murder

Wooldridge Source: From the Statistical Abstract of the United States, 1995 (Tables 310 and 357), 1992 (Table 289). The execution data originally come from the U.S. Bureau of Justice Statistics, Capital Punishment Annual. 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

murder function

A data.frame with 153 observations on 13 variables:<ul>
<li>id: state identifier</li>
<li>state: postal code</li>
<li>year: 87, 90, or 93</li>
<li>mrdrte: murders per 100,000 people</li>
<li>exec: total executions, past 3 years</li>
<li>unem: annual unem. rate</li>
<li>d90: =1 if year == 90</li>
<li>d93: =1 if year == 93</li>
<li>cmrdrte: mrdrte - mrdrte[_n-1]</li>
<li>cexec: exec - exec[_n-1]</li>
<li>cunem: unem - unem[_n-1]</li>
<li>cexec_1: cexec[_n-1]</li>
<li>cunem_1: cunem[_n-1]</li>
</ul>

Format

Prosecutors in different counties might pursue the death penalty with different intensities, so it makes sense to collect murder and execution data at the county level. This could be combined with better demographic information at the county level, along with better economic data (say, on wages for various kinds of employment).
Used in Text: pages 480, 505, 548

murder: murder

Description

Usage

Arguments

Format

Notes

Examples