Ok, here I'm back with an observation (just in case something may need to
be fixed):
As Jack recommended I used the "catch" option with the probit command and
the loop didnt' stop anymore at that time...but it did stop yesterday when
applied to new data.
When I look at the detailed estimations into the loop, it seems that
there's no problem in estimating the probit itself and gretl shows up the
results normally. Which means that the error I encountered eventually has
no relation with the perfect prediction symptom we suspected initially.
So troubles should come when retrieving the $yhat series. Consequently, I
tried the following "catch genr series predict_external = $yhat[,1]" and
got the code error "30".
Any hint on that?
Best,
Artur
2014-05-04 23:50 GMT+02:00 artur.bala.tn <artur.bala.tn(a)gmail.com>:
Dear Jack,
I'm still stuck in bivariate probit models and suspect something strange
going out there.
When I estimate a (highly correlated) bivariate model (providing the
--robust and --cluster options) throught the GUI and try to save the $yhat
matrix through the console, I got the same (not so) error message:
> The statistic you requested is not available
>>> genr series predict_external = $yhat[,1]
Instead, when I estimate the model through the console (or script)
everything works fine
???
Best
Artur
*From:* Riccardo (Jack) Lucchetti <r.lucchetti(a)univpm.it>
*Date:* 2014-04-28 07:49
*To:* Gretl list <gretl-users(a)lists.wfu.edu>
*Subject:* Re: [Gretl-users] bivariate probit in a loop
On Mon, 28 Apr 2014, artur.bala.tn wrote:
> Dear all,
> I'm currently estimating a bootstraped bivariate probit through a
> progressive loop and retrieve each time the $yhat matrix. At some point,
> the execution is interrupted with the "warning":
>
>
> The statistic you requested is not available
>>> genr series predict_external = $yhat[,1]
>
>
> Is there a perfect prediction symptom behind this message isn't it?
It could be, yes.
> Can one, in such a loop, skip cases where the MLE estimation is not
> technically possible?
Use "catch": for example,
<hansl>
nulldata 50
small = 0.25
x1 = normal()
x2 = normal()
y1 = x1 + normal()*small > 0.5
y2 = x2 > 0
catch biprobit y1 y2 const x1 ; const x2
err = $error
if !err
z = $yhat
printf "%10.3f", meanc(z)
else
printf "Error!\n"
endif
</hansl>
-------------------------------------------------------
Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucchetti(a)univpm.it
http://www2.econ.univpm.it/servizi/hpp/lucchetti
-------------------------------------------------------
_______________________________________________
Gretl-users mailing list
Gretl-users(a)lists.wfu.edu
http://lists.wfu.edu/mailman/listinfo/gretl-users