R/data.R

In yixinsun1216/crossfit: Double/Debiased Machine Learning

#' Effect of Temperature and Precipitation on Corn Yields
#'
#' Sample of corn yield, temperature, and precipitation data
#'
#' @format A data frame with 11,480 rows and 7 variables
#' \describe{
#'   \item{logcornyield}{log corn yields}
#'   \item{year}{Year of observation}
#'   \item{fips}{Federal Information Processing Standards (FIPS) codes at the
#'   county-state level}
#'   \item{lower}{sum of Growing Degree Days (GDD) between 0-29 degrees Celsius}
#'   \item{higher}{sum of GDD above 29 degrees}
#'   \item{prec_lo}{precipitation (in percent) below 42. i.e. if the
#'   precipitation is 40, then prec_lo is 2}
#'   \item{prec_hi}{precipitation above 42}
#'   ...
#' }
#' @source \url{https://www.aeaweb.org/articles?id=10.1257/pol.20130025}
"corn_yield"