how to deal with a state-space model with kalman fliter

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how to deal with a state-space model with kalman fliter

Postby ahuca2008 » Mon Jun 13, 2016 5:23 am

Dear all:
I built a very simple DSGE model with 3 equation ,and transform the model to a LRE model . I solve the LRE model with BK method and then I got a state space model just as x(t)=A*x(t-1)+B*z(t). I want to do the bayesian estimate . However as I know , before the bayesian estimate, we must get the maximum likelihood function of the state-space. My question is that how can I get the maximum likelihood function of the state-space by using the kalman fliter? Can I find the code in dynare?
I know dynare can do it with just a command and I want to know more details about it .thank you .
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Re: how to deal with a state-space model with kalman fliter

Postby jpfeifer » Fri Jun 17, 2016 5:40 pm

If you want to program Bayesian estimation from scratch, using Dynare's routines for this is not ideal. Have a look at Schmitt-Grohé/Uribe's codes for "What's news in business cycles".
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Johannes Pfeifer
University of Cologne
https://sites.google.com/site/pfeiferecon/
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