For the top-exposure sectors, regresses each sector's share on observable
unit characteristics to see how strongly exposure correlates with observables
— the key credibility check when identification comes from the shares.
Usage
ssb_share_balance(design, covariates, top = 5)
Arguments
- design
An [ssb_design()] object.
- covariates
Character vector of observable columns in `data`.
- top
Number of top-exposure sectors to test.
Value
A `data.frame` of slope coefficients and (robust) t-statistics of
each covariate in the share regression, one block per tested sector.