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Gender, ethnicity and teaching evaluations: Evidence from mixed teaching teamsAuthor-Name: Wagner, Natascha

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  • Rieger, Matthias
  • Voorvelt, Katherine

Abstract

This paper studies the effect of teacher gender and ethnicity on student evaluations of teaching at university. We analyze a unique data-set featuring mixed teaching teams and a diverse, multicultural, multi-ethnic group of students and teachers. Blended co-teaching allows us to study the link between student evaluations of teaching and teacher gender as well as ethnicity exploiting within course variation in a panel data model with course-year fixed effects. We document a negative effect of being a female teacher on student evaluations of teaching, which amounts to roughly one fourth of the sample standard deviation of teaching scores. Overall women are 11 percentage points less likely to attain the teaching evaluation cut-off for promotion to associate professor compared to men. The effect is robust to a host of co-variates such as course leadership, teacher experience and research quality, as well as an alternative teacher fixed effect specification. There is no evidence of a corresponding ethnicity effect. Our results are suggestive of a gender bias against female teachers and indicate that the use of teaching evaluations in hiring and promotion decisions may put female lectures at a disadvantage.

Suggested Citation

  • Rieger, Matthias & Voorvelt, Katherine, 2016. "Gender, ethnicity and teaching evaluations: Evidence from mixed teaching teamsAuthor-Name: Wagner, Natascha," Economics of Education Review, Elsevier, vol. 54(C), pages 79-94.
  • Handle: RePEc:eee:ecoedu:v:54:y:2016:i:c:p:79-94
    DOI: 10.1016/j.econedurev.2016.06.004
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    1. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    2. Hamermesh, Daniel S. & Parker, Amy, 2005. "Beauty in the classroom: instructors' pulchritude and putative pedagogical productivity," Economics of Education Review, Elsevier, vol. 24(4), pages 369-376, August.
    3. Scott E. Carrell & Marianne E. Page & James E. West, 2010. "Sex and Science: How Professor Gender Perpetuates the Gender Gap," The Quarterly Journal of Economics, Oxford University Press, vol. 125(3), pages 1101-1144.
    4. Braga, Michela & Paccagnella, Marco & Pellizzari, Michele, 2014. "Evaluating students’ evaluations of professors," Economics of Education Review, Elsevier, vol. 41(C), pages 71-88.
    5. Doris Weichselbaumer & Rudolf Winter‐Ebmer, 2005. "A Meta‐Analysis of the International Gender Wage Gap," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 479-511, July.
    6. William E. Becker & William Bosshardt & Michael Watts, 2012. "How Departments of Economics Evaluate Teaching," The Journal of Economic Education, Taylor & Francis Journals, vol. 43(3), pages 325-333, July.
    7. Andreoni, James & Petrie, Ragan, 2008. "Beauty, gender and stereotypes: Evidence from laboratory experiments," Journal of Economic Psychology, Elsevier, vol. 29(1), pages 73-93, February.
    8. Michael A. McPherson, 2006. "Determinants of How Students Evaluate Teachers," The Journal of Economic Education, Taylor & Francis Journals, vol. 37(1), pages 3-20, January.
    9. Martin Davies & Joe Hirschberg & Jenny Lye & Carol Johnston & Ian Mcdonald, 2007. "Systematic Influences On Teaching Evaluations: The Case For Caution," Australian Economic Papers, Wiley Blackwell, vol. 46(1), pages 18-38, March.
    10. Beleche, Trinidad & Fairris, David & Marks, Mindy, 2012. "Do course evaluations truly reflect student learning? Evidence from an objectively graded post-test," Economics of Education Review, Elsevier, vol. 31(5), pages 709-719.
    11. Francine D. Blau & Lawrence M. Kahn, 2000. "Gender Differences in Pay," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 75-99, Fall.
    12. Günther G. Schulze & Björn Frank, 2003. "Deterrence versus intrinsic motivation: Experimental evidence on the determinants of corruptibility," Economics of Governance, Springer, vol. 4(2), pages 143-160, August.
    13. Langbein, Laura, 2008. "Management by results: Student evaluation of faculty teaching and the mis-measurement of performance," Economics of Education Review, Elsevier, vol. 27(4), pages 417-428, August.
    14. Krautmann, Anthony C. & Sander, William, 1999. "Grades and student evaluations of teachers," Economics of Education Review, Elsevier, vol. 18(1), pages 59-63, February.
    15. Paul Isely & Harinder Singh, 2005. "Do Higher Grades Lead to Favorable Student Evaluations?," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(1), pages 29-42, January.
    16. Lusher, Lester & Campbell, Doug & Carrell, Scott, 2018. "TAs like me: Racial interactions between graduate teaching assistants and undergraduates," Journal of Public Economics, Elsevier, vol. 159(C), pages 203-224.
    17. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    18. Sproule, Robert, 2002. "The underdetermination of instructor performance by data from the student evaluation of teaching," Economics of Education Review, Elsevier, vol. 21(3), pages 287-294, June.
    19. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    20. Ewing, Andrew M., 2012. "Estimating the impact of relative expected grade on student evaluations of teachers," Economics of Education Review, Elsevier, vol. 31(1), pages 141-154.
    21. Vivi Alatas & Lisa Cameron & Ananish Chaudhuri & Nisvan Erkal & Lata Gangadharan, 2009. "Gender, Culture, and Corruption: Insights from an Experimental Analysis," Southern Economic Journal, Southern Economic Association, vol. 75(3), pages 663-680, January.
    22. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    23. Björn Frank & Johann Graf Lambsdorff & Frédéric Boehm, 2011. "Gender and Corruption: Lessons from Laboratory Corruption Experiments," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 23(1), pages 59-71, February.
    24. Bruce A. Weinberg & Masanori Hashimoto & Belton M. Fleisher, 2009. "Evaluating Teaching in Higher Education," The Journal of Economic Education, Taylor & Francis Journals, vol. 40(3), pages 227-261, July.
    25. Sarah E. Turner & William G. Bowen, 1999. "Choice of Major: The Changing (Unchanging) Gender Gap," ILR Review, Cornell University, ILR School, vol. 52(2), pages 289-313, January.
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    3. Robert L. Moore & Hanna Song & James D. Whitney, 2021. "Do Students Discriminate? Exploring Differentials by Race and Sex in Class Enrollments and Student Ratings of Instructors," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(1), pages 135-162, January.

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    More about this item

    Keywords

    Student evaluations of teaching; Gender; Ethnicity; Bias; Course-year fixed effects;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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