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#' Earnings data from the Panel Study of Income Dynamics
#'
#' These data come from the years 1976-1982 in the Panel Study of
#' Income Dynamics (PSID), with information about the demographics
#' and earnings of 595 individuals.
#'
#' @format A data frame with 4165 rows and 14 variables:
#' \describe{
#' \item{id}{Unique identifier for each survey respondent}
#' \item{t}{A number corresponding to each wave of the survey, 1 through 7}
#' \item{wks}{Weeks worked in the past year}
#' \item{lwage}{Natural logarithm of earnings in the past year}
#' \item{union}{Binary indicator whether respondent is a member of union
#' (1 = union member)}
#' \item{ms}{Binary indicator for whether respondent is married (1 = married)}
#' \item{occ}{Binary indicator for whether respondent is a blue collar (= 0) or
#' white collar (= 1) worker.}
#' \item{ind}{Binary indicator for whether respondent works in
#' manufacturing (= 1)}
#' \item{south}{Binary indicator for whether respondent lives in the South (= 1)}
#' \item{smsa}{Binary indicator for whether respondent lives in a
#' standard metropolitan area (SMSA; = 1)}
#' \item{fem}{Binary indicator for whether respondent is female (= 1)}
#' \item{blk}{Binary indicator for whether respondent is African-American (= 1)}
#' \item{ed}{Years of education}
#' \item{exp}{Years in the workforce.}
#' }
#' @source
#' These data are all over the place. This particular file was
#' downloaded from Richard Williams at
#' \url{https://www3.nd.edu/~rwilliam/statafiles/wages.dta}, though he doesn't
#' claim ownership of these data.
#'
#' The data were shared as a supplement to Baltagi (2005) at
#' \url{https://www.wiley.com/legacy/wileychi/baltagi3e/data_sets.html}.
#'
#' They were also shared as a supplement to Greene (2008) at
#' \url{https://pages.stern.nyu.edu/~wgreene/Text/Edition6/tablelist6.htm}.
#'
#' The data are also available in numerous other locations, including in
#' slightly different formats as \code{\link[plm]{Wages}} in the \pkg{plm}
#' package and \code{\link[AER]{PSID7682}} in the `AER` package.
#'
"WageData"
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