beauty

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.

datasets

Students learning both econometrics and R may find the introduction
to both challenging. The wooldridge data package aims to lighten the task by efficiently
loading any data set found in the text with a single command. Data sets have been
compressed to a fraction of their original size. Documentation files contain page numbers,
the original source, time of publication, and notes from the author suggesting avenues for
further analysis and research. If one needs an introduction to R model syntax, a
vignette contains solutions to examples from chapters of the text.
Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0),
and are backwards compatible with all previous versions of the text.

Justin Shea

wooldridge

115 Data Sets from "Introductory Econometrics: A Modern
Approach, 7e" by Jeffrey M. Wooldridge

Justin M. Shea

Kennth H. Brown

beauty function

A data.frame with 1260 observations on 17 variables:<ul>
<li>wage: hourly wage</li>
<li>lwage: log(wage)</li>
<li>belavg: =1 if looks &lt;= 2</li>
<li>abvavg: =1 if looks &gt;=4</li>
<li>exper: years of workforce experience</li>
<li>looks: from 1 to 5</li>
<li>union: =1 if union member</li>
<li>goodhlth: =1 if good health</li>
<li>black: =1 if black</li>
<li>female: =1 if female</li>
<li>married: =1 if married</li>
<li>south: =1 if live in south</li>
<li>bigcity: =1 if live in big city</li>
<li>smllcity: =1 if live in small city</li>
<li>service: =1 if service industry</li>
<li>expersq: exper^2</li>
<li>educ: years of schooling</li>
</ul>

beauty: beauty

Description

Usage

Arguments

Format

Used in Text

Examples