Crime in North Carolina

Description

a panel of 90 observational units (counties) from 1981 to 1987

Format

A data frame containing :

county

county identifier

year

year from 1981 to 1987

crmrte

crimes committed per person

prbarr

'probability' of arrest

prbconv

'probability' of conviction

prbpris

'probability' of prison sentence

avgsen

average sentence, days

polpc

police per capita

density

people per square mile

taxpc

tax revenue per capita

region

factor. One of 'other', 'west' or 'central'.

smsa

factor. (Also called "urban".) Does the individual reside in a SMSA (standard metropolitan statistical area)?

pctmin

percentage minority in 1980

wcon

weekly wage in construction

wtuc

weekly wage in transportation, utilities, communications

wtrd

weekly wage in wholesale and retail trade

wfir

weekly wage in finance, insurance and real estate

wser

weekly wage in service industry

wmfg

weekly wage in manufacturing

wfed

weekly wage in federal government

wsta

weekly wage in state government

wloc

weekly wage in local government

mix

offence mix: face-to-face/other

pctymle

percentage of young males (between ages 15 to 24)

lcrmrte

log of crimes committed per person

lprbarr

log of 'probability' of arrest

lprbconv

log of 'probability' of conviction

lprbpris

log of 'probability' of prison sentence

lavgsen

log of average sentence, days

lpolpc

log of police per capita

ldensity

log of people per square mile

ltaxpc

log of tax revenue per capita

lpctmin

log of percentage minority in 1980

lwcon

log of weekly wage in construction

lwtuc

log of weekly wage in transportation, utilities, communications

lwtrd

log of weekly wage in wholesale and retail trade

lwfir

log of weekly wage in finance, insurance and real estate

lwser

log of weekly wage in service industry

lwmfg

log of weekly wage in manufacturing

lwfed

log of weekly wage in federal government

lwsta

log of weekly wage in state government

lwloc

log of weekly wage in local government

lmix

log of offence mix: face-to-face/other

lpctymle

log of percentage of young males (between ages 15 to 24)

Details

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.

Source

Journal of Applied Econometrics Data Archive (complements Baltagi (2006)):

http://qed.econ.queensu.ca/jae/2006-v21.4/baltagi/

Online complements to Baltagi (2001):

https://www.wiley.com/legacy/wileychi/baltagi/

Online complements to Baltagi (2013):

https://bcs.wiley.com/he-bcs/Books?action=resource&bcsId=4338&itemId=1118672321&resourceId=13452

See also Journal of Applied Econometrics data archive entry for Baltagi (2006) at http://qed.econ.queensu.ca/jae/2006-v21.4/baltagi/.

References

Cornwell C, Trumbull WN (1994). “Estimating the economic model of crime with panel data.” Review of Economics and Statistics, 76, 360–366.

Baltagi BH (2006). “Estmating an economic model of crime using panel data from North Carolina.” Journal of Applied Econometrics, 21(4).

Baltagi BH (2001). Econometric Analysis of Panel Data, 3rd edition. John Wiley and Sons ltd.

Baltagi BH (2013). Econometric Analysis of Panel Data, 5th edition. John Wiley and Sons ltd.