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st: RE: RE: Re: Predicting Random Effects from a Crossed-Level Model using xtmelogit


From   "Joseph Coveney" <jcoveney@bigplanet.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: RE: Re: Predicting Random Effects from a Crossed-Level Model using xtmelogit
Date   Tue, 29 Dec 2009 22:30:55 +0900

Albert Lee wrote:

Thanks.  Yes, and no.  Yes in that xtmelogit for crossed-level model uses
Laplace approximation.  However, when I tried specifying the intpoints option,
STATA generates an error message as below:

. xtmelogit fail refinance || _all:R.year || _all:R.hub || _all:R.originator_n,
intpoints(5 5 5)
wrong number of intpoints() specifications
r(198);

Could you tell me what went wrong?

--------------------------------------------------------------------------------

Maybe:  with the cross-classified random effects model that your syntax implies,
you only have one level, and not three levels as in a hierarchical model.  So,
try -intpoints(5)-.

Joseph Coveney



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