elem94_95

Data loads lazily. Type data(elem94_95) into the console.

datasets

Economics students new to both econometrics and R may find the
simultaneous introduction to both challenging. In particular, the process of
loading and preparing data before building one's first model can present
challenges. The `wooldridge` data package aims to lighten the task by loading
any data set from the text into the current working environment with a single command.
The package contains documentation for each set and all data has been
compressed to 62.73% of its original size. Just install the package, load it,
and use the `data()` function to call the data set you need to work with.
In addition, a wooldridge-vignette illustrates solutions to examples from
each chapter of the text, offering a relevant introduction to econometric
modelling with R. The vignette also includes an Appendix to helpful resources
about using R for econometrics. Note: Data sets are from the 5th edition
(Wooldridge 2013, ISBN-13:978-1-111-53104-1), and are compatible with others.

Justin Shea

wooldridge

105 Data Sets from "Introductory Econometrics: A Modern
Approach" by Jeffrey M. Wooldridge

elem94_95 function

A data.frame with 1848 rows and 14 variables:<ul>
<li>distid. district identifier</li>
<li>schid. school identifier</li>
<li>lunch. percent eligible, free lunch</li>
<li>enrol. 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>lenrol. log(enrol)</li>
<li>lstaff. log(staff)</li>
</ul>

elem94_95: elem94_95

Description

Usage

Arguments

Format

Examples