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RE: st: Interpretation of Cut Points in Ordered Probit (Logit) Model


From   "Auh, Jun Kyung" <jauh14@gsb.columbia.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Interpretation of Cut Points in Ordered Probit (Logit) Model
Date   Fri, 26 Apr 2013 10:11:33 -0400

Thanks. So I need to add back mean of X to generate predicted Y (not Pr(Y=i)) based on the cut points, right?
Just want to make sure that I understood.

Best,
JK

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of JVerkuilen (Gmail)
Sent: Thursday, April 25, 2013 11:40 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Interpretation of Cut Points in Ordered Probit (Logit) Model

On Thu, Apr 25, 2013 at 9:25 PM, Auh, Jun Kyung <jauh14@gsb.columbia.edu> wrote:
>
> The regression results show that I have negative value for cut2.
> If cut2 < 0, wouldn't the model predict that there is zero observation with Y = 1?
> Or, is the cut points are de-meaned? i.e, do I have to add back the mean of X to have correct interpretation?

Like intercept type parameters in other models, the cuts are relative to the mean of X.


--
JVVerkuilen, PhD
jvverkuilen@gmail.com

"He uses statistics as a drunken man uses lamp-posts - for support rather than illumination."--Andrew Lang

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