| loo_donors | R Documentation |
Iteratively re-estimates the synthetic control excluding one contributing donor at a time, holding the predictor weights V fixed at their baseline values (Abadie, Diamond & Hainmueller 2015, footnote 20). The spread of the leave-one-out ATT estimates shows how much the result hinges on any single donor.
loo_donors(fit, weight_threshold = 1e-06)
fit |
A sharp |
weight_threshold |
Only donors whose baseline weight exceeds this
value are dropped (removing a zero-weight donor cannot change the fit).
Default |
For penalised fits (lambda_pen used), the same penalty is re-applied in
each leave-one-out QP.
A list with:
att_original: baseline ATT
results: data.frame with one row per excluded donor
(donor, weight, att_loo)
att_range: range of the leave-one-out ATTs
placebo_in_time(), mspe_ratio_pval()
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