An addendum to
http://lists.wfu.edu/pipermail/gretl-users/2016-March/011726.html
On studying the Cameron and Miller piece on clustered variance
estimation (JHR, 2015), I see that the Arellano estimator performed on
quasi-demeaned data is reckoned to be a valid cluster-robust method
for the (one way) random effects model.
So this is now available in gretl, use
panel <regspec> --random-effects --robust
And given those options, the Hausman test is now based on a
cluster-robust auxiliary regression.
Allin