Kalman filter starting value

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Grace
Posts: 1
Joined: Tue Sep 03, 2013 2:55 pm

Kalman filter starting value

Postby Grace » Tue Sep 03, 2013 3:15 pm

Hi, everyone!

I am doing my thesis, and now meet a problem. When i run this model, I cannot get a good result. I guess there are something wrong with the starting value but I don't know how to fix it. Please help me. Thank you sooooo much! :lol:

@signal s = sv1*p + sv2*r + sv3*rpi + sv4*di + [var = exp(c(1))]

@state sv1 = sv1(-1) + [var = exp(c(2))]
@state sv2 = sv2(-1) + [var = exp(c(3))]
@state sv3 = sv3(-1) + [var = exp(c(4))]
@state sv4 = sv4(-1) + [var = exp(c(5))]


Sspace: UNTITLED
Method: Maximum likelihood (Marquardt)
Date: 09/04/13 Time: 00:04
Sample: 1998M04 2013M03
Included observations: 180
Convergence achieved after 1 iteration
WARNING: Singular covariance - coefficients are not unique

Coefficient Std. Error z-Statistic Prob.

C(1) -4.006168 NA NA NA
C(2) -9.980355 NA NA NA
C(3) -107.6388 NA NA NA
C(4) -51.74532 NA NA NA
C(5) -46.13349 NA NA NA

Final State Root MSE z-Statistic Prob.

SV1 2.432942 0.336807 7.223541 0.0000
SV2 -0.022845 0.377897 -0.060452 0.9518
SV3 -2.152555 0.632355 -3.404031 0.0007
SV4 0.263428 0.263323 1.000396 0.3171

Log likelihood 36.20017 Akaike info criterion -0.346669
Parameters 5 Schwarz criterion -0.257975
Diffuse priors 4 Hannan-Quinn criter. -0.310707

Here attached my data.
Attachments
data.wf1
(21.08 KiB) Downloaded 297 times

shm83
Posts: 35
Joined: Tue Sep 10, 2013 5:00 am

Re: Kalman filter starting value

Postby shm83 » Mon Oct 07, 2013 2:58 am

Have you tried with different starting values in the covariance matrix?


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