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st: use xtnbreg, fe or xtpoisson, fe vce(r)?
From
"Vestal, Alex - COB" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: use xtnbreg, fe or xtpoisson, fe vce(r)?
Date
Wed, 17 Oct 2012 21:28:15 +0000
Using unbalanced panel data, I am modeling a count DV with overdispersion (patent counts). I recently submitted a study using xtnbreg and a reviewer commented: "the best practice is to use xtpoisson with robust SEs that resolves the usual reasons to favor xtnbreg."
I had been using xtnbreg because of its ability to handle overdispersion. Is xtpoisson vce(robust) robust to overdispersion? I'm looking for rationale as to which approach I should be using. Any guidance would be greatly appreciated!
Best,
Alex Vestal, Ph.D.
Assistant Professor of Technology Management
College of Business
Oregon State University
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