classification: C78, D12, D81

Suggested Citation

Arslan, Hayri Alper, Preference Estimation in Centralized College Admissions From Reported Lists (November 8, 2020). Empirical Economics , Available at SSRN: https://ssrn.com/abstract=3126391 or http://dx.doi.org/10.2139/ssrn.3126391

Hayri Alper Arslan (Contact Author)

University of Texas at San Antonio - College of Business - Department of Economics ( email )

6900 North Loop 1604 West
San Antonio, TX 78249
United States

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