jtrain3

Data loads lazily. Type data(jtrain3) 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

jtrain3 function

A data.frame with 2675 rows and 20 variables:<ul>
<li>train. =1 if in job training</li>
<li>age. in years, 1977</li>
<li>educ. years of schooling</li>
<li>black. =1 if black</li>
<li>hisp. =1 if Hispanic</li>
<li>married. =1 if married</li>
<li>re74. '74 earnings, $1000s '82</li>
<li>re75. '75 earnings, $1000s '82</li>
<li>unem75. =1 if unem. all of '75</li>
<li>unem74. =1 if unem. all of '74</li>
<li>re78. '78 earnings, $1000s '82</li>
<li>agesq. age^2</li>
<li>trre74. train*re74</li>
<li>trre75. train*re75</li>
<li>trun74. train*unem74</li>
<li>trun75. train*unem75</li>
<li>avgre. (re74 + re75)/2</li>
<li>travgre. train*avgre</li>
<li>unem78. =1 if unem. all of '78</li>
<li>em78. 1 - unem78</li>
</ul>

jtrain3: jtrain3

Description

Usage

Arguments

Format

Examples