Hi all,
A recent query asked for advice concerning wild bootstrap for a Tobit
regression (http://www.stata.com/statalist/archive/2012-10/msg00827.html).
Since there was no answer, once again:
Is it possible to use the wild bootstrap for an ordered probit model?
Are you aware of any study which has done this before?
I have an unbalanced panel data set (N = 170,000; T = 9), and I need to
estimate an ordered probit regression for my ordered categorical dependent
variable.
My standard errors need to be clustered, but the number of clusters is small
(14).
Therefore, I would like to apply the wild bootstrap to estimate a possibly
less biased t-statistic as suggested by Cameron, Gelbach, Miller (2008).
Any hint is appreciated!
Tobias
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