nsw.R

#' @title National Supported Work Demonstration dataset
#'
#' @description \code{nsw} contains all the subsamples of from the
#' National Supported Work (NSW) Demonstration analyzed used by Smith and Todd (2005)
#' in their paper "Does matching overcome LaLonde's critique of nonexperimental estimators?".
#'
#'
#'
#' @format A data frame in "wide" format with 19204 observations on the following and 14 variables:
#' \describe{
#'   \item{treated}{an indicator variable for treatment status. Missing if not part of the
#'   NSW experimental sample}
#'   \item{age}{age in years.}
#'   \item{educ}{years of schooling.}
#'   \item{black}{indicator variable for blacks.}
#'   \item{married}{indicator variable for martial status.}
#'   \item{nodegree}{indicator variable for high school diploma.}
#'   \item{dwincl}{indicator variable for inclusion in Dehejia and Wahba sample.
#'   Missing if not part of the experimental sample}
#'   \item{re74}{real earnings in 1974 (pre-treatment).}
#'   \item{re75}{real earnings in 1975 (pre-treatment).}
#'   \item{re78}{real earnings in 1978 (post-treatment).}
#'   \item{hisp}{indicator variable for Hispanics.}
#'   \item{early_ra}{indicator variable for inclusion in the early random assignment
#'   sample in Smith and Todd (2005). Missing if not part of the experimental sample}
#'   \item{sample}{1 if NSW (experimental sample), 2 if CPS comparison group, 3 if PSID
#'    comparison group.}
#'   \item{experimental}{1 if in experimental sample, 0 otherwise.}
#'
#' }
#' @source {https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/23407/DYEWLO&version=1.0.}
#' @references
#'   \cite{Diamond, Alexis, and Sekhon, Jasjeet S. (2013),
#'   'Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance
#'    in Observational Studies' Review of Economics and Statistics, vol. 95 , pp. 932-945, \doi{10.1162/REST_a_00318}}
#'
#'
#'   \cite{Smith, Jeffrey, and Todd, Petra (2005),
#'    Does matching overcome LaLonde's critique of nonexperimental estimators?' Journal of Econometrics,
#'    vol. 125, pp. 305-353, \doi{10.1016/j.jeconom.2004.04.011}}
#'
"nsw"