Bayesian estimation of open economy model

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Bayesian estimation of open economy model

Postby padmas » Fri Mar 18, 2016 7:12 pm

I am a new user of Dynare and this may be a very basic question. I am estimating an open economy model based on Gali and Monacelli (2005) and Justiniano and Preston (2010). I get the following error from model_diagnostics. I have checked my equations a few times and it is consistent with what has been provided. If anybody could give me more insight into my error, I would be very grateful. Thanks!

model_diagnostic: the Jacobian of the static model is singular
there is 1 colinear relationships between the variables and the equations
Colinear variables:
ner
Colinear equations
1 2 3 4 5 7 8 9 10 11 12 13 14 15 16 17 18

The presence of a singularity problem typically indicates that there is one
redundant equation entered in the model block, while another non-redundant equation
is missing. The problem often derives from Walras Law.
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Re: Bayesian estimation of open economy model

Postby jpfeifer » Sat Mar 19, 2016 1:13 pm

In more recent versions the message actually is:
MODEL_DIAGNOSTICS: The singularity seems to be (partly) caused by the presence of a unit root
MODEL_DIAGNOSTICS: as the absolute value of one eigenvalue is in the range of +-1e-6 to 1.
MODEL_DIAGNOSTICS: If the model is actually supposed to feature unit root behavior, such a warning is expected,
MODEL_DIAGNOSTICS: but you should nevertheless check whether there is an additional singularity problem.
MODEL_DIAGNOSTICS: The presence of a singularity problem typically indicates that there is one
MODEL_DIAGNOSTICS: redundant equation entered in the model block, while another non-redundant equation
MODEL_DIAGNOSTICS: is missing. The problem often derives from Walras Law.


The variable ner has a unit root, giving rise to the message. But this should here be nothing to worry about.
------------
Johannes Pfeifer
University of Cologne
https://sites.google.com/site/pfeiferecon/
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Re: Bayesian estimation of open economy model

Postby padmas » Sat Mar 19, 2016 7:05 pm

Thank you very much for this!
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