countymurders: countymurders

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

countymurders

Description

Wooldridge Source: Compiled by J. Monroe Gamble for a Summer Research Opportunities Program (SROP) at Michigan State University, Summer 2014. Monroe obtained data from the U.S. Census Bureau, the FBI Uniform Crime Reports, and the Death Penalty Information Center. Data loads lazily.

Usage

data('countymurders')

Format

A data.frame with 37349 observations on 20 variables:

• arrests: # of murder arrests

• countyid: county identifier: 1000*statefips + countyfips

• density: population density; per square mile

• popul: county population

• perc1019: percent pop. age 10-19

• perc2029: percent pop. age 20-29

• percblack: percent population black

• percmale: percent population male

• rpcincmaint: real per capita income maintenance

• rpcpersinc: real per capita personal income

• rpcunemins: real per capita unem insurance payments

• year: 1980-1996

• murders: # of murders

• murdrate: murders per 10,000 people

• arrestrate: murder arrests per 10,000

• statefips: state FIPS code

• countyfips: county FIPS code

• execs: # of executions

• lpopul: log(popul)

• execrate: executions per 10,000

Used in Text

pages 16, 58, 431, 457

Source

http://www.cengage.com/c/introductory-econometrics-a-modern-approach-6e-wooldridge

Examples

 str(countymurders)

wooldridge documentation built on May 3, 2023, 5:06 p.m.