jtrain

Data loads lazily. Type data(jtrain) 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

jtrain function

A data.frame with 471 rows and 30 variables:<ul>
<li>year. 1987, 1988, or 1989</li>
<li>fcode. firm code number</li>
<li>employ. # employees at plant</li>
<li>sales. annual sales, $</li>
<li>avgsal. average employee salary</li>
<li>scrap. scrap rate (per 100 items)</li>
<li>rework. rework rate (per 100 items)</li>
<li>tothrs. total hours training</li>
<li>union. =1 if unionized</li>
<li>grant. = 1 if received grant</li>
<li>d89. = 1 if year = 1989</li>
<li>d88. = 1 if year = 1988</li>
<li>totrain. total employees trained</li>
<li>hrsemp. tothrs/totrain</li>
<li>lscrap. log(scrap)</li>
<li>lemploy. log(employ)</li>
<li>lsales. log(sales)</li>
<li>lrework. log(rework)</li>
<li>lhrsemp. log(1 + hrsemp)</li>
<li>lscrap_1. lagged lscrap; missing 1987</li>
<li>grant_1. lagged grant; assumed 0 in 1987</li>
<li>clscrap. lscrap - lscrap_1; year &gt; 1987</li>
<li>cgrant. grant - grant_1</li>
<li>clemploy. lemploy - lemploy[_n-1]</li>
<li>clsales. lavgsal - lavgsal[_n-1]</li>
<li>lavgsal. log(avgsal)</li>
<li>clavgsal. lavgsal - lavgsal[_n-1]</li>
<li>cgrant_1. cgrant[_n-1]</li>
<li>chrsemp. hrsemp - hrsemp[_n-1]</li>
<li>clhrsemp. lhrsemp - lhrsemp[_n-1]</li>
</ul>

jtrain: jtrain

Description

Usage

Arguments

Format

Examples