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Beauty and Productivity: A Meta-Analysis

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  • Kseniya Bortnikova

    (Institute of Economic Studies, Faculty of Social Sciences, Charles University Opletalova 26, 110 00, Prague, Czech Republic)

Abstract

The economics of beauty is now a burgeoning field of research. Not only the magnitude but also the direction of the beauty effect on labor outcomes is a matter of discussion. In this work, I conduct a quantitative synthesis of 418 estimates of the effect of beauty on worker´s productivity, as reported in 37 studies. The estimates are tested for publication selection using informal testing of the funnel plot as well as formal testing methods. The results provide substantial evidence of selective reporting: positive estimates of the beauty effect are preferred in literature. The set of 21 explanatory variables was collected to determine the sources of heterogeneity in the reported estimates. To account for the model uncertainty, I employ the Bayesian and Frequentist model averaging. The results indicate that differences in the reported estimates appear to be driven by choice of study design and sources of real heterogeneity, such as geographical regions and individual characteristics of respondents. The type of occupation and gender of respondents have no impact on the estimates of beauty effect concerning productivity. The average beauty effect is probably much lower than commonly believed based on the available empirical literature.

Suggested Citation

  • Kseniya Bortnikova, 2020. "Beauty and Productivity: A Meta-Analysis," Working Papers IES 2020/18, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2020.
  • Handle: RePEc:fau:wpaper:wp2020_18
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    File URL: https://ies.fsv.cuni.cz/en/veda-vyzkum/working-papers/6257
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    References listed on IDEAS

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    More about this item

    Keywords

    Beauty bias; productivity; discrimination; meta-analysis; publication bias;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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