Hello everyone,
I was wondering if Eviews can handle State Space models where the signal equation has autoregressive errors.
Specifically, I have in mind a model like the one attached in the picture. [This is from Alan Clayton Matthews and James Stock's paper in the Journal of Economic and Social Measurement, 1999, An Application of the Stock/Watson methodology to the Massachusetts economy].
Here x(t) are the observed coincident variables (vector), so that equations in (1) are the signal equations. Variable s(t) is the state variable.
As you see in (2), errors are autoregressive. Equation (3) is the state variable equation.
Looking at Chapter 35 of the UG II cannot find a specific reference (whether yes or no).
Not sure if this was raised before in the Forum.
Thanks,
Manfred
State-space: signal equations with autoregressive errors
Moderators: EViews Gareth, EViews Moderator
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: State-space: signal equations with autoregressive errors
You handle this by treating mu_t as another state variable.
Re: State-space: signal equations with autoregressive errors
Startz, thanks, it is dawning on me that I have to learn to think outside the box.
Will try that.
Manfred
Will try that.
Manfred
Who is online
Users browsing this forum: No registered users and 1 guest
