Wooldridge Source: E. Eide (1994), Economics of Crime: Deterrence of the Rational Offender. Amsterdam: North Holland. The data come from Tables A3 and A6. Data loads lazily.
data('crime3')A data.frame with 106 observations on 12 variables:
district: district number
year: 72 or 78
crime: crimes per 1000 people
clrprc1: clear-up perc, prior year
clrprc2: clear-up perc, two-years prior
d78: =1 if year = 78
avgclr: (clrprc1 + clrprc2)/2
lcrime: log(crime)
clcrime: change in lcrime
cavgclr: change in avgclr
cclrprc1: change in clrprc1
cclrprc2: change in clrprc2
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These data are for the years 1972 and 1978 for 53 police districts in Norway. Much larger data sets for more years can be obtained for the United States, although a measure of the “clear-up” rate is needed.
Used in Text: pages 464-465, 477-478
str(crime3)
#> 'data.frame': 106 obs. of 12 variables:
#> $ district: int 1 1 2 2 3 3 4 4 5 5 ...
#> $ year : int 72 78 72 78 72 78 72 78 72 78 ...
#> $ crime : num 49.5 71.3 14.8 17.9 17.4 ...
#> $ clrprc1 : int 22 15 51 39 33 36 41 41 41 32 ...
#> $ clrprc2 : int 23 17 62 40 34 37 43 40 46 33 ...
#> $ d78 : int 0 1 0 1 0 1 0 1 0 1 ...
#> $ avgclr : num 22.5 16 56.5 39.5 33.5 36.5 42 40.5 43.5 32.5 ...
#> $ lcrime : num 3.9 4.27 2.69 2.88 2.85 ...
#> $ clcrime : num NA 0.364 NA 0.189 NA ...
#> $ cavgclr : num NA -6.5 NA -17 NA 3 NA -1.5 NA -11 ...
#> $ cclrprc1: int NA -7 NA -12 NA 3 NA 0 NA -9 ...
#> $ cclrprc2: int NA -6 NA -22 NA 3 NA -3 NA -13 ...
#> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"