R/data.R

#' LaLonde data set
#'
#' Data from the National Supported Work Demonstration Program and 
#'   the Panel Study for Income Dynamics. A benchmark data set, which is
#'   extensively analyzed by LaLonde (1986), Dehejia and Wahba (1999), and Imai
#'   and Ratkovic (2014). 
#'
#' @format A data frame with 3212 observations and 12 variables.
#' \describe{
#'   \item{exper}{an indicator for whether the observed unit was in the 
#'     experimental subset}
#'   \item{treat}{an indicator for whether the individual received the treatment}
#'   \item{age}{age in years}
#'   \item{educ}{schooling in years}
#'   \item{black}{an indicator for black}
#'   \item{hisp}{an indicator for Hispanic}
#'   \item{married}{an indicator for marriage status, one for married}
#'   \item{nodegr}{an indicator for no high school degree}
#'   \item{re74}{reported earnings in 1974}
#'   \item{re75}{reported earnings in 1975}
#'   \item{re78}{reported earnings in 1978}
#'   \item{re74.miss}{an indicator for whether the 1974 earnings variable is 
#'     missing}
#' }
#' Data not missing 1974 earnings are the Dehejia-Wahba subsample of the LaLonde
#'   data. Missing values for 1974 earnings set to zero. 1974 and 1975 earnings 
#'   are pre-treatment. 1978 earnings is taken as the outcome variable.
#' @source This version of the data is from \code{\link[CBPS]{LaLonde}} data in \code{CBPS} package.
#' @references Dehejia, Rajeev H., and Sadek Wahba. 1999. "Causal Effects in 
#'   Nonexperimental Studies: Reevaluating the Evaluation of Training Programs."
#'   Journal of the American Statistical Association 94 (448): 1053--62.
#'
#'   Imai, Kosuke and Marc Ratkovic. 2014. "Covariate Balancing 
#'   Propensity Score." Journal of the Royal Statistical Society, Series B 
#'   (Statistical Methodology) 76 (1): 243--63.
#'
#'   LaLonde, Robert J. 1986. "Evaluating the Econometric Evaluations 
#'   of Training Programs with Experimental Data." American Economic Review 76 
#'   (4): 604--20.
"LaLonde"

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nawtilus documentation built on July 23, 2020, 5:09 p.m.