crime3 | R Documentation |
crime3
Description
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.
Usage
data('crime3')
Format
A data.frame with 106 observations on 12 variables:
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district: district number
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year: 72 or 78
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crime: crimes per 1000 people
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clrprc1: clear-up perc, prior year
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clrprc2: clear-up perc, two-years prior
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d78: =1 if year = 78
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avgclr: (clrprc1 + clrprc2)/2
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lcrime: log(crime)
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clcrime: change in lcrime
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cavgclr: change in avgclr
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cclrprc1: change in clrprc1
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cclrprc2: change in clrprc2
Notes
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
Source
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
Examples
str(crime3)