prison | R Documentation |
prison
Description
Wooldridge Source: S.D. Levitt (1996), “The Effect of Prison Population Size on Crime Rates: Evidence from Prison Overcrowding Legislation,” Quarterly Journal of Economics 111, 319-351. Professor Levitt kindly provided me with the data, of which I used a subset. Data loads lazily.
Usage
data('prison')
Format
A data.frame with 714 observations on 45 variables:
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state: alphabetical; DC = 9
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year: 80 to 93
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govelec: =1 if gubernatorial election
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black: proportion black
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metro: proportion in metro. areas
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unem: proportion unemployed
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criv: viol. crimes per 100,000
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crip: prop. crimes per 100,000
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lcriv: log(criv)
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lcrip: log(crip)
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gcriv: lcriv - lcriv_1
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gcrip: lcrip - lcrip_1
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y81: =1 if year == 81
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y82:
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y83:
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y84:
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y85:
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y86:
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y87:
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y88:
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y89:
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y90:
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y91:
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y92:
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y93:
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ag0_14: prop. pop. 0 to 14 yrs
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ag15_17: prop. pop. 15 to 17 yrs
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ag18_24: prop. pop. 18 to 24 yrs
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ag25_34: prop. pop. 25 to 34 yrs
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incpc: per capita income, nominal
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polpc: police per 100,000 residents
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gincpc: log(incpc) - log(incpc_1)
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gpolpc: lpolpc - lpolpc_1
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cag0_14: change in ag0_14
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cag15_17: change in ag15_17
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cag18_24: change in ag18_24
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cag25_34: change in ag25_34
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cunem: change in unem
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cblack: change in black
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cmetro: change in metro
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pris: prison pop. per 100,000
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lpris: log(pris)
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gpris: lpris - lpris[_n-1]
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final1: =1 if fnl dec on litig, curr yr
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final2: =1 if dec on litig, prev 2 yrs
Used in Text
pages 573-574
Source
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
Examples
str(prison)