ritest: Randomisation Inference Testing

#' Vendor data from an RCT conducted in Bogota, Colombia.
#'
#' @description This dataset is a preliminary version of the data described in
#' Iacovone and McKenzie (forthcoming). It conforms to an earlier blog post
#' written by one of the authors (McKenzie, 2017) and contains data collected
#' during a randomized controlled trial on supply chains among fresh produce
#' vendors in Bogota, Colombia.
#' @format A data frame with 3336 rows and 8 variables:
#' \describe{
#'   \item{b_block}{business block (geographic identifier)}
#'   \item{b_pair}{randomly assigned treatment pairs (plus one triplet)}
#'   \item{b_treat}{treatment status (1 = yes, 2 = no)}
#'   \item{dayscorab}{number of days that week requiring visits to Corabastos central market}
#'   \item{b_dayscorab}{baseline of the previous variable}
#'   \item{miss_b_dayscorab}{dummy for missing baseline information (1 = yes, 2 = no)}
#'   \item{round2, round3}{survey round dummies}
#' }
#' @details The RCT studies the impact of purchase aggregation by many
#' microenterprises (here: fruit and vegetable vendors), which enables a
#' reduction in costly individual visits to a large central market. My thanks to
#' David McKenzie for sharing the data.
#' @references McKenzie, D. (2017) "Finally, a way to do easy randomization inference in Stata!", Development Impact (World Bank blog). \url{https://blogs.worldbank.org/impactevaluations/finally-way-do-easy-randomization-inference-stata}.
#' @references Iacovone, L. and McKenzie, D. (forthcoming) "Shortening Supply Chains: Experimental Evidence from Fruit and Vegetable Vendors in Bogota", Economic Development and Cultural Change. \url{https://doi.org/10.1086/714050}.
"colombia"