| alcohol | R Documentation |
Wooldridge Source: Terza, J.V. (2002), “Alcohol Abuse and Employment: A Second Look,” Journal of Applied Econometrics 17, 393-404. I obtained these data from the Journal of Applied Econometrics data archive at http://qed.econ.queensu.ca/jae/. Data loads lazily.
data('alcohol')
A data.frame with 9822 observations on 33 variables:
abuse: =1 if abuse alcohol
status: out of workforce = 1; unemployed = 2, employed = 3
unemrate: state unemployment rate
age: age in years
educ: years of schooling
married: =1 if married
famsize: family size
white: =1 if white
exhealth: =1 if in excellent health
vghealth: =1 if in very good health
goodhealth: =1 if in good health
fairhealth: =1 if in fair health
northeast: =1 if live in northeast
midwest: =1 if live in midwest
south: =1 if live in south
centcity: =1 if live in central city of MSA
outercity: =1 if in outer city of MSA
qrt1: =1 if interviewed in first quarter
qrt2: =1 if interviewed in second quarter
qrt3: =1 if interviewed in third quarter
beertax: state excise tax, $ per gallon
cigtax: state cigarette tax, cents per pack
ethanol: state per-capita ethanol consumption
mothalc: =1 if mother an alcoholic
fathalc: =1 if father an alcoholic
livealc: =1 if lived with alcoholic
inwf: =1 if status > 1
employ: =1 if employed
agesq: age^2
beertaxsq: beertax^2
cigtaxsq: cigtax^2
ethanolsq: ethanol^2
educsq: educ^2
page 629
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str(alcohol)