traffic2

Data loads lazily. Type data(traffic2) 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

traffic2 function

A data.frame with 108 rows and 48 variables:<ul>
<li>year. 1981 to 1989</li>
<li>totacc. statewide total accidents</li>
<li>fatacc. statewide fatal accidents</li>
<li>injacc. statewide injury accidents</li>
<li>pdoacc. property damage only accidents</li>
<li>ntotacc. noninterstate total acc.</li>
<li>nfatacc. noninterstate fatal acc.</li>
<li>ninjacc. noninterstate injur acc.</li>
<li>npdoacc. noninterstate property acc.</li>
<li>rtotacc. tot. acc. on rural 65 mph roads</li>
<li>rfatacc. fat. acc. on rural 65 mph roads</li>
<li>rinjacc. inj. acc. on rural 65 mph roads</li>
<li>rpdoacc. prp. acc. on rural 65 mph roads</li>
<li>ushigh. acc. on U.S. highways</li>
<li>cntyrds. acc. on county roads</li>
<li>strtes. acc. on state routes</li>
<li>t. time trend</li>
<li>tsq. t^2</li>
<li>unem. state unemployment rate</li>
<li>spdlaw. =1 after 65 mph in effect</li>
<li>beltlaw. =1 after seatbelt law</li>
<li>wkends. # weekends in month</li>
<li>feb. =1 if month is Feb.</li>
<li>mar.</li>
<li>apr.</li>
<li>may.</li>
<li>jun.</li>
<li>jul.</li>
<li>aug.</li>
<li>sep.</li>
<li>oct.</li>
<li>nov.</li>
<li>dec.</li>
<li>ltotacc. log(totacc)</li>
<li>lfatacc. log(fatacc)</li>
<li>prcfat. 100*(fatacc/totacc)</li>
<li>prcrfat. 100*(rfatacc/rtotacc)</li>
<li>lrtotacc. log(rtotacc)</li>
<li>lrfatacc. log(rfatacc)</li>
<li>lntotacc. log(ntotacc)</li>
<li>lnfatacc. log(nfatacc)</li>
<li>prcnfat. 100*(nfatacc/ntotacc)</li>
<li>lushigh. log(ushigh)</li>
<li>lcntyrds. log(cntyrds)</li>
<li>lstrtes. log(strtes)</li>
<li>spdt. spdlaw*t</li>
<li>beltt. beltlaw*t</li>
<li>prcfat_1. prcfat[_n-1]</li>
</ul>

traffic2: traffic2

Description

Usage

Arguments

Format

Examples