| countymurders | R Documentation |
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.
data('countymurders')
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
pages 16, 58, 431, 457
http://www.cengage.com/c/introductory-econometrics-a-modern-approach-6e-wooldridge
str(countymurders)