Super add factors?

For technical support, tips and tricks, suggestions, or any other information regarding the EViews model object.

Moderators: EViews Gareth, EViews Moderator

tbui
Posts: 18
Joined: Tue Dec 21, 2010 3:26 pm

Super add factors?

Postby tbui » Wed Oct 23, 2013 1:14 pm

Hi gurus,

Is there any option or plan to adopt the use of super-addfactors in the sense like this:
- I want to impose a 1% increase in GDP by add factoring
- GDP is sum of C, I, G, NX, so the imposing 1% increase in GDP means imposing 1% increase in all of its components.

I think it's a tricky one if the model has layers of identities (i.e. C is another identity), however an option like that would be nice.

Thanks,

T

EViews Chris
EViews Developer
Posts: 161
Joined: Wed Sep 17, 2008 10:39 am

Re: Super add factors?

Postby EViews Chris » Thu Oct 24, 2013 11:09 am

I'm afraid there's no inbuilt support for an operation like that.

I do see what you're getting at though - you would like the add factor adjustments to end up in equations that contain errors rather than on identities (which don't).

There's quite a few details that would have to be sorted out though. For example - what happens if the identity is non-linear (in which case increasing each input proportionally would not increase the output by the same proportion)? Your question about layers of identities is also a good one.

For any particular identity it shouldn't be too hard to do this yourself 'by hand'.

1) exclude C, I G, NX
2) bump up each of their values by 1%
3) solve the model
4) reinclude C, I, G and NX one by one generating add factors as you go.

But for the moment you'd have to do this on an ad hoc basis for the particular identities/variables.


Return to “Models”

Who is online

Users browsing this forum: No registered users and 17 guests