|
Dear R community,
I'm starting to learn the MS-VAR methodology and I would like to know what I need to download (e.g. packages) to make MS-VAR estimations using R. Best, Henrique C. de Andrade Doutorando em Economia Aplicada Universidade Federal do Rio Grande do Sul www.ufrgs.br/ppge [[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. |
|
Dear R community,
I'm starting to learn the MS-VAR methodology and I would like to know what I need to download (e.g. packages) to make MS-VAR estimations using R. Best, Henrique C. de Andrade Doutorando em Economia Aplicada Universidade Federal do Rio Grande do Sul www.ufrgs.br/ppge ______________________________________________ [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. |
|
In reply to this post by Henrique Andrade
Dear Henrique,
I think that R is not actually the best statistical tool to model MS-VAR. Indeed, the package msvar only allow a simple specification of the model. One tool I have ever used is on Ox with the package MSVAR built by Krolzig. This package allow a large variety of model specifications, you can choose the number of regimes, the regime dependence etc. You could find more details on his site: http://www.krolzig.co.uk/index.html?content=/msvar.html However, it would be of great interest to develop a package on R. Maybe soon... Best regards, Sandrine Lunven Economist TAC financial www.tac-financial.com Dear R community, I'm starting to learn the MS-VAR methodology and I would like to know what I need to download (e.g. packages) to make MS-VAR estimations using R. Best, Henrique C. de Andrade Doutorando em Economia Aplicada Universidade Federal do Rio Grande do Sul www.ufrgs.br/ppge [[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. |
|
Actually there aren't by now so many packages for markov regime switching models in R but I just saw that at the userR 2009 conference a talk will be held about it, maybe that can help you, though the authors don't mention whether they use a existing package or developed new functionalities.
http://www2.agrocampus-ouest.fr/math/useR-2009/abstracts/pdf/Fontdecaba_SanchezEspigares_Munoz.pdf Matthieu Dear Henrique, I think that R is not actually the best statistical tool to model MS-VAR. Indeed, the package msvar only allow a simple specification of the model. One tool I have ever used is on Ox with the package MSVAR built by Krolzig. This package allow a large variety of model specifications, you can choose the number of regimes, the regime dependence etc. You could find more details on his site: http://www.krolzig.co.uk/index.html?content=/msvar.html However, it would be of great interest to develop a package on R. Maybe soon... Best regards, Sandrine Lunven Economist TAC financial www.tac-financial.com Dear R community, I'm starting to learn the MS-VAR methodology and I would like to know what I need to download (e.g. packages) to make MS-VAR estimations using R. Best, Henrique C. de Andrade Doutorando em Economia Aplicada Universidade Federal do Rio Grande do Sul www.ufrgs.br/ppge [[alternative HTML version deleted]]
|
|
In reply to this post by Sandrine LUNVEN
Can u help me how can i get impulse response function for msvar models in r programme???
thanks lots of Best, Tayfur |
|
Try the package vars.
On Wed, Aug 31, 2011 at 4:17 PM, Tayfur <[hidden email]> wrote: > Can u help me how can i get impulse response function for msvar models in r > programme??? > thanks lots of > Best, > Tayfur > > -- > View this message in context: > http://r.789695.n4.nabble.com/MS-VAR-Introduction-tp896008p3782271.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > [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. > [[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. |
| Powered by Nabble | Edit this page |
