affairs

Data loads lazily. Type data(affairs) 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

affairs function

A data.frame with 601 rows and 19 variables:<ul>
<li>id. identifier</li>
<li>male. =1 if male</li>
<li>age. in years</li>
<li>yrsmarr. years married</li>
<li>kids. =1 if have kids</li>
<li>relig. 5 = very relig., 4 = somewhat, 3 = slightly, 2 = not at all, 1 = anti</li>
<li>educ. years schooling</li>
<li>occup. occupation, reverse Hollingshead scale</li>
<li>ratemarr. 5 = vry hap marr, 4 = hap than avg, 3 = avg, 2 = smewht unhap, 1 = vry unhap</li>
<li>naffairs. number of affairs within last year</li>
<li>affair. =1 if had at least one affair</li>
<li>vryhap. ratemarr == 5</li>
<li>hapavg. ratemarr == 4</li>
<li>avgmarr. ratemarr == 3</li>
<li>unhap. ratemarr == 2</li>
<li>vryrel. relig == 5</li>
<li>smerel. relig == 4</li>
<li>slghtrel. relig == 3</li>
<li>notrel. relig == 2</li>
</ul>

affairs: affairs

Description

Usage

Arguments

Format

Examples