crime1

Wooldridge Source: J. Grogger (1991), “Certainty vs. Severity of Punishment,” Economic Inquiry 29, 297-309. Professor Grogger kindly provided a subset of the data he used in his article. Data loads lazily.

datasets

Students learning both econometrics and R may find the introduction
to both challenging. The wooldridge data package aims to lighten the task by efficiently
loading any data set found in the text with a single command. Data sets have been
compressed to a fraction of their original size. Documentation files contain page numbers,
the original source, time of publication, and notes from the author suggesting avenues for
further analysis and research. If one needs an introduction to R model syntax, a
vignette contains solutions to examples from chapters of the text.
Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0),
and are backwards compatible with all previous versions of the text.

Justin Shea

wooldridge

115 Data Sets from "Introductory Econometrics: A Modern
Approach, 7e" by Jeffrey M. Wooldridge

Justin M. Shea

Kennth H. Brown

crime1 function

A data.frame with 2725 observations on 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>

Format

pages 82-83, 173-174, 180, 252-253, 275, 299, 305-306, 607-608, 625

crime1: crime1

Description

Usage

Arguments

Format

Used in Text

Examples