st: RE: RE: ivreg2 warning but ALL statistics are reported

[Umid Aliev <U.Aliev@leeds.ac.uk>]

Dear Mark,
Thank you very much. I have tried ivreg29 and there is no any warning message now, and everything else seems to be fine. 
Thanks a lot again,
Best wishes
Umid
________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Schaffer, Mark E [M.E.Schaffer@hw.ac.uk]
Sent: 30 March 2010 15:40
To: statalist@hsphsun2.harvard.edu
Subject: st: RE: ivreg2 warning but ALL statistics are reported

Umid,

> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Umid Aliev
> Sent: Tuesday, March 30, 2010 3:13 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: ivreg2 warning but ALL statistics are reported
>
> Reposting the question as the old text seemed a bit unclear.
>
> Dear Stata users,
>
> In my work on estimating wage equation using cross-sectional
> data I am using
> ivreg2 command for 2-step GMM. Since the data is
> cross-regional I am tryig to
> use cluster-robust standard errors. I have 26 clusters
> (regions) and 70
> regressors (including industry and regional dummies). To
> avoid the problem of
> having weighting matrix to be rank deficient I partialled out
> industrial and
> regional dummies, which left me with only 3 regressors (1 endogenous
> instrumented by 3 excluded) for 26 clusters (regions).
> Nevertheless I got the
> warning message -
>
> > warning - estimated covariance matrix of moment conditions
> not of full rank.
> > overidentification statistic not reported, and standard
> errors and model
> > tests should be interpreted with caution.
> >
> > possible causes -  number of clusters insufficient to
> calculate robust
> > covariance matrix singleton dummy variable (dummy with one
> 1 and N-1 0s or
> > vice versa) partial option may address problem.
>
> Overidentification test Hansen J statistic is reported
> contrary to what is
> stated in the warning message. The only statistic missing is
> Stock-Wright LM S statistic.

This is a bit odd.  Partialling-out is the right strategy, and your
results should be valid.  I don't understand, though, why ivreg2 is
still complaining about a var-cov matrix of orthogonality conditions
that isn't full rank, since, as you point out, it was able to calculate
the J stat.

We released a major update of ivreg2 not long ago.  Are you using the
most recent version?  I've got version 3.0.01 on my machine here.

We also released a version of ivreg2 that runs under Stata 9 and later,
ivreg29.  The internal code of ivreg2 and ivreg29 are rather different
(ivreg2 is heaviily Mata-ized, ivreg29 is not).  Do you get the same
output with ivreg29?

Cheers,
Mark

> I am slightly confused on how to treat these
> results. Are they
> valid? or does the appearance of warning suggest that further
> work needs to be
> done?
>
> Many thanks,
> Umid
>
> Umid Aliev
> Leeds University Business School
> Maurice Keyworth Building
> Leeds
>
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