R/rd-pwt_sample.R

In svmiller/stevedata: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics

#' @importFrom tibble tibble
NULL

#' Penn World Table (10.0) Macroeconomic Data for Select Countries, 1950-2019
#'
#' These are some macroeconomic data for 21 select (rich) countries. I've used
#'  these data before to discuss issues of grouping and skew in cross-sectional data.
#'
#' @format A data frame with 1470 observations on the following 11 variables.
#' \describe{
#' \item{\code{country}}{the country name}
#' \item{\code{isocode}}{The country's ISO code}
#' \item{\code{year}}{a numeric vector for the year}
#' \item{\code{pop}}{Population in millions}
#' \item{\code{hc}}{Index of human capital per person, based on years of schooling and returns to education}
#' \item{\code{rgdpna}}{Real GDP at constant 2011 national prices (in million 2017 USD)}
#' \item{\code{rgdpo}}{Output-side real GDP at chained PPPs (in million 2017 USD)}
#' \item{\code{rgdpe}}{Expenditure-side real GDP at chained PPPs (in million 2017 USD)}
#' \item{\code{labsh}}{Share of labor compensation in GDP at current national prices}
#' \item{\code{avh}}{Average annual hours worked by persons engaged.}
#' \item{\code{emp}}{Number of persons engaged (in millions)}
#' \item{\code{rnna}}{Capital stock at constant 2017 national prices (in million 2017 USD)}
#' }
#'
#' @source Taken from the \code{pwt10} package. See: \url{https://www.rug.nl/ggdc/}
#'
"pwt_sample"