Message-ID: <6c51a8ae5c4b42bb8fde254752f38c2d@qimrberghofer.edu.au>
Date: 2021-02-15T05:14:13Z
From: David Duffy
Subject: non-singularity with glmer() in a logit mixed model
In-Reply-To: <PR1PR02MB48897AAF0FE4ED21C84167F992899@PR1PR02MB4889.eurprd02.prod.outlook.com>
> The focus of the paper is to compare the results of two dependent variables, Y.A and Y.B for firms nested in 24 regions.
> I am estimating mixed logit models [...] the definition of Y.A is much more restrictive though more interesting than the definition of Y.B.
> Therefore, for Y.A there are far fewer ones for firms in the 24 regions.
I don't know if this is helpful, but you might try a multinomial (or even ordinal, if that is appropriate) outcome (no, y-loose, y-strict) GLMM. There are
a few suitable R packages (eg MCMCglmm).