## Search found 14 matches

Mon May 23, 2011 2:16 pm
Forum: Estimation
Topic: Markov switching model
Replies: 30
Views: 40942

### Re: Markov switching model

Hello world, Just to keep the subject going. I have one question about the fitted and actual values for a dependent variable (say y) . I have found that the fitted y fits PERFECTLY the actual y. Using alternative starting values (maximum likelihood, grid search,ect...), the fit is still perfect. I s...
Thu Aug 05, 2010 8:36 am
Forum: Estimation
Topic: Kalman Filter estimation
Replies: 25
Views: 7743

### Re: Kalman Filter estimation

I used to specify the variances. When i don't, I have the same error than you.
Put it just before the specification of your state space, like this

.
.
.
Thu Aug 05, 2010 8:28 am
Forum: Estimation
Topic: Kalman Filter estimation
Replies: 25
Views: 7743

### Re: Kalman Filter estimation

Give starting value to variances by adding something like
...

Hope it helps,
A.
Thu Aug 05, 2010 8:07 am
Forum: Estimation
Topic: Kalman Filter estimation
Replies: 25
Views: 7743

### Re: Kalman Filter estimation

Could you post the workfile?
Thu Aug 05, 2010 8:01 am
Forum: Estimation
Topic: Kalman Filter estimation
Replies: 25
Views: 7743

### Re: Kalman Filter estimation

Make sure you do not press twice the "_" in defining the variable.
Check this and tell us!
A.
Thu Aug 05, 2010 7:49 am
Forum: Estimation
Topic: Kalman Filter estimation
Replies: 25
Views: 7743

### Re: Kalman Filter estimation

Hi,
Could you show us the code?
Wed Aug 04, 2010 2:11 pm
Forum: Estimation
Topic: sspace with error in the states
Replies: 9
Views: 4414

### Re: sspace with error in the states

Ok, thanks. But when I do this, I get the following message:' Signal variables are not allowed in state equations'. Here is the complete model: sspace ss1 ss1.append @signal epi = epistate + [var=c(5)] ss1.append @state epistate = c(6)*z1 + c(7)*z(2) +[var=c(8)] ss1.append @signal pid = sv1*epistate...
Wed Aug 04, 2010 12:52 pm
Forum: Estimation
Topic: sspace with error in the states
Replies: 9
Views: 4414

### Re: sspace with error in the states

Hi Startz, Thanks for the reply. I am not sure I understand well what you mean. Here what I understand (tell me if I am wrong) Your last point suggests that the model is estimated according to a two-step approach. In the first step, I have to estimate @signal epi = epistate + [var=c(5)] @state epist...
Tue Aug 03, 2010 5:56 pm
Forum: Estimation
Topic: sspace with error in the states
Replies: 9
Views: 4414

### Re: sspace with error in the states

Hi Startz, thank you. Well, I didn't specify the instrumental variables since I didn't know how to do it.
A.
Tue Aug 03, 2010 4:05 pm
Forum: Estimation
Topic: sspace with error in the states
Replies: 9
Views: 4414

### Re: sspace with error in the states

Hello, Actually, my problem seems a little bit complicated. In my the state space representation, the "signal" equation contains at least one endogenous regressor, named "epi" (which is pid(1)). I think, in order to consistently estimate the model with the Kalman filter tool, one...
Tue Aug 03, 2010 6:04 am
Forum: Estimation
Topic: Putting limits on estimated coefficient values
Replies: 38
Views: 50492

### Re: Putting limits on estimated coefficient values

Great! Thanks
A.
Tue Aug 03, 2010 6:01 am
Forum: Estimation
Topic: sspace with error in the states
Replies: 9
Views: 4414

### Re: sspace with error in the states

Many thanks Trubador. That was a problem of starting values, effectively. I'm trying to fix this.
Aqua!
Mon Aug 02, 2010 3:39 pm
Forum: Estimation
Topic: Putting limits on estimated coefficient values
Replies: 38
Views: 50492

### Re: Putting limits on estimated coefficient values

Very good 'hack'. One question: when a constraint is put on a parameter, say c(2), the standard errror Eviews returns is for c(2) or the restriction on c(2)?
Thanks a lot,
Aqua!
Mon Aug 02, 2010 8:10 am
Forum: Estimation
Topic: sspace with error in the states
Replies: 9
Views: 4414

### sspace with error in the states

Dear Eviews Users, I have to estimate a time-varying parameter model, where the states equation contain error. Say, my model is sspace ss1 ss1.append @signal pid = sv1*epi + sv2*pid(-1) + sv3*mchatqt + [var=(c(1))] ss1c.append @state sv1 = sv1(-1) + [var=(c(2))] ss1.append @state sv2 = sv2(-1) + [va...