Interpreting Identification Analysis graph

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Interpreting Identification Analysis graph

Postby sujee2sujee » Wed Jul 02, 2014 6:11 am

Hi,

I am estimating a medium scale SOE model and use identification analysis. All my parameters are identified. I am interested in interpreting the graphs to see whether that gives any information. Also, I used the default option of prior mean to check the identification. What is the difference in using posterior mean instead? My identification graphs is attached ( I couldn't open .eps file. This is MS word approximation of that file. Any idea to open .eps file directly?)

Thank you in advance. I have been improving my knowledge with the answers given in the forum. Thanks for all active members.

Sujee
Attachments
indent.pdf
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Re: Interpreting Identification Analysis graph

Postby costa » Wed Jul 02, 2014 6:42 pm

This paper explains the identification command:
https://www.ifk-cfs.de/fileadmin/downlo ... fFinal.pdf

Superficially and as far as I know, the more to the right in the graph, the more identified a parameter is.
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Re: Interpreting Identification Analysis graph

Postby jpfeifer » Thu Jul 03, 2014 10:26 am

Also, see my guide Pfeifer (2014): "An Introduction to Graphs in Dynare" at https://sites.google.com/site/pfeiferecon/Pfeifer_2014_Dynare_graphs.pdf
------------
Johannes Pfeifer
University of Cologne
https://sites.google.com/site/pfeiferecon/
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Re: Interpreting Identification Analysis graph

Postby sujee2sujee » Sat Jul 05, 2014 12:44 am

Thank you very much for both of you. Jpfeifer, your contribution through both of your latest papers are amazing.

Sujee
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