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#' @title Simulated data with two treatment groups and homogenous effects
#'
#' @description Generated using the following call:
#' \code{did2s::gen_data(panel = c(1990, 2020),
#' g1 = 2000, g2 = 2010, g3 = 0,
#' te1 = 2, te2 = 2, te3 = 0,
#' te_m1 = 0, te_m2 = 0, te_m3 = 0)}
#'
#' @format A data frame with 31000 rows and 15 variables:
#' \describe{
#' \item{unit}{individual in panel data}
#' \item{year}{time in panel data}
#' \item{g}{the year that treatment starts}
#' \item{dep_var}{outcome variable}
#' \item{treat}{T/F variable for when treatment is on}
#' \item{rel_year}{year relative to treatment start. Inf = never treated.}
#' \item{rel_year_binned}{year relative to treatment start, but <=-6 and >=6
#' are binned.}
#' \item{unit_fe}{Unit FE}
#' \item{year_fe}{Year FE}
#' \item{error}{Random error component}
#' \item{te}{Static treatment effect = te}
#' \item{te_dynamic}{Dynamic treatmet effect = te_m}
#' \item{group}{String name for group}
#' \item{state}{State that unit is in}
#' \item{weight}{Weight from runif()}
#' }
"df_hom"
#' @title Simulated data with two treatment groups and heterogenous effects
#'
#' @description Generated using the following call:
#' \code{did2s::gen_data(panel = c(1990, 2020),
#' g1 = 2000, g2 = 2010, g3 = 0,
#' te1 = 2, te2 = 1, te3 = 0,
#' te_m1 = 0.05, te_m2 = 0.15, te_m3 = 0)}
#'
#' @format A data frame with 31000 rows and 15 variables:
#' \describe{
#' \item{unit}{individual in panel data}
#' \item{year}{time in panel data}
#' \item{g}{the year that treatment starts}
#' \item{dep_var}{outcome variable}
#' \item{treat}{T/F variable for when treatment is on}
#' \item{rel_year}{year relative to treatment start. Inf = never treated.}
#' \item{rel_year_binned}{year relative to treatment start, but <=-6 and >=6
#' are binned.}
#' \item{unit_fe}{Unit FE}
#' \item{year_fe}{Year FE}
#' \item{error}{Random error component}
#' \item{te}{Static treatment effect = te}
#' \item{te_dynamic}{Dynamic treatmet effect = te_m}
#' \item{state}{State that unit is in}
#' \item{group}{String name for group}
#' }
"df_het"
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