a panel of 90 observational units (counties) from 1981 to 1987
A data frame containing :
county identifier
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
factor. One of 'other', 'west' or 'central'.
factor. (Also called "urban".) Does the individual reside in a SMSA (standard metropolitan statistical area)?
percentage minority in 1980
weekly wage in construction
weekly wage in transportation, utilities, communications
weekly wage in wholesale and retail trade
weekly wage in finance, insurance and real estate
weekly wage in service industry
weekly wage in manufacturing
weekly wage in federal government
weekly wage in state government
weekly wage in local government
offence mix: face-to-face/other
percentage of young males (between ages 15 to 24)
log of crimes committed per person
log of 'probability' of arrest
log of 'probability' of conviction
log of 'probability' of prison sentence
log of average sentence, days
log of police per capita
log of people per square mile
log of tax revenue per capita
log of percentage minority in 1980
log of weekly wage in construction
log of weekly wage in transportation, utilities, communications
log of weekly wage in wholesale and retail trade
log of weekly wage in finance, insurance and real estate
log of weekly wage in service industry
log of weekly wage in manufacturing
log of weekly wage in federal government
log of weekly wage in state government
log of weekly wage in local government
log of offence mix: face-to-face/other
log of percentage of young males (between ages 15 to 24)
total number of observations : 630
observation : regional
country : United States
The variables l* (lcrmrte, lprbarr, ...) contain the pre-computed logarithms of the base variables as found in the original data set. Note that these values slightly differ from what R's log() function yields for the base variables. In order to reproduce examples from the literature, the pre-computed logs need to be used, otherwise the results differ slightly.
CORN:TRUM:94plm
BALT:06plm
BALT:01plm
BALT:13plm