unrestricted VAR: possible to impose another constant value when forecasting?

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maragloria
Posts: 88
Joined: Tue Jun 29, 2010 7:09 am

unrestricted VAR: possible to impose another constant value when forecasting?

Postby maragloria » Mon Nov 18, 2019 1:25 pm

Hi there,

I would like to know if it would be possible to change the constant in an unrestricted VAR to a different value prior to performing (dynamic) forecasts?
No other coefficient estimates need to change besides the constant.

Many thanks,

Mara

EViews Matt
EViews Developer
Posts: 430
Joined: Thu Apr 25, 2013 7:48 pm

Re: unrestricted VAR: possible to impose another constant value when forecasting?

Postby EViews Matt » Mon Nov 18, 2019 3:10 pm

Hello,

The only way that occurs to me is to 1) create a model object from the estimated VAR, 2) break the link between the model and the VAR, 3) edit the individual equations within the model to replace the constant terms as you see fit, and finally 4) perform the "forecast" as a normal model solve.

maragloria
Posts: 88
Joined: Tue Jun 29, 2010 7:09 am

Re: unrestricted VAR: possible to impose another constant value when forecasting?

Postby maragloria » Tue Nov 19, 2019 8:46 am

Hello Matt,

Thanks for your prompt reply. Is there a model command I could use to overwrite the constant value? I'll be performing rolling regressions, and I'll like to program the 4 steps you suggest.

Thanks again,

Mara

EViews Matt
EViews Developer
Posts: 430
Joined: Thu Apr 25, 2013 7:48 pm

Re: unrestricted VAR: possible to impose another constant value when forecasting?

Postby EViews Matt » Tue Nov 19, 2019 10:05 am

Unfortunately, there is not. At that point, the model will contain text specifications for each equation, so you'll be forced to parse each equation as a string and replace the constant term. At least the constant term should always be the very last term, which will make the parsing easier.

maragloria
Posts: 88
Joined: Tue Jun 29, 2010 7:09 am

Re: unrestricted VAR: possible to impose another constant value when forecasting?

Postby maragloria » Tue Nov 19, 2019 11:51 am

Thank you! That will do it.


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