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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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    8. 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. Daniel S. Hamermesh & Rachel A. Gordon & Robert Crosnoe, 2019. "O Youth and Beauty: Children’s Looks and Children’s Cognitive Development," NBER Working Papers 26412, National Bureau of Economic Research, Inc.
    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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    Access and download statistics

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