Re: st: Predicted probabilities after oprobit w/robust standard errors

[Nick Winter <nw53@cornell.edu>]

No.

You are confusing the (sampling) variance of the various estimates, 
with the variance of the underlying distribution.  The latter is 
normalized to one regardless of the technique used to estimate the 
sampling variances.

--NW


At 01:58 PM 6/2/2006, you wrote:



> Aren't things a little trickier in the oprobit and similar contexts?
> Suppose that you are interested in the prediction in the sense of the
> category that the model suggests has the highest probability.  If the
> variance of the linear index is higher, there will be higher
> probability associated with "further away" categories potentially
> changing the category that the model predicts to be most likely.  I
> apologize for the foregoing abuse of formal statistical terms.
________________________________________________________
Nicholas J. G. Winter                     607.255.8819 t
Assistant Professor                       607.255.4530 f
Department of Government              nw53@cornell.edu e
Cornell University        falcon.arts.cornell.edu/nw53 w
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Ithaca, NY 14853-4601 

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