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Gender Bias in Teaching Evaluations

Bibliographic Data

ID23320176
AuthorsFriederike Mengel (0000-0002-7858-9033, University of Essex, corresponding author), Jan Sauermann (0000-0002-0550-0675, Stockholm University, corresponding author), Ulf Zölitz (University of Zurich, corresponding author)
Year2019
Volume17
Issue2
Pages535-566
Publication date2019-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of the European Economic Association (JOURNAL)
Journal identifiersISSN: 1542-4766 • E-ISSN: 1542-4774
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/jeea/jvx057
OpenAlexW2760240588
LanguageEN
Citations received118
References cited42

This paper provides new evidence on gender bias in teaching evaluations. We exploit a quasi-experimental dataset of 19,952 student evaluations of university faculty in a context where students are randomly allocated to female or male instructors. Despite the fact that neither students’ grades nor self-study hours are affected by the instructor’s gender, we find that women receive systematically lower teaching evaluations than their male colleagues. This bias is driven by male students’ evaluations, is larger for mathematical courses, and particularly pronounced for junior women. The gender bias in teaching evaluations we document may have direct as well as indirect effects on the career progression of women by affecting junior women’s confidence and through the reallocation of instructor resources away from research and toward teaching. (JEL: J16, J71, I23, J45)

Context (archaeology) · Exploit · Gender bias · Mathematics education · Medical education · Computer Science · Gender Diversity and Inequality · Innovations in Educational Methods · Medicine · Psychology · School Choice and Performance · Social Psychology

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Unique citing works118
Citations per year16,86
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 115

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