Bayesian IRF

This forum is closed. You can read the posts but cannot write. We have migrated the forum to a new location where you will have to reset your password.
Forum rules
This forum is closed. You can read the posts but cannot write. We have migrated the forum to a new location (https://forum.dynare.org) where you will have to reset your password.

Bayesian IRF

Postby viking76 » Fri Apr 27, 2012 7:56 am

Dear Dynare users,

retrieving the posterior IRFs, through the command "oo_.PosteriorIRF.dsge", you can get the mean, median, the variance, the confidence interval for the mean, and the a number of distribution on which they are computed. In particular, by writing "oo_.PosteriorIRF.dsge.Distribution" you can get directly these different IRFs, obtained from different draws of the parameters.
My question is the following: Why are these IRFs always 9? Why not a higher number, which seems to me more appropriate? Thanks

Adrian
viking76
 
Posts: 8
Joined: Sun Apr 22, 2012 10:16 pm

Re: Bayesian IRF

Postby jpfeifer » Tue May 01, 2012 3:14 pm

What do you mean with
Why are these IRFs always 9? Why not a higher number, which seems to me more appropriate?

Also, could you post the mod and data-file?
------------
Johannes Pfeifer
University of Cologne
https://sites.google.com/site/pfeiferecon/
jpfeifer
 
Posts: 6940
Joined: Sun Feb 21, 2010 4:02 pm
Location: Cologne, Germany

Re: Bayesian IRF

Postby viking76 » Mon May 14, 2012 3:59 pm

Thanks jpfeifer for your reply,

it's not a problem of a specific model. After the estimation, if you write "oo_.PosteriorIRF.dsge.Distribution", you will always get nine series, that I think are nine posterior IRFs obtained by drawing nine times from the posterior distribution. It's a fact that emerges whatever is the model estimated. Thanks for your attention

Adrian
viking76
 
Posts: 8
Joined: Sun Apr 22, 2012 10:16 pm


Return to Dynare help

Who is online

Users browsing this forum: No registered users and 5 guests