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IZA Discussion Paper No. 17237
August 2024
Statistical Discrimination and Optimal Mismatch in College Major Selection
Mary Kate Batistich, Timothy N. Bond, Sebastian Linde, Kevin J. Mumford

We develop a model of college major selection in an environment where firms and students have incomplete information about the student's aptitude. Students must choose from a continuum of majors which differ in their human capital production function and can act as a signal to the market. Whether black students choose more or less difficult majors than similar white students, and whether they receive a higher or lower return to major difficulty, depends on the extent to which employers statistically discriminate. We find strong evidence that statistical discrimination influences major choice using administrative data from several large universities and two nationally representative surveys.

Kommunikation
Mark Fallak
mark.fallak@liser.lu
+352 585-855-526
World of Labour
Olga Nottmeyer
olga.nottmeyer@liser.lu
+352 585-855-501
Netzwerkkoordination
Christina Gathmann
christina.gathmann@liser.lu

Das IZA@LISER-Netzwerk ist eine weltweite Gemeinschaft für exzellente Forschung in der Arbeitsmarktökonomie und angrenzenden Fachgebieten. Nach dem Wechsel von Bonn wird das Netzwerk nun am Luxembourg Institute of Socio-Economic Research (LISER) koordiniert.

Über das IZA@LISER Network
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