crime3 | R Documentation |
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
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
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
str(crime3)
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