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st: random effects binary outcome


From   "Xiaodong Chen" <[email protected]>
To   statalist <[email protected]>
Subject   st: random effects binary outcome
Date   Mon, 11 Jun 2007 16:50:09 -0400

Hi All,
For random effects logit and probit models, we can specify the number
of quadrature points (12 by default). According to the manual, more
quadrature points usually generate more stable estimation. If
neglecting the computation expense, are there any shortcomings of
using many quadrature points (say 100) for xtlogit and xtprobit?

Thanks for your help.
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