On this R-data statistics page, you will find information about the Crime data set which pertains to Crime in North Carolina . The Crime data set is found in the Ecdat R package. You can load the Crime data set in R by issuing the following command at the console data("Crime"). This will load the data into a variable called Crime. If R says the Crime data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Crime R data set. The size of this file is about 119,122 bytes.
Crime in North Carolina
a panel of 90 observations from 1981 to 1987
number of observations : 630
observation : regional
country : United States
A dataframe containing :
year from 1981 to 1987
crimes committed per person
'probability' of arrest
'probability' of conviction
'probability' of prison sentence
average sentence, days
police per capita
people per square mile
tax revenue per capita
one of 'other', 'west' or 'central'
'yes' or 'no' if in SMSA
percentage minority in 1980
weekly wage in construction
weekly wage in trns, util, commun
weekly wage in whole sales and retail trade
weekly wage in finance, insurance and real estate
weekly wage in service industry
weekly wage in manufacturing
weekly wage of federal employees
weekly wage of state employees
weekly wage of local governments employees
offence mix: face-to-face/other
percentage of young males
Cornwell, C. and W.N. Trumbull (1994) “Estimating the economic model of crime with panel data”, Review of Economics and Statistics, 76, 360–366.
Baltagi, B. H. (forthcoming) “Estimating an economic model of crime using panel data from North Carolina”, Journal of Applied Econometrics, .
Baltagi, Badi H. (2003) Econometric analysis of panel data, John Wiley and sons, http://www.wiley.com/legacy/wileychi/baltagi/, .
Journal of Applied Econometrics data archive : http://qed.econ.queensu.ca/jae/.
Dataset imported from https://www.r-project.org.