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?
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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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