My understanding is that you don't need any generalisation
of interval regression; your problem is one of interval regression.
It is just that there are three and only three intervals
that are observed in your data. That's not a problem except
substantively; it is just a fact.
Nick
[email protected]
Mentzakis, Emmanouil
> I am sorry for the vagueness of my question. Maybe a bit more
> description might help.
>
> I have a dependent variable (hours of an activity per week) that is
> given in intrevals. Thus, 0-20, 21-60, 61-100.
>
> However, if I understand correctly, the goprobit and the gologit2 are
> able to give different effects for explanatory variable
> according to the
> levels in the dependent (i.e relax the parallel line assumption).
>
> And I was wondering if there is any code to do the same thing when the
> dependent varaiabel is not specified simply as ordinal but as
> intervals.
>
>
> I know that I could recode my dependent in order to have it as ordinal
> (i.e. no intervals specified) but I would like to use the intrevals
> information that I have (i.e. the cut-offs would not need to be
> estimated). Additionaly the knowledge of the cut-offs allows
> me to know
> the scale of the variable.
>
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