Arbeitspapier

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

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.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 9355

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Human Capital; Skills; Occupational Choice; Labor Productivity
Particular Labor Markets: General
Thema
extreme tails
truncated sample
luck

Ereignis
Geistige Schöpfung
(wer)
Hamermesh, Daniel S.
Leigh, Andrew
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Hamermesh, Daniel S.
  • Leigh, Andrew
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2021

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