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Student beauty and grades under in-person and remote teaching

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  • Mehic, Adrian

Abstract

This paper examines the role of student facial attractiveness on academic outcomes under various forms of instruction, using data from engineering students in Sweden. When education is in-person, attractive students receive higher grades in non-quantitative subjects, in which teachers tend to interact more with students compared to quantitative courses. This finding holds both for males and females. When instruction moved online during the COVID-19 pandemic, the grades of attractive female students deteriorated in non-quantitative subjects. However, the beauty premium persisted for males, suggesting that discrimination is a salient factor in explaining the grade beauty premium for females only.

Suggested Citation

  • Mehic, Adrian, 2022. "Student beauty and grades under in-person and remote teaching," Economics Letters, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:ecolet:v:219:y:2022:i:c:s016517652200283x
    DOI: 10.1016/j.econlet.2022.110782
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    References listed on IDEAS

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    1. Giam Pietro Cipriani & Angelo Zago, 2011. "Productivity or Discrimination? Beauty and the Exams," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 428-447, June.
    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. Ralph Stinebrickner & Todd Stinebrickner & Paul Sullivan, 2019. "Beauty, Job Tasks, and Wages: A New Conclusion about Employer Taste-Based Discrimination," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 602-615, October.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Hamermesh, Daniel S & Biddle, Jeff E, 1994. "Beauty and the Labor Market," American Economic Review, American Economic Association, vol. 84(5), pages 1174-1194, December.
    6. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    7. John Karl Scholz & Kamil Sicinski, 2015. "Facial Attractiveness and Lifetime Earnings: Evidence from a Cohort Study," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 14-28, March.
    8. Rey Hernández-Julián & Christina Peters, 2017. "Student Appearance and Academic Performance," Journal of Human Capital, University of Chicago Press, vol. 11(2), pages 247-262.
    9. Sule Alan & Teodora Boneva & Seda Ertac, 2019. "Ever Failed, Try Again, Succeed Better: Results from a Randomized Educational Intervention on Grit," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1121-1162.
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    More about this item

    Keywords

    Attractiveness; Beauty; COVID-19; Discrimination;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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