Artur,
I think "set echo off" might be an option for me.
Jan
-----Ursprüngliche Nachricht-----
Von: Plus.line MailSystem [mailto:cyrus@mailer.plusline.de] Im Auftrag von Artur Tarassow
Gesendet: Donnerstag, 7. Januar 2016 16:24
An: gretl-users(a)lists.wfu.edu
Betreff: Re: [Gretl-users] gretl crashes during quantile regression
Which "output" do you actually mean? You are aware of "--quiet" option
for the quantreg command, right? This already suppresses quite a lot of the estimation
output...
Best,
Artur
Am 07.01.2016 um 16:20 schrieb Jan Tille:
Jack,
thank you as well. I have executed my script with the 16th regressor only. It ran through
all the loops (497 steps) for 1317 funds without freezing after finishing as well as
opening the script output.
This lends support to my first assumption, that it is the script output, that might cause
the problem.
I am not able, to check that instantaneously, because, estimating the regressions for the
first 15 regressors, took the computer more than three hours.
Jan
-----Ursprüngliche Nachricht-----
Von: Plus.line MailSystem [mailto:cyrus@mailer.plusline.de] Im Auftrag
von Riccardo (Jack) Lucchetti
Gesendet: Donnerstag, 7. Januar 2016 16:08
An: Gretl list <gretl-users(a)lists.wfu.edu>
Betreff: Re: [Gretl-users] gretl crashes during quantile regression
On Thu, 7 Jan 2016, Jan Tille wrote:
> Dear list members,
>
> I am trying to estimate several quantile regressions, each with a
> constant and a single regressor, on a rolling basis (497 steps). The
> quantile vector is set to q={0.1, 0.25, 0.5, 0.75, 0.90) yielding 5
> quantile regressions per step and individual (1317). Using a simple
> weighting scheme, where the weights sum to 1, the estimated
> conditional quantiles ("y-hats") are aggregated so that this yield
> one estimate per step.
>
> Overall, I have 16 regressors and at the end, I intend to obtain one
> matrix for each regressor. At the end of the day, this should amount
> to
> 497 (steps) * 1317(indiviuals) * 16(regressors) * 5(quantiles) =
> 5,236,392,0 quantile regressions.
[...]
The only piece of advice I have for you at this stage, is: try reducing the size of your
problem by cutting down the number of individuals and/or the number of steps, if possible.
If the problem persists even with a much smaller combination, then the problem is most
likely with gretl and we'll be able to diagnose what the problem is. If the problem
goes away, perhaps the data you dropped contain some oddness. By some trial and error you
should be able to isolate the offending observations and, again, we should be able to
trace the cause(s) of your problem.
-------------------------------------------------------
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
-------------------------------------------------------
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