benefits

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

benefits function

A data.frame with 1848 observations on 18 variables:<ul>
<li>distid: district identifier</li>
<li>schid: school identifier</li>
<li>lunch: percent eligible, free lunch</li>
<li>enroll: school enrollment</li>
<li>staff: staff per 1000 students</li>
<li>exppp: expenditures per pupil</li>
<li>avgsal: average teacher salary, $</li>
<li>avgben: average teacher non-salary benefits, $</li>
<li>math4: percent passing 4th grade math test</li>
<li>story4: percent passing 4th grade reading test</li>
<li>bs: avgben/avgsal</li>
<li>lavgsal: log(avgsal)</li>
<li>lenroll: log(enroll)</li>
<li>lstaff: log(staff)</li>
<li>bsbar: within-district avg of bs</li>
<li>lunchbar: within-district avg of lunch</li>
<li>lenrollbar: within-district avg of lenroll</li>
<li>lstaffbar: within-district avg of lstaff</li>
</ul>

Format

benefits — benefits

benefits: benefits

Description

Usage

Arguments

Format

Examples