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Comparing dynamic equilibrium economies to data Author info | Abstract | Publisher info | Download info | Related research | Statistics Jesus Fernández-Villaverde
Juan F. Rubio-Ramírez
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This paper studies the properties of the Bayesian approach to estimation and comparison of dynamic equilibrium economies. Both tasks can be performed even if the models are nonnested, misspecified, and nonlinear. First, the authors show that Bayesian methods have a classical interpretation: asymptotically the parameter point estimates converge to their pseudotrue values, and the best model under the Kullback-Leibler will have the highest posterior probability. Second, they illustrate the strong small sample behavior of the approach using a well-known application: the U.S. cattle cycle. Bayesian estimates outperform maximum likelihood results, and the proposed model is easily compared with a set of BVARs.
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Paper provided by Federal Reserve Bank of Atlanta in its series Working Paper with number
2001-23.
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Date of creation: 2001Date of revision:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
S. Boragan Aruoba & Jesus Fernandez-Villaverde & Juan Francisco Rubio-Ramirez, 2003.
"Comparing solution methods for dynamic equilibrium economies ,"
Working Paper
2003-27, Federal Reserve Bank of Atlanta.
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S. B. Aruoba & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2005.
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