R/rd-postcol_growth.R

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

#' @importFrom tibble tibble
NULL

#' Post-Colonial Growth in the African Continent
#'
#' A simple data set on post-colonial growth trajectories in the African continent,
#'  for intended use to instruct students about *t*-tests around the application
#'  of colonial legacies.
#'
#' @format A data frame with 53 observations on the following 11 variables.
#' \describe{
#' \item{\code{ccode}}{a Correlates of War state code}
#' \item{\code{cw_name}}{a Correlates of War state name}
#' \item{\code{styear}}{the start year for latest system entry for the state}
#' \item{\code{IndFrom}}{a Correlates of War state code, if applicable,
#' identifying the state from which the state identified in the \code{ccode}
#' gained independence}
#' \item{\code{colmast}}{a character vector largely corresponding with the
#' information in \code{IndFrom} with only slight changes}
#' \item{\code{mrgdppcind}}{an estimate of GDP per capita for the year identified
#' in the \code{styear} column, itself largely corresponding with independence
#' from the state identified in \code{IndFrom} and \code{colmast}}
#' \item{\code{mrgdppc5}}{an estimate of GDP per capita 5 years from the year
#' identified in the \code{styear} column}
#' \item{\code{mrgdppc10}}{an estimate of GDP per capita 10 years from the year
#' identified in the \code{styear} column}
#' \item{\code{mrgdppc15}}{an estimate of GDP per capita 15 years from the year
#' identified in the \code{styear} column}
#' \item{\code{mrgdppc20}}{an estimate of GDP per capita 20 years from the year
#' identified in the \code{styear} column}
#' \item{\code{mrgdppc25}}{an estimate of GDP per capita 25 years from the year
#' identified in the \code{styear} column}
#' }
#'
#' @details
#'
#' Data are generated with assistance from \pkg{isard}, another R package I
#' maintain.
#'
#' Data are sliced to record only latest system entry into the CoW data, which
#' concerns states (like Morocco, Tunisia, and Ethiopia) that were temporarily
#' occupied and eliminated.
#'
#' I take some liberties classifying former colonial masters in the \code{colmast}
#' column. Namely, I elect to not record Ethiopia's independence from Italy as
#' suggesting Italy was a colonial master of Ethiopia. I do not code South
#' Africa's independence from the United Kingdom as noteworthy for the sake of
#' this analysis (given the topic of interest to me for creating these data).
#' Senegal nominally gains independence from Mali when it leaves the Mali
#' Federation, but I attributes its independence to being ultimately from France.
#' Morocco and Tunisia were protectorates of France though the ICOW measure of
#' colonial history says it gains independence from the Ottoman Empire. I do not
#' consider Namibia (South Africa) or Eritrea (Ethiopia) to be colonial under the
#' states from which they gained independence.
#'
#' The estimates of GDP per capita are real GDP per capita in prices constant
#' across countries and over time (in 2011 international dollars, PPP). These
#' data are sourced from the Maddison project database but are the product of
#' simulations by Farris et al. (2022). You can read a bit more about these
#' in the sources in the reference section, or in the documentation for the
#' `cw_gdppop` data frame in the \pkg{isard} package.
#'
#' Colonial history data come by way of ICOW (v. 1.1).
#'
#' @references
#'
#' Bolt, Jutta, Robert Inklaar, Herman de Jong, and Luiten Janvan Zanden. 2018.
#' "Rebasing 'Maddison': New Income Comparisons and the Shape of Long-Run Economic
#' Development." *Maddison Project Working paper 10*.
#'
#' Fariss, Christopher, J., Therese Anders, Jonathan N. Markowitz, and Miriam
#' Barnum. 2022. "New Estimates of Over 500 Years of Historic GDP and Population
#' Data." *Journal of Conflict Resolution* 66(3): 553--91.
#'
#' Hensel, Paul R. 2018. "ICOW Colonial History Data Set, version 1.1." Available
#' at \url{https://www.paulhensel.org/icowcol.html}.
#'
#' ## Other Points of Departure
#'
#' The intended use of these data is to instruct students about *t*-tests with
#' an application to the development trajectories of former colonies in the
#' African continent. This particular topic is definitely fraught with caveats
#' to consider, and such a simple data set intended to teach students rudimentary
#' methods around a question that might understand just cannot cover all these
#' issues. Please consider the following scholarship on this topic.
#'
#' Acemoglu, Daron, Simon Johnson, and James A. Robinson. 2001. "The Colonial
#' Origins of Comparative Development: An Empirical Investigation". *American
#' Economic Review* 91(5): 1369--1401.
#'
#' Bolt, Jutta and Dirk Bezemer. 2009. "Understanding Long-Run African Growth:
#' Colonial Institutions or Colonial Education?" *The Journal of Development
#' Studies* 45(1): 24--54.
#'
#' Gallup, John Luke, Jeffrey D. Sachs, and Andrew D. Mellinger. 1999. "Geography
#' and Economic Development." *International Regional Science Review* 22(2):
#' 179--232.
#'
#' Glaeser, Edward L., Rafael La Porta, Florencio Lopez-de-Silanes, and Andrei
#' Shleifer. 2004. "Do Institutions Cause Growth?" *Journal of Economic Growth*
#' 9: 271--303.
#'
#' La Porta, Rafael, Florencio Lopez-de-Silanes, Andrei Shleifer and Robert W.
#' Vishny. 1999. *Journal of Law, Economics, and Organization* 15(1): 222-79.
#'
#'
#'
#'
"postcol_growth"