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"Beauty Too Rich for Use": Billionaires' Assets and Attractiveness

Author

Listed:
  • Hamermesh, Daniel S.

    (University of Texas at Austin)

  • Leigh, Andrew

    (Parliament of Australia)

Abstract
We examine how the net worth of billionaires relates to their looks, as rated by 16 people of different gender and ethnicity. Surprisingly, their financial assets are unrelated to their beauty; nor are they related to their educational attainment. As a group, however, billionaires are both more educated and better-looking than average for their age. Men, people who reside in Western countries, and those who inherited substantial wealth, are wealthier than other billionaires. The results do not arise from measurement error or nonrandom sample selectivity. They are consistent with econometric theory about the impact of truncating a sample to include observations only from the extreme tail of the dependent variable. The point is underscored by comparing estimates of earnings equations using all employees in the 2018 American Community Survey to those using a sample of the top 0.1 percent. The findings suggest the powerful role of luck within the extremes of the distributions of economic outcomes.

Suggested Citation

  • Hamermesh, Daniel S. & Leigh, Andrew, 2021. ""Beauty Too Rich for Use": Billionaires' Assets and Attractiveness," IZA Discussion Papers 14762, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp14762
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    References listed on IDEAS

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    2. Chan, Ho Fai & Ulrich, Fabian & Altman, Hannah & Schmidt, Sascha L. & Schreyer, Dominik & Torgler, Benno, 2022. "Beyond performance? The importance of subjective and objective physical appearance in award nominations and receptions in football," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 271-289.

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    More about this item

    Keywords

    sample truncation; education; financial wealth;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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