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st: RE: Panel with multiple problems


From   "Schaffer, Mark E" <[email protected]>
To   "[email protected]" <[email protected]>
Subject   st: RE: Panel with multiple problems
Date   Wed, 26 Mar 2014 00:22:19 +0000

Phil,

> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of Philip Bromiley
> Sent: 25 March 2014 23:41
> To: [email protected]
> Subject: st: Panel with multiple problems
> 
> I have a panel data set with many firms and 2 to 20 annual observations per
> firm.  I want fixed effects.
> 
> The model includes an endogenous regressor.  I am using additional lags of the
> endogenous regressor as instruments.  I expect substantial heteroscedasticity
> by firm and serial correlation within firms.
> 
> My experience is that estimators that correct for serial correlation (e.g.,
> xtregar) give very different betas than those that do not (e.g., xtreg), even if
> both estimators are consistent.
> 
> I know xtivreg2 with cluster and xtivreg2 with the bw() robust options are both
> robust to arbitrary heteroskedasticity and arbitrary autocorrelation.  The
> documentation says the cluster option is robust to "arbitrary intragroup
> autocorrelation" but for the bw()robust option, it just says
> "arbitrary  autocorrelation".

Just a quick comment on this.  The standard cluster-robust VCE relies on large-N asymptotics, i.e., you need the number of clusters N to go off to infinity.  The bw(.) option uses kernels and bandwidths that typically rely on large-T asymptotics, i.e., you need the number of periods T to go off to infinity.

You don't say how many firms you have, but 2-20 annual observations isn't very many, so relying on large-T asymptotics would be iffy.  Given the choice between cluster-robust and kernel-robust, you'd probably want to opt for the former.

HTH,
Mark

>  However, the gmm estimator (option gmm2s)
> also appears robust to heteroskedasticity and some autocorrelation.
> 
> I am considering using xtivreg with aweights along with the options fe gmm2s
> cluster(gvkey).
> 
> Suggestions would be welcome.  Thank you.
> 
> Phil
> 
> 
> Philip Bromiley
> Dean's Professor in Strategic Management
> Merage School of Business
> University of California, Irvine
> Irvine, CA 92697-3125
> Phone: (949) 824-6657
> Fax: (949) 725-2898
> Email: [email protected]
> 
> "The subject who is truly loyal to the Chief Magistrate will neither advise
> nor submit to arbitrary measures."   Junius
> 
> 
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