Really, you can't have looked very hard.
You need a good text. In Stataland, you might
as well start with the books by Scott Long,
with or without Jeremy Freese. See the Stata
bookstore for details. The manual entries
on these commands certainly cover the basics,
and so there is no point in recapitulating those
here.
What -ologit- and -oprobit- have in common
is a response variable that you consider
to be an ordered categorical variable. -rep78-
is a simple example in the auto data. It is
not measured, but categorical. It is ordered.
I don't know what data you have that are normally
distributed, but whatever the details that
is not relevant to either of these methods.
If your response variable is approximately
normal, it can't be an ordered categorical
variable. Also, I doubt that the marginal
distribution is particularly important for
choice of method.
Nick
[email protected]
Vanessa Mahlberg
could anybody please tell me the difference of ordered probit and
ordered logit regression modells. I couldn?t find a plausible
explanation of the difference of these two models.
My data is approximated normally distributed. So I think I should use
oprobit X Y? Am I right with this assumption?
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