st: reference for simulation of biased estimates with logit and dummies

["Rosy Reynolds" <rr@dandr.demon.co.uk>]

Hi,
I have data where I expect clustering by centre, and have read repeatedly on 
Statalist that adding centre dummies to represent fixed effects produces 
biased estimates unless the number of observations in each centre is large.
David Harless in Oct 2007 
(http://www.stata.com/statalist/archive/2007-10/msg00926.html) helpfully 
pasted a detailed explanation from Bill Gould and Vince Wiggins from Feb 
2000, which includes mention of a simulation study showing that the bias 
really matters: "In the case of logistic regression, however, the estimates 
one obtains from including all the dummies are biased and, even as 
n->infinity, that bias never goes away. Vince Wiggins <vwiggins@stata.com> 
and I recently simulated this and discovered that this not a sterile, 
theoretical argument -- the estimates on obtains for the parameters are 
genuinely bad." I think the same simulation was alluded to again in 2003 
(http://www.stata.com/statalist/archive/2003-09/msg00103.html) and 2007 
(http://www.hsph.harvard.edu/cgi-bin/lwgate/STATALIST/archives/statalist.0710/date/article-934.html).
I would like to cite this simulation, or something similar, but have not 
managed to find any more detail. Could anyone please direct me to a 
reference or confirm that it was internal work and not formally published?
(I was also unable to find the Feb 2000 Statalist entry. It seems that the 
archive does not go back so far. Is that right?)
Thanks to anyone and everyone who can help.
Rosy Reynolds



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