Hello again,
I have a problem with your help task. My model is something like that:
log[y(t)] = c + (alpha+ betaB)log[x(t)] + N(t)
(1 - phi(1)B - phi(2)B^2)(1-Phi(1)B^4)N(t)=a(t)
So, past values of x are needed to do back forecast. Do I need to create a new model for
the new time-serie? But it doesn't have sense... Do you know how can I do that?
Thank you very much.
Nieves.
From: nievesanchez(a)hotmail.comTo: gretl-users(a)lists.wfu.eduSubject: RE: [Gretl-users] Back
forecastingDate: Tue, 24 Jun 2008 13:28:34 +0200
I'll try it! Thank you very much.> From: ignacio.diaz-emparanza(a)ehu.es> To:
gretl-users(a)lists.wfu.edu> Subject: Re: [Gretl-users] Back forecasting> Date: Tue,
24 Jun 2008 13:15:02 +0200> > El Tuesday 24 June 2008 12:00:25 Nieves Sánchez
Martínez escribió:> > Hello,> > I have two time-series with different window
observation. I have values for> > the first one in [0, T] and for the second one in
[t1, T] where 0 < t1 < T.> > So, they match in a little window [t1, T]. I have
an ARIMA model including> > two series and I would like to rebuild the second one to
the no observed> > period, I mean to the period [0, t1]. How could I do that with
Gretl?> > You can reverse the order of the data and then you can do normal
forecasting.> To see how to reverse the order, look at the user's guide, section
13.1> > > > -- > Ignacio Diaz-Emparanza > DEPARTAMENTO DE ECONOMÍA
APLICADA III (ECONOMETRÍA Y ESTADÍSTICA) > UPV/EHU> Avda. Lehendakari Aguirre, 83 |
48015 BILBAO> T.: +34 946013732 | F.: +34 946013754>
www.et.bs.ehu.es > >
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