beauty

Description

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.

Usage

data('beauty')

Format

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

Used in Text

pages 238-239, 265-266

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Examples

 str(beauty)