A panel of 90 observations from 1981 to 1987 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, one of 'other', 'west' or 'central' smsa, 'yes' or 'no' if in SMSA pctmin, percentage minority in 1980 wcon, weekly wage in construction wtuc, weekly wage in trns, util, commun wtrd, weekly wage in whole sales 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 of federal employees wsta, weekly wage of state employees wloc, weekly wage of local governments employees mix, offence mix: face-to-face/other pctymle, percentage of young males
data(df_opt_nccrimes)csv
Cornwell, C. and W.N. Trumbull (1994) “Estimating the economic model of crime with panel data”, Review of Economics and Statistics, 76, 360–366.
data(df_opt_nccrimes)
head(df_opt_nccrimes, 10)
#> X county year crmrte prbarr prbconv prbpris avgsen polpc
#> 1 1 1 81 0.0398849 0.289696 0.402062 0.472222 5.61 0.0017868
#> 2 2 1 82 0.0383449 0.338111 0.433005 0.506993 5.59 0.0017666
#> 3 3 1 83 0.0303048 0.330449 0.525703 0.479705 5.80 0.0018358
#> 4 4 1 84 0.0347259 0.362525 0.604706 0.520104 6.89 0.0018859
#> 5 5 1 85 0.0365730 0.325395 0.578723 0.497059 6.55 0.0019244
#> 6 6 1 86 0.0347524 0.326062 0.512324 0.439863 6.90 0.0018952
#> 7 7 1 87 0.0356036 0.298270 0.527596 0.436170 6.71 0.0018279
#> 8 8 3 81 0.0163921 0.202899 0.869048 0.465753 8.45 0.0005939
#> 9 9 3 82 0.0190651 0.162218 0.772152 0.377049 5.71 0.0007047
#> 10 10 3 83 0.0151492 0.181586 1.028170 0.438356 8.69 0.0006587
#> density taxpc region smsa pctmin wcon wtuc wtrd wfir
#> 1 2.307159 25.69763 central no 20.21870 206.4803 333.6209 182.3330 272.4492
#> 2 2.330254 24.87425 central no 20.21870 212.7542 369.2964 189.5414 300.8788
#> 3 2.341801 26.45144 central no 20.21870 219.7802 1394.8030 196.6395 309.9696
#> 4 2.346420 26.84235 central no 20.21870 223.4238 398.8604 200.5629 350.0863
#> 5 2.364896 28.14034 central no 20.21870 243.7562 358.7830 206.8827 383.0707
#> 6 2.385681 29.74098 central no 20.21870 257.9139 369.5465 218.5165 409.8842
#> 7 2.422633 30.99368 central no 20.21870 281.4259 408.7245 221.2701 453.1722
#> 8 0.976834 14.56088 central no 7.91632 188.7683 292.6422 151.4234 202.4292
#> 9 0.992278 35.64073 central no 7.91632 186.9658 345.7217 156.8826 225.0409
#> 10 1.003861 19.26188 central no 7.91632 193.5983 604.9115 157.1295 248.1390
#> wser wmfg wfed wsta wloc mix pctymle
#> 1 215.7335 229.12 409.37 236.24 231.47 0.0999179 0.0876968
#> 2 231.5767 240.33 419.70 253.88 236.79 0.1030491 0.0863767
#> 3 240.1568 269.70 438.85 250.36 248.58 0.0806787 0.0850909
#> 4 252.4477 281.74 459.17 261.93 264.38 0.0785035 0.0838333
#> 5 261.0861 298.88 490.43 281.44 288.58 0.0932486 0.0823065
#> 6 269.6129 322.65 478.67 286.91 306.70 0.0973228 0.0800806
#> 7 274.1775 334.54 477.58 292.09 311.91 0.0801688 0.0778710
#> 8 191.3742 210.75 381.72 247.38 213.17 0.0561224 0.0870046
#> 9 208.8190 217.77 386.42 374.07 219.18 0.0473118 0.0864722
#> 10 219.0847 236.64 382.65 268.90 223.06 0.0596206 0.0859426