Nothing
# OLS -----------------------------------
test_that("check that the correct part of vcov matrix is used", {
suppressWarnings(
sample_estimation <- EventStudy(estimator = "OLS", data = example_data,
outcomevar = "y_base", policyvar = "z",
idvar = "id", timevar = "t", FE = TRUE, control = "x_r",
TFE = TRUE, post = 2, pre = 2, overidpre = 2,
overidpost = 2, normalize = -1, cluster = TRUE, anticipation_effects_normalization = TRUE)
)
eventstudy_coefficients <- sample_estimation[[2]]$eventstudy_coefficients
vcov_matrix_all <- sample_estimation[[1]]$vcov
v_terms_to_keep <- colnames(vcov_matrix_all) %in% eventstudy_coefficients
vcov_matrix <- vcov_matrix_all[v_terms_to_keep, v_terms_to_keep]
expect_true(isSymmetric(vcov_matrix))
expect_true(all(eventstudy_coefficients %in% colnames(vcov_matrix)))
expect_true(! "x_r" %in% colnames(vcov_matrix))
})
# FHS -----------------------------------
test_that("check that the correct part of vcov matrix is used", {
data <- example_data[, c("y_base", "z", "id", "t", "x_r", "eta_m")]
suppressWarnings(
sample_estimation <- EventStudy(estimator = "FHS", data = data, outcomevar = "y_base", policyvar = "z", idvar = "id",
timevar = "t", controls = "x_r", proxy = "eta_m", FE = TRUE, TFE = TRUE, post = 1,
overidpost = 2, pre = 1, overidpre = 2, normalize = -1, cluster = TRUE, anticipation_effects_normalization = TRUE)
)
eventstudy_coefficients <- sample_estimation[[2]]$eventstudy_coefficients
vcov_matrix_all <- sample_estimation[[1]]$vcov
v_terms_to_keep <- colnames(vcov_matrix_all) %in% eventstudy_coefficients
vcov_matrix <- vcov_matrix_all[v_terms_to_keep, v_terms_to_keep]
expect_true(isSymmetric(vcov_matrix, tol = sqrt(.Machine$double.eps)))
expect_true(all(eventstudy_coefficients %in% colnames(vcov_matrix)))
expect_true(! "x_r" %in% colnames(vcov_matrix))
})
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