Model selection in nonstationary VAR

classic Classic list List threaded Threaded
3 messages Options
M M
Reply | Threaded
Open this post in threaded view
|

Model selection in nonstationary VAR

M M
Folks,
Is there any implementation available in R for the simultaneous selection of lag order and rank of a nonstationary VAR as described in Chao & Phillips (1999): Model selection in partially nonstationary vector autoregressive processes with reduced rank structure, J. Econ. (91).
Or any other systematic procedure for the consistent selection of lag order and cointegration rank?
I understand that the usual procedure of first selecting the lag order (by AIC, etc.) and then the rank (by Johansen) can result in misspecification.
Thanks,
Murali    
        [[alternative HTML version deleted]]

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Reply | Threaded
Open this post in threaded view
|

Re: Model selection in nonstationary VAR

Arun.stat
which method in statistics is completely free from model misspecification?

Thanks and regards,
_____________________________________________________

Arun Kumar Saha, FRM
QUANTITATIVE RISK AND HEDGE CONSULTING SPECIALIST
Visit me at: http://in.linkedin.com/in/ArunFRM
_____________________________________________________

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Reply | Threaded
Open this post in threaded view
|

Re: Model selection in nonstationary VAR

Uwe Ligges-3


On 23.02.2013 19:33, Arun Kumar Saha wrote:
> which method in statistics is completely free from model misspecification?

The data.

Uwe Ligges

>
> Thanks and regards,
> _____________________________________________________
>
> Arun Kumar Saha, FRM
> QUANTITATIVE RISK AND HEDGE CONSULTING SPECIALIST
> Visit me at: http://in.linkedin.com/in/ArunFRM
> _____________________________________________________
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.