Estimates the Average Treatment Effect on the Controls. Uses the
explicit _matched suffix to distinguish it from the IPW estimator
morie_estimate_atc in causal.R.
Usage
morie_matching_atc_matched(data, outcome, treatment, match_pairs, alpha = 0.05)
Arguments
- data
Data frame.
- outcome
Outcome column name.
- treatment
Binary treatment column name.
- match_pairs
Data frame with columns treated_idx and
control_idx.
- alpha
Significance level for confidence intervals.
Value
A list of class morie_te_result.
Examples
if (FALSE) { # \dontrun{
morie_matching_atc_matched(df, "y", "d", res$match_pairs)
} # }