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The heterogeneity of beauty premium in China: Evidence from CFPS

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  • Peng, Langchuan
  • Wang, Xi
  • Ying, Shanshan

Abstract

Using a nationwide representative sample of the Chinese population, we examine the effect of physical appearance on the hourly wage. Our theoretical framework that connects physical appearance and the hourly wage has two predictions. First, the beauty premium is larger for high-skilled workers than for low-skilled workers. Second, this statistical-based discrimination arises from the hiring manager’s belief that beauty contributes to productivity through non-cognitive skills. Empirical results confirm both predictions. Good-looking individuals earn roughly 5.4% more than the rest, and bad-looking individuals earn roughly 3.3% less than the rest. Moreover, quantile estimates show that the effect of physical appearance at the 0.75 quantile is more than twice as the one at the 0.25 quantile. Finally, social skills, communication skills, and self-confidence are three transmission channels through which physical appearance can positively affect one’s hourly wage in our sample. Our findings imply that the beauty premium is widespread in the labor market and relevant anti-discrimination regulations are needed.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecmode:v:90:y:2020:i:c:p:386-396
    DOI: 10.1016/j.econmod.2019.12.014
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    More about this item

    Keywords

    Beauty; Discrimination; Hourly wage; Heterogeneity; Transmission channel;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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