Thanks for the response, Sven. $fcast provides (as expected) the same
information.
The point is that I need for the computation of the out-of-sample
probabilities A) the cut-values (provided via $coeff) as well as the
forecasted "z-hat values" which I am not aware of on how to access these.
Artur
Am 16.12.2015 um 17:09 schrieb Sven Schreiber:
Am 16.12.2015 um 16:37 schrieb Artur Tarassow:
> Dear all,
>
> I just trying to run some forecasts based on an ordered probit
> regression model and detected some (maybe?) slight inconsistency -- if
> any.
>
> Using the fcast command returns for the BINARY PROBIT the estimated
> probabilties, but for the ORDERED PROBIT a series of the predicted
> response at each observation (the response for which the estimated
> probability is highest).
I had nothing to do with the design, but it seems to make sense: For a
binary probit, giving the prob p_1 of the case 1 tells you everything,
because logically the other case must have 1-p_1. But with an ordered
probit you need at least two probs, and you cannot fit this information
into a single series.
Ok you could say for consistency the binary probit then also should give
just the predicted 0 and 1 after fcast.
Have you tried looking what's in the $fcast accessor? Maybe somebody
buried an easter egg in there for ordered probits.
good luck,
sven
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