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#' @importFrom tibble tibble
NULL
#' Inequality and Instability: The Relation of Land Tenure to Politics (Russett, 1964)
#'
#' A data set on inequality and political instability, to replicate an analysis
#' from Russett (1964).
#'
#' @format A data frame with 47 observations on the following 10 variables.
#' \describe{
#' \item{\code{country}}{a character vector for the country}
#' \item{\code{demcat}}{a character vector for the type of political system, either "Stable Democracies", "Unstable Democracies", or "Dictatorships"}
#' \item{\code{gini}}{a numeric vector for the GINI coefficient}
#' \item{\code{perc_farmsh}}{a numeric vector for the percent of farms with half the land}
#' \item{\code{perc_farmsr}}{a numeric vector for the percent of farms that are rented}
#' \item{\code{pi}}{a numeric vector for personnel instability}
#' \item{\code{eiw}}{a numeric vector for Eckstein's internal war measure}
#' \item{\code{deaths}}{a numeric vector for deaths from civil group violence per one million}
#' \item{\code{gnppc}}{a numeric vector for gross national product per capita}
#' \item{\code{perc_lfa}}{a numeric vector for the percent of the labor force in agriculture}
#' }
#'
#' @details The data are scraped from Table 1 and Table 3 of his article, to the
#' best of my ability. I was initially hoping this could be a problem for ChatGPT
#' and its OCR functionality. However, ChatGPT made an absolute mess of Table 1.
#' The bulk of this is hand-coded. The data, as of right now, can effectively
#' reproduce what Russett (1964) reports in his analyses, but it is not identical.
#'
#' You should read the article to see the assorted citations and data caveats
#' that Russett (1964) reports. Those are ultimately suppressed/ignored here.
#'
#'
#' @references
#'
#' Russett, Bruce M. "Inequality and Instability: The Relation of Land Tenure to
#' Politics." *World Politics* 16(3): 442--54
#'
"Russett64"
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