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st: slogit versus mlogit
Hi
I wonder if anyone can help me?
I am trying to model an ordinal response variable with three levels. I
do not have proportional odds and so I have been investigating the
stereotype model. I understand that if the stereotype model is of its
maximum dimension, in my case 2, then the model is equivalent to a
multinomial logistic regression model. Given that I believe that a
2-dimensional model would be an improvement over a 1-dimensional model
for my data, is there any benefit in fitting the model using slogit
rather than mlogit? Alternatively, does anyone know where I can find
detailed information on the interpretation of a 2-dimensional stereotype
type model from slogit, especially when my explanatory variables are
categorical?
Thanks
Sara
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