Callaway–Sant'Anna group-time average treatment effects — morie_did_group_time

Thin wrapper around did::att_gt. For each cohort \(g\) and each post-treatment calendar period t, estimates \(\mathrm{ATT}(g, t)\). Hard-errors if did is not installed.

Usage

morie_did_group_time_att(
  data,
  outcome,
  unit,
  time,
  treatment_time,
  covariates = NULL,
  method = "doubly_robust",
  control_group = "never_treated",
  n_bootstrap = 200L,
  seed = 42L,
  alpha = 0.05
)

Arguments

data: Panel data.
outcome: Outcome column.
unit: Unit identifier.
time: Calendar-time column (integer).
treatment_time: Column with treatment-onset period (use Inf for never-treated).
covariates: Optional covariates for doubly-robust estimation.
method: One of "doubly_robust" (default), "ipw", or "outcome_regression".
control_group: "never_treated" or "not_yet_treated".
n_bootstrap: Number of bootstrap replications for inference (forwarded as biters).
seed: RNG seed (unused; retained for back-compat).
alpha: Significance level.

Value

A data frame with columns cohort, time, att, std_error, ci_lower, ci_upper, p_value.

References

Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics, 225(2), 200–230.