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Solving a incomplete information model with a Kalman Filter

PostPosted: Sat Oct 31, 2015 1:17 am
by amuller
Hi,

I would like to replicate the DSGE model from Andolfatto, Moran and Hendry (please see link below). The main feature of such model is a monetary policy regime subject to both transitory and permanent shocks (which cannot be fully observed by the agents). Agents use a kalman filter to solve this problem.

I am not sure that Dynare would be able to run this kind of model. However, as I am not an experienced user, I would like to hear from you if this impression is right or wrong.

Thanks in advance

http://academic.research.microsoft.com/ ... s-rational

Andre

Re: Solving a incomplete information model with a Kalman Fil

PostPosted: Sat Oct 31, 2015 5:05 pm
by jpfeifer
This can be done in Dynare, but is somewhat involved. Blanchard, L'Huillier, Lorenzoni (2013) have solved something like this with Dynare 3.65. Implementing their model in Dynare 4 is still on my to-do list.
Essentially, you have to append the model by the agent's signal extraction problem and solve for the coefficients of this problem externally, before then passing this back into Dynare via a steady state file. You could try to contact Patrick Hürtgen who has used Dynare 4 as far as I know for Hürtgen (2014); Consumer misperceptions, uncertain fundamentals, and the business cycle (http://www.sciencedirect.com/science/article/pii/S0165188914000177)
Particularly his appendix might be useful.

Re: Solving a incomplete information model with a Kalman Fil

PostPosted: Sun Nov 01, 2015 9:23 pm
by amuller
Thank you for your response Professor Pfeifer. I will follow your suggestions.

Re: Solving a incomplete information model with a Kalman Fil

PostPosted: Mon Nov 16, 2015 3:00 am
by camara_cmb
Dear amuller

Do you have any news over getting the model from Professor Huertgen?
Thanks!

Re: Solving a incomplete information model with a Kalman Fil

PostPosted: Tue Nov 17, 2015 9:28 pm
by amuller
Unfortunately not...