wage2

Data loads lazily. Type data(wage2) 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

wage2 function

A data.frame with 935 rows and 17 variables:<ul>
<li>wage. monthly earnings</li>
<li>hours. average weekly hours</li>
<li>IQ. IQ score</li>
<li>KWW. knowledge of world work score</li>
<li>educ. years of education</li>
<li>exper. years of work experience</li>
<li>tenure. years with current employer</li>
<li>age. age in years</li>
<li>married. =1 if married</li>
<li>black. =1 if black</li>
<li>south. =1 if live in south</li>
<li>urban. =1 if live in SMSA</li>
<li>sibs. number of siblings</li>
<li>brthord. birth order</li>
<li>meduc. mother's education</li>
<li>feduc. father's education</li>
<li>lwage. natural log of wage</li>
</ul>

wage2: wage2

Description

Usage

Arguments

Format

Examples