IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/29361.html

“Beauty Too Rich for Use”*: Billionaires’ Assets and Attractiveness

Author

Listed:
  • Daniel S. Hamermesh
  • Andrew Leigh

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

  • Daniel S. Hamermesh & Andrew Leigh, 2021. "“Beauty Too Rich for Use”*: Billionaires’ Assets and Attractiveness," NBER Working Papers 29361, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:29361
    Note: LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w29361.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Eugene Pinsky & Weiqi Zhang & Zibo Wang, 2025. "Pareto Distribution of the Forbes Billionaires," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 809-834, July.
    3. Lohmann, Paul M. & Gsottbauer, Elisabeth & You, Jing & Kontoleon, Andreas, 2023. "Anti-social behaviour and economic decision-making: Panel experimental evidence in the wake of COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 136-171.
    4. 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.

    More about this item

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:29361. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.