Thank you for your comment. I had estimated the model using the complex option because of clustering in the data. The standard errors were not remarkable, although certain effects were somewhat extreme. Dropping complex resulted in identification warnings related to the extreme estimates. So perhaps, for models with categorical outcomes in addition to using the complex option to address clustering, an analysis without the clustering may be useful to help detect quasi-complete separation.