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Appearance Discrimination in Grading? − Evidence from Migrant Schools in China

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  • Chen, Qihui
  • Wang, Xiaobing
  • Zhao, Qiran

Abstract

Using appearance scores created by facial-recognition and machine-learning programs that incorporate tens of thousands of individuals’ appearance preferences, we find in China’s migrant schools that students’ appearance has a statistically significant and positive effect on their teachers’ evaluation of their exam performance, even after netting out the influences of important confounders such as physical growth, cognitive ability, mental health status, family background, and school quality.

Suggested Citation

  • Chen, Qihui & Wang, Xiaobing & Zhao, Qiran, 2019. "Appearance Discrimination in Grading? − Evidence from Migrant Schools in China," Economics Letters, Elsevier, vol. 181(C), pages 116-119.
    • Handle: RePEc:eee:ecolet:v:181:y:2019:i:c:p:116-119
    DOI: 10.1016/j.econlet.2019.04.024
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    References listed on IDEAS

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    1. Xiaobing Wang & Renfu Luo & Linxiu Zhang & Scott Rozelle, 2017. "The Education Gap of China’s Migrant Children and Rural Counterparts," Journal of Development Studies, Taylor & Francis Journals, vol. 53(11), pages 1865-1881, November.
    2. Harper, Barry, 2000. "Beauty, Stature and the Labour Market: A British Cohort Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(0), pages 771-800, Special I.
    3. Joseph P. Romano & Michael Wolf, 2005. "Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 94-108, March.
    4. 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.
    5. 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.
    6. Philip K. Robins & Jenny F. Homer & Michael T. French, 2011. "Beauty and the Labor Market: Accounting for the Additional Effects of Personality and Grooming," LABOUR, CEIS, vol. 25(2), pages 228-251, June.
    7. Romano, Joseph P. & Wolf, Michael, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 38-40.
    8. Chen, Yuanyuan & Feng, Shuaizhang, 2013. "Access to public schools and the education of migrant children in China," China Economic Review, Elsevier, vol. 26(C), pages 75-88.
    9. Biddle, Jeff E & Hamermesh, Daniel S, 1998. "Beauty, Productivity, and Discrimination: Lawyers' Looks and Lucre," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 172-201, January.
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    Cited by:

    1. Yuhe Guo & Qihui Chen & Shengying Zhai & Chunchen Pei, 2020. "Does private tutoring improve student learning in China? Evidence from the China Education Panel Survey," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 7(3), pages 322-343, September.
    2. Hamermesh, Daniel S. & Gordon, Rachel A. & Crosnoe, Robert, 2019. "'O Youth and Beauty:' Children's Looks and Children's Cognitive Development," IZA Discussion Papers 12708, Institute of Labor Economics (IZA).
    3. Ling, Leng & Luo, Danglun & Li, Xiaoxia & Pan, Xintong, 2022. "Looking good by doing good: CEO attractiveness and corporate philanthropy11We thank the co-editor (Suqin Ge) and the referees for many valuable comments and suggestions. We thank Huimin Li and Jing Sh," China Economic Review, Elsevier, vol. 76(C).
    4. Peng, Langchuan & Wang, Xi & Ying, Shanshan, 2020. "The heterogeneity of beauty premium in China: Evidence from CFPS," Economic Modelling, Elsevier, vol. 90(C), pages 386-396.

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    More about this item

    Keywords

    Discrimination; Appearance; Education; Migrant children; China;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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