Dear Statalist users,
I am a beginner with gllamm and multilevel modelling. I apologise in
advance if this issue has already been raised. I was unable to find
mention of this in this the list archives.
I am fitting a 2 levels random intercept model. The model is a
multinomial logit. In order to fit it, I am using gllamm, with no
random effects specified. I then get the normal gllamm output with an
estimate of level 2 variance.
My question is: how can I test whether this level 2 variance is
significant - say by comparison with a one level mlogit model? I know
about the possibility to use a likelihood ratio test to compare two
nested models, but this would not allow me to test specifically for
level 2 variance, or is there anything I am missing here?
Many thanks in advance.
Pierre
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