Gender Bias in Teaching Evaluations
Jan Sauermann () and
No 11000, IZA Discussion Papers from Institute of Labor Economics (IZA)
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 towards teaching.
Keywords: female faculty; teaching evaluations; gender bias (search for similar items in EconPapers)
JEL-codes: J16 J71 I23 J45 (search for similar items in EconPapers)
Pages: 64 pages
New Economics Papers: this item is included in nep-gen and nep-lma
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Published in: Journal of the European Economic Association , 2019, 17 (2), 535-566
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Journal Article: Gender Bias in Teaching Evaluations (2019)
Working Paper: Gender Bias in Teaching Evaluations (2018)
Working Paper: Gender Bias in Teaching Evaluations (2017)
Working Paper: Gender bias in teaching evaluations (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp11000
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