#' @title Plot the event study coefficients
#' @author Jiacheng He
#'
#' @import ggplot2
#' @importFrom plm vcovHC
#' @importFrom lmtest coeftest
#' @export
#'
event_plot <- function(fit, eventVar, cluster=NULL) {
if (!is.null(cluster)) {
fit <- fit %>%
coeftest(vcov = plm::vcovHC(fit, method = "arellano", type = "HC0", cluster = fit$model[[cluster]]))
}
reg_matrix <- tidy(fit) %>%
mutate(conf.low = estimate - 1.96 * std.error,
conf.high = estimate + 1.96 * std.error)
reg_matrix %>%
filter(str_detect(term, eventVar)) %>%
mutate(term = str_replace(term, eventVar, "")) %>%
mutate(term = as.numeric(term)) %>%
add_row(term = 0, estimate = 0) %>%
replace_na(list(conf.high = 0, conf.low = 0)) %>%
ggplot(aes(term, estimate)) +
geom_point() +
geom_line() +
geom_vline(xintercept = 0, color = "red") +
geom_hline(yintercept = 0, linetype = 2) +
geom_line(aes(y = conf.low), linetype = 2) +
geom_line(aes(y = conf.high), linetype = 2) +
xlab("years relative to the treatment") +
ylab("coefficient")
}
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