#' OLS Estimator
#'
#' @param frame_df DESCRIPTION.
#' @param fit_formula DESCRIPTION.
#' @param IPW Inverse probability weights specified as character vector.
#' @param robust Logical. Whether to report heteroskedastic robust standard errors. Implemented only for linear models for now.
#' @param col_names DESCRIPTION.
#' @param ... DESCRIPTION.
#'
#' @return RETURN_DESCRIPTION
#' @examples
#' # ADD_EXAMPLES_HERE
#' @importFrom lfe felm
#' @importFrom multiwayvcov cluster.vcov
#' @importFrom lmtest coeftest
#' @export
estimate_lm <- function(frame_df,
fit_formula,
IPW,
robust,
col_names,
...) {
requireNamespace("lfe", quietly = TRUE)
if (is.null(IPW)) {
fit <-
suppressWarnings(
lfe::felm(formula = fit_formula,
data = frame_df)
)
} else {
fit <-
suppressWarnings(
lfe::felm(formula = fit_formula,
data = frame_df,
weights = unlist(frame_df[, IPW]))
)
}
estout <-
tibble::as_tibble(summary(fit, robust = robust)$coefficients, rownames = "variable")[,c(1:3,5)]
colnames(estout) <- col_names
return(estout)
}
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