Removes the `n` shocks with the largest absolute Rotemberg weight *together*
and re-estimates, to see whether the headline result survives without the
most influential shocks. (Contrast [ssb_loo()], which drops one at a time.)
Usage
ssb_drop_top(design, n = 5, methods = c("iid", "ehw", "akm", "akm0"))
Arguments
- design
An [ssb_design()] object.
- n
Number of top-weight shocks to drop.
- methods
Inference methods for the comparison, passed to
[ssb_estimate()] (defaults to the exposure-robust panel; add `"cluster"` /
`"twoway"` if wanted).
Value
A list (class `ssb_drop_top`) with the `dropped` sectors and the
`full` and `reduced` [ssb_estimate()] tables.