Logistic Regression for Ordered Categories
In the previous chapter we studied the multinomial logit model for dependent variables with three or more unordered categories. When the categories are ordered, it is sometimes useful to ignore the ordering and estimate the unordered multinomial model. However, there are two reasons for preferring models that take the ordering into account:
▪ They are simpler, and therefore easier to interpret.
▪ Hypothesis tests ...