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jobcorps.Rd
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{jobcorps}
\alias{jobcorps}
\title{Data on health and employment outcomes measured as part of the
U.S. Job Corps employment training experiment.}
\format{
A data frame with 10025 observations and 62 variables.
A data frame with 10025 observations and 62 variables.
}
\source{
\doi{10.1002/jae.2341}
\doi{10.1002/jae.2341}
}
\usage{
data(jobcorps)
data(jobcorps)
}
\description{
A dataset to replicate the analysis in Huber (2014).
A dataset to replicate the analysis in Huber (2014).
}
\details{
\itemize{
\item treat. 1 = in program group. 0 = in control group.
\item schobef. "in school 1yr before eligibility"
\item trainyrbef. "training in year before Job Corps"
\item jobeverbef. "ever had a job before Job Corps"
\item jobyrbef. "job in year before job corps"
\item health012. "good or very good health at assignment"
\item health0mis. "general health at assignment missing"
\item pe_prb0. "physical/emotional problems at assignment"
\item pe_prb0mis. "missing - physical/emotional problems at assignment"
\item everalc. "ever abused alcohol before assignment"
\item alc12. "alcohol abuse one yr after assignment"
\item everilldrugs. "ever took illegal drugs before assignment"
\item age_cat. "age at application in years 16-24"
\item edumis. "education missing"
\item eduhigh. "higher education"
\item rwhite. "white"
\item everarr. "ever arrested before Job Corps"
\item hhsize. "household size at assignment"
\item hhsizemis. "household size at assignment missing"
\item hhinc12. "low household income at assignment"
\item hhinc8. "high household income at assignment"
\item fdstamp. "received foodstamps in yr before assignment"
\item welf1. "once on welfare while growing up"
\item welf2. "twice on welfare while growing up"
\item publicass. "public assistance in yr before assignment"
\item emplq. "worked some time 9-12 months after assignment"
\item emplq4full. "worked all the time in 9-12 months after assignment"
\item pemplq4. "proportion of weeks worked 9-12 months after assignment"
\item pemplq4mis. "missing - proportion of weeks worked 9-12 months after assignment"
\item vocq4. "in vocational training 9-12 months after assignment"
\item vocq4mis. "missing - in vocational training 9-12 months after assignment"
\item health1212. "very good or good health 1 yr after assignment"
\item health123. "fair health 1 yr after assignment"
\item pe_prb12. "1=phys/emot probs at 12 mths 0=no prob"
\item pe_prb12mis. "missing - physical/emotional problems 1 yr after assignment"
\item narry1. "number of arrests in year 1"
\item numkidhhf1zero. "no own kids living in household 1 yr after assignment"
\item numkidhhf1onetwo. "one or two own kids living in household 1 yr after assignment"
\item pubhse12. "1=in public housing 1 yr after assignment, 0=not in"
\item h_ins12a. "afdc and other transfers one yr after assignment"
\item h_ins12amis. "missing - afdc and other transfers one yr after assignment"
\item ... other variables as annotated in the source.
}
\itemize{
\item treat. 1 = in program group. 0 = in control group.
\item schobef. "in school 1yr before eligibility"
\item trainyrbef. "training in year before Job Corps"
\item jobeverbef. "ever had a job before Job Corps"
\item jobyrbef. "job in year before job corps"
\item health012. "good or very good health at assignment"
\item health0mis. "general health at assignment missing"
\item pe_prb0. "physical/emotional problems at assignment"
\item pe_prb0mis. "missing - physical/emotional problems at assignment"
\item everalc. "ever abused alcohol before assignment"
\item alc12. "alcohol abuse one yr after assignment"
\item everilldrugs. "ever took illegal drugs before assignment"
\item age_cat. "age at application in years 16-24"
\item edumis. "education missing"
\item eduhigh. "higher education"
\item rwhite. "white"
\item everarr. "ever arrested before Job Corps"
\item hhsize. "household size at assignment"
\item hhsizemis. "household size at assignment missing"
\item hhinc12. "low household income at assignment"
\item hhinc8. "high household income at assignment"
\item fdstamp. "received foodstamps in yr before assignment"
\item welf1. "once on welfare while growing up"
\item welf2. "twice on welfare while growing up"
\item publicass. "public assistance in yr before assignment"
\item emplq. "worked some time 9-12 months after assignment"
\item emplq4full. "worked all the time in 9-12 months after assignment"
\item pemplq4. "proportion of weeks worked 9-12 months after assignment"
\item pemplq4mis. "missing - proportion of weeks worked 9-12 months after assignment"
\item vocq4. "in vocational training 9-12 months after assignment"
\item vocq4mis. "missing - in vocational training 9-12 months after assignment"
\item health1212. "very good or good health 1 yr after assignment"
\item health123. "fair health 1 yr after assignment"
\item pe_prb12. "1=phys/emot probs at 12 mths 0=no prob"
\item pe_prb12mis. "missing - physical/emotional problems 1 yr after assignment"
\item narry1. "number of arrests in year 1"
\item numkidhhf1zero. "no own kids living in household 1 yr after assignment"
\item numkidhhf1onetwo. "one or two own kids living in household 1 yr after assignment"
\item pubhse12. "1=in public housing 1 yr after assignment, 0=not in"
\item h_ins12a. "afdc and other transfers one yr after assignment"
\item h_ins12amis. "missing - afdc and other transfers one yr after assignment"
\item ... other variables as annotated in the source.
}
}
\references{
Huber, M. (2014). Identifying causal mechanisms
(primarily) based on inverse probability weighting. Journal of
Applied Econometrics, 29(6), 920-943. \doi{10.1002/jae.2341}
Huber, M. (2014). Identifying causal mechanisms
(primarily) based on inverse probability weighting. Journal of
Applied Econometrics, 29(6), 920-943. \doi{10.1002/jae.2341}
}