fringe

Data loads lazily. Type data(fringe) 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

fringe function

A data.frame with 616 rows and 39 variables:<ul>
<li>annearn. annual earnings, $</li>
<li>hrearn. hourly earnings, $</li>
<li>exper. years work experience</li>
<li>age. age in years</li>
<li>depends. number of dependents</li>
<li>married. =1 if married</li>
<li>tenure. years with current employer</li>
<li>educ. years schooling</li>
<li>nrtheast. =1 if live in northeast</li>
<li>nrthcen. =1 if live in north central</li>
<li>south. =1 if live in south</li>
<li>male. =1 if male</li>
<li>white. =1 if white</li>
<li>union. =1 if union member</li>
<li>office.</li>
<li>annhrs. annual hours worked</li>
<li>ind1. industry dummy</li>
<li>ind2.</li>
<li>ind3.</li>
<li>ind4.</li>
<li>ind5.</li>
<li>ind6.</li>
<li>ind7.</li>
<li>ind8.</li>
<li>ind9.</li>
<li>vacdays. $ value of vac. days</li>
<li>sicklve. $ value of sick leave</li>
<li>insur. $ value of employee insur</li>
<li>pension. $ value of employee pension</li>
<li>annbens. vacdays+sicklve+insur+pension</li>
<li>hrbens. hourly benefits, $</li>
<li>annhrssq. annhrs^2</li>
<li>beratio. annbens/annearn</li>
<li>lannhrs. log(annhrs)</li>
<li>tenuresq. tenure^2</li>
<li>expersq. exper^2</li>
<li>lannearn. log(annearn)</li>
<li>peratio. pension/annearn</li>
<li>vserat. (vacdays+sicklve)/annearn</li>
</ul>

fringe: fringe

Description

Usage

Arguments

Format

Examples