meap93

Data loads lazily. Type data(meap93) 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

meap93 function

A data.frame with 408 rows and 17 variables:<ul>
<li>lnchprg. perc of studs in sch lnch prog</li>
<li>enroll. school enrollment</li>
<li>staff. staff per 1000 students</li>
<li>expend. expend. per stud, $</li>
<li>salary. avg. teacher salary, $</li>
<li>benefits. avg. teacher benefits, $</li>
<li>droprate. school dropout rate, perc</li>
<li>gradrate. school graduation rate, perc</li>
<li>math10. perc studs passing MEAP math</li>
<li>sci11. perc studs passing MEAP science</li>
<li>totcomp. salary + benefits</li>
<li>ltotcomp. log(totcomp)</li>
<li>lexpend. log of expend</li>
<li>lenroll. log(enroll)</li>
<li>lstaff. log(staff)</li>
<li>bensal. benefits/salary</li>
<li>lsalary. log(salary)</li>
</ul>

meap93: meap93

Description

Usage

Arguments

Format

Examples