ATT from a matched sample — morie_matching_att

Estimates the Average Treatment effect on the Treated using paired differences from a matched sample. Uses the explicit _matched suffix to distinguish it from the IPW estimator morie_estimate_att in causal.R.

Usage

morie_matching_att_matched(
  data,
  outcome,
  treatment,
  match_pairs,
  weights = NULL,
  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.
weights: Optional column of matching weights.
alpha: Significance level for confidence intervals.

Value

A list of class morie_te_result.

Examples

# \donttest{
set.seed(1)
df <- data.frame(y = rnorm(200), d = rbinom(200, 1, 0.4),
                 x1 = rnorm(200), x2 = rnorm(200))
res <- morie_matching_nearest_neighbor(df, "d", c("x1", "x2"))
morie_matching_att_matched(df, "y", "d", res$match_pairs)
#> $estimand
#> [1] "ATT"
#> 
#> $estimate
#> [1] -0.1000929
#> 
#> $std_error
#> [1] 0.1316426
#> 
#> $ci_lower
#> [1] -0.3581077
#> 
#> $ci_upper
#> [1] 0.1579219
#> 
#> $p_value
#> [1] 0.4470526
#> 
#> $n_obs
#> [1] 87
#> 
#> $details
#> list()
#> 
#> attr(,"class")
#> [1] "morie_te_result" "list"           
# }