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Beauty and Professional Success: A Meta-Analysis

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  • Bortnikova, Kseniya
  • Havranek, Tomas
  • Irsova, Zuzana

Abstract

Common wisdom suggests that beauty helps in the labor market. We show that two factors combine to explain away the mean beauty premium reported in the literature. First, correcting for publication bias reduces the premium by at least a third. Second, controlling for cognitive ability negates the premium for all occupations except sex workers, a point further underscored by the similarity of the beauty effect on earnings and productivity. The second factor implies a positive link, perhaps genetic, between beauty and intelligence. We find little evidence of substantial attenuation bias that could offset publication and omitted-variable biases. The empirical literature is inconsistent with discrimination based solely on tastes for beauty. To obtain these results we collect 1,159 estimates of the effect of beauty on earnings or productivity reported in 67 studies and codify 33 aspects that reflect estimation context, including the potential intensity of attenuation bias. We employ recently developed techniques to account for publication bias and model uncertainty.

Suggested Citation

  • Bortnikova, Kseniya & Havranek, Tomas & Irsova, Zuzana, 2024. "Beauty and Professional Success: A Meta-Analysis," EconStor Preprints 289435, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:289435
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    References listed on IDEAS

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    1. Berggren, Niclas & Jordahl, Henrik & Poutvaara, Panu, 2010. "The looks of a winner: Beauty and electoral success," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 8-15, February.
    2. David Card & Jochen Kluve & Andrea Weber, 2018. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 894-931.
    3. Berri, David J. & Simmons, Rob & Van Gilder, Jennifer & O'Neill, Lisle, 2011. "What does it mean to find the face of the franchise? Physical attractiveness and the evaluation of athletic performance," Economics Letters, Elsevier, vol. 111(3), pages 200-202, June.
    4. Theo S. Eicher & Chris Papageorgiou & Adrian E. Raftery, 2011. "Default priors and predictive performance in Bayesian model averaging, with application to growth determinants," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 30-55, January/F.
    5. Ahmed, Shaker & Ranta, Mikko & Vähämaa, Emilia & Vähämaa, Sami, 2023. "Facial attractiveness and CEO compensation: Evidence from the banking industry," Journal of Economics and Business, Elsevier, vol. 123(C).
    6. Linn-Brit Bakkenbüll & Stephanie Kiefer, 2015. "Are Attractive Female Tennis Players More Successful? An Empirical Analysis," Kyklos, Wiley Blackwell, vol. 68(4), pages 443-458, November.
    7. Seung Chan Ahn & Young Hoon Lee, 2014. "Beauty And Productivity: The Case Of The Ladies Professional Golf Association," Contemporary Economic Policy, Western Economic Association International, vol. 32(1), pages 155-168, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Beauty premium; productivity; meta-analysis; model uncertainty; publication bias; p-hacking;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • 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

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