library(multiDiff)
library(synthdid)
data('california_prop99')
mdd_california_prop99 <- mdd_data_format(california_prop99,
y_var = "PacksPerCapita",
time.index = "Year",
treat = "treated",
unit.index = "State")
## Run
res <- mdd_synthdid(mdd_dat=mdd_california_prop99)
res_full <- mdd_synthdid(mdd_dat=mdd_california_prop99, add_weights = TRUE)
W <- as.data.frame(attr(res_full, "mdd_data"))
head(W)
res_rerun <- mdd_DD_simple(mdd_california_prop99, weights = W$weights)
## Compare with feols_output
test_that("add_weights=TRUE gives same output", {
expect_equal(res[1],
coef(res_rerun)[[1]])
})
## check coef method
test_that("Coef method works", {
expect_equal(coef(res),
-15.603828)
})
test_that("Tidy method works", {
expect_s3_class(tidy(res),
"data.frame")
})
test_that("Tidy method works", {
expect_no_error(tidy(res, conf.int = TRUE))
})
### means
# res_full_dat <- attr(res_full, "mdd_data")
# as_tibble(res_full_dat)
# mdd_group_means(res_full_dat, weights = weights) %>%
# ggplot(aes(x=Year, y=PacksPerCapita, color=.group))+
# geom_line()
#
# plot(mdd_california_prop99)+
# geom_line(aes(x=Year, y=PacksPerCapita, color=.group), data=mdd_group_means(res_full_dat, weights = weights), linetype=2)
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