Testing overidentifying SVAR models

Questions and discussions on Vector Autoregressions

Testing overidentifying SVAR models

Postby bonilla » Tue Jan 22, 2013 5:55 pm

Hello,

I used montesvar.rpf procedure to estimate an overidentified SVAR (nvar=7 and nfree=20). I was wondering if it is possible to obtain the likelihood ratio test for the overidentified restrictions from the procedure. In fact, when using DMATRIX=MARGINALIZED, as in montesvar.rpf, we do not obtain the log likelihood restricted and unrestricted, which are neccesary for the likelihood ratio test. I think that the aswer is NO but, could I use DMATRIX=CONCENTRATED in order to get what I need without jeopardize the bayesian estimation? should I test my overindentified restriction separately?

Thanks a lot for your advices!!
bonilla
 
Posts: 8
Joined: Wed Aug 01, 2012 10:12 am

Re: Testing overidentifying SVAR models

Postby TomDoan » Tue Jan 22, 2013 9:40 pm

Yes. Use DMATRIX=CONCENTRATED if you want to do an LR test. DMATRIX=MARGINALIZED computes the log marginal density, not the log likelihood.
TomDoan
 
Posts: 2717
Joined: Wed Nov 01, 2006 5:36 pm

Re: Testing overidentifying SVAR models

Postby bonilla » Wed Jan 23, 2013 4:59 am

Thanks Tom!
bonilla
 
Posts: 8
Joined: Wed Aug 01, 2012 10:12 am


Return to VARs (Vector Autoregression Models)

Who is online

Users browsing this forum: Google [Bot] and 1 guest