| prison | R Documentation |
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.
data('prison')
A data.frame with 714 observations on 45 variables:
state: alphabetical; DC = 9
year: 80 to 93
govelec: =1 if gubernatorial election
black: proportion black
metro: proportion in metro. areas
unem: proportion unemployed
criv: viol. crimes per 100,000
crip: prop. crimes per 100,000
lcriv: log(criv)
lcrip: log(crip)
gcriv: lcriv - lcriv_1
gcrip: lcrip - lcrip_1
y81: =1 if year == 81
y82:
y83:
y84:
y85:
y86:
y87:
y88:
y89:
y90:
y91:
y92:
y93:
ag0_14: prop. pop. 0 to 14 yrs
ag15_17: prop. pop. 15 to 17 yrs
ag18_24: prop. pop. 18 to 24 yrs
ag25_34: prop. pop. 25 to 34 yrs
incpc: per capita income, nominal
polpc: police per 100,000 residents
gincpc: log(incpc) - log(incpc_1)
gpolpc: lpolpc - lpolpc_1
cag0_14: change in ag0_14
cag15_17: change in ag15_17
cag18_24: change in ag18_24
cag25_34: change in ag25_34
cunem: change in unem
cblack: change in black
cmetro: change in metro
pris: prison pop. per 100,000
lpris: log(pris)
gpris: lpris - lpris[_n-1]
final1: =1 if fnl dec on litig, curr yr
final2: =1 if dec on litig, prev 2 yrs
pages 573-574
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
str(prison)