
From  Scott Cunningham <scunning@gmail.com> 
To  statalist@hsphsun2.harvard.edu 
Subject  Re: st: RE: poisson  bootstrapping or clustering? 
Date  Tue, 12 Sep 2006 09:11:59 0400 
I missed the previous post you are referring to but why not use  xtnbreg if
you know you have overdispersion in your data?
Carter Rees
School of Criminal Justice
University at Albany, SUNY
carterrees@gmail.com
Original Message
From: ownerstatalist@hsphsun2.harvard.edu
[mailto:ownerstatalist@hsphsun2.harvard.edu] On Behalf Of Scott Cunningham
Sent: Tuesday, September 12, 2006 8:13 AM
To: statalist@hsphsun2.harvard.edu
Subject: st: poisson  bootstrapping or clustering?
I'm estimating a model of sexual partners using xtpoisson and 
poisson. The data suffers from overdispersion, and so I'm trying to
correct for that using bootstrapping within xtpoisson. But as I
posted the other day, I'm having trouble recovering the marginal
effects in postestimation. I have a memory of someone telling me
that the cluster() option within poisson can correct for
overdispersion. Does anyone with experience in count data have
recommendations? This is microlevel data from the National
Longitudinal Survey of Youth (1997). The problem with mfx, dydx
appears to be that bootstrapping within xtpoisson had numerous
failures in calculating the standard errors. That's at least what I
think is going wrong.
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