Testing overidentifying SVAR models
Testing overidentifying SVAR models
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!!
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!!
Re: Testing overidentifying SVAR models
Yes. Use DMATRIX=CONCENTRATED if you want to do an LR test. DMATRIX=MARGINALIZED computes the log marginal density, not the log likelihood.
Re: Testing overidentifying SVAR models
Thanks Tom!