crime1

Data loads lazily. Type data(crime1) 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

crime1 function

A data.frame with 2725 rows and 16 variables:<ul>
<li>narr86. # times arrested, 1986</li>
<li>nfarr86. # felony arrests, 1986</li>
<li>nparr86. # property crme arr., 1986</li>
<li>pcnv. proportion of prior convictions</li>
<li>avgsen. avg sentence length, mos.</li>
<li>tottime. time in prison since 18 (mos.)</li>
<li>ptime86. mos. in prison during 1986</li>
<li>qemp86. # quarters employed, 1986</li>
<li>inc86. legal income, 1986, $100s</li>
<li>durat. recent unemp duration</li>
<li>black. =1 if black</li>
<li>hispan. =1 if Hispanic</li>
<li>born60. =1 if born in 1960</li>
<li>pcnvsq. pcnv^2</li>
<li>pt86sq. ptime86^2</li>
<li>inc86sq. inc86^2</li>
</ul>

crime1: crime1

Description

Usage

Arguments

Format

Examples