R/rd-CFT15.R

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

#' @importFrom tibble tibble
NULL

#' Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate
#'
#' This is the replication data for "Randomization Inference in the Regression
#'  Discontinuity Design: An Application to Party Advantages in the U.S. Senate",
#'  published in 2015 in \emph{Journal of Causal Inference}. I use these data to
#'  teach about regression discontinuity designs.
#'
#' @format A data frame with 1390 observations on the following 9 variables.
#' \describe{
#' \item{\code{state}}{a numeric vector for the state. This is ultimately a categorical variable.}
#' \item{\code{year}}{a numeric vector for the year of the election.}
#' \item{\code{vote}}{a numeric vector for the Democratic vote share in the \emph{next} election (i.e. six years later).}
#' \item{\code{margin}}{a numeric vector for the Democratic party's margin of victory in the statewide election. This is the running variable, in RDD parlance.}
#' \item{\code{class}}{a numeric vector for the class to which each Senate seat belongs.}
#' \item{\code{termshouse}}{a numeric vector for the Democratic candidate's cumulative number of terms previously served in the U.S. House.}
#' \item{\code{termssenate}}{a numeric vector for the Democratic candidate's cumulative number of terms previously served in the U.S. Senate.}
#' \item{\code{population}}{a numeric vector for the population of the Senate seat's state.}
#' \item{\code{treatment}}{a numeric vector that is 1 if \code{margin} > 0 and is 0 if \code{margin} < 0.}
#' }
#'
#' @source Cattaneo, Matias D. and Brigham R. Frandsen and Rocio Titiunik. 2015. "Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate". \emph{Journal of Causal Inference} 3(1): 1--24.
#'
#' @references Cattaneo, Matias D. and Brigham R. Frandsen and Rocio Titiunik. 2015. "Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate". \emph{Journal of Causal Inference} 3(1): 1--24.
#'
#' Calonico, Sebastian and Matias D. Cattaneo and Max H. Farrell and Rocio Titiunik. 2017. "\code{rdrobust}: Software for regression-discontinuity designs". \emph{The Stata Journal} 17(2):372--404.

"CFT15"