| beauty | R Documentation |
Wooldridge Source: Hamermesh, D.S. and J.E. Biddle (1994), “Beauty and the Labor Market,” American Economic Review 84, 1174-1194. Professor Hamermesh kindly provided me with the data. For manageability, I have included only a subset of the variables, which results in somewhat larger sample sizes than reported for the regressions in the Hamermesh and Biddle paper. Data loads lazily.
data('beauty')
A data.frame with 1260 observations on 17 variables:
wage: hourly wage
lwage: log(wage)
belavg: =1 if looks <= 2
abvavg: =1 if looks >=4
exper: years of workforce experience
looks: from 1 to 5
union: =1 if union member
goodhlth: =1 if good health
black: =1 if black
female: =1 if female
married: =1 if married
south: =1 if live in south
bigcity: =1 if live in big city
smllcity: =1 if live in small city
service: =1 if service industry
expersq: exper^2
educ: years of schooling
pages 238-239, 265-266
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
str(beauty)