no distribution in the posteriors

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no distribution in the posteriors

Postby rd.hernandez26 » Wed Mar 26, 2014 5:05 pm

Hi everybody,

I'm estimating a new-keynesian model with a production sector of monopolistically competitive firms that combine raw materials, capital, and labor to produce output. I also have importers of consumption and investment goods, and importers of raw materials, all of which have market power. At the same time, households offer differentiated labour in a monopolistically competitive labour market, and thus choose the nominal wage. I have paremeters of calvo that indicate the percent of firms/households that can't adjust their prices/wages at each moment t.
When I try to estimate these parameters, I get the following posteriors (see attached file). Epsq and epsw, the parameters of price stickiness associated to output prices and wages, do not have a posterior distribution, but only a value, which coincides with the initial value I give to them in the estimated_params block. I have beta_pdf distributions for these parameters, but when I try to use an uniform between 0 and 1, the estimation fails. (I'm using the Metropolis-Hastings algortithm)

Any ideas on how to procede or what might be deriving these results?

Thank you very much,

Rafael
Attachments
posteriors_mymodel.pdf
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rd.hernandez26
 
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Joined: Wed Mar 26, 2014 3:46 pm

Re: no distribution in the posteriors

Postby jpfeifer » Fri Mar 28, 2014 8:13 am

If your model implementation is correct, this indicates problems with the jumping distribution of the MCMC. Try a different mode_compute. Also try using the option
Code: Select all
mcmc_jumping_covariance=prior_variance

or
Code: Select all
mcmc_jumping_covariance=identity_matrix

which is available in Dynare 4.4.
------------
Johannes Pfeifer
University of Cologne
https://sites.google.com/site/pfeiferecon/
jpfeifer
 
Posts: 6940
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Location: Cologne, Germany

Re: no distribution in the posteriors

Postby rd.hernandez26 » Tue Apr 01, 2014 10:46 pm

Hi Prof. Pfeifer,

Thank you very much for your reply. I tried both the prior_variance and the identity_matrix for the MCMC, and neither worked out. I also tried with different mode_computes and the estimation is even worse. I tried using the option mode_check and this is what I get (see attached file) . I am a bit confused with the red points, does anybody know what do they mean? Is this a signal of something wrong in my model or identification problems in the parameters? I would really appreciate if someone could guide me on the next step to tackle these problems.

Thanks again,

Rafael
Attachments
mode_check_epsilons.pdf
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rd.hernandez26
 
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Re: no distribution in the posteriors

Postby jpfeifer » Wed Apr 02, 2014 8:09 am

I need the mod-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


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