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beauty

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

Examples

str(beauty)

wooldridge

111 Data Sets from "Introductory Econometrics: A Modern Approach, 6e" by Jeffrey M. Wooldridge

v1.3.1
GPL-3
Authors
Justin M. Shea [aut, cre], Kennth H. Brown [ctb]
Initial release

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