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Bayesian Estimation of DSGE models: Is the Workhorse Model Identified?

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  • Evren Caglar

    ()

  • Jagjit S. Chadha

    ()

  • Katsuyuki Shibayama

    ()

Abstract

Koop, Pesaran and Smith (2011) suggest a simple diagnostic indicator for the Bayesian estimation of the parameters of a DSGE model. They show that, if a parameter is well identified, the precision of the posterior should improve as the (artificial) data size T increases, and the indicator checks the speed at which precision improves. It does not require any additional programming; a researcher just needs to generate artificial data and estimate the model with different T. Applying this to Smets and Wouters'(2007) medium size US model, we find that while exogenous shock processes are well identified, most of the parameters in the structural equations are not.

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File URL: ftp://ftp.ukc.ac.uk/pub/ejr/RePEc/ukc/ukcedp/1125.pdf
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Bibliographic Info

Paper provided by Department of Economics, University of Kent in its series Studies in Economics with number 1125.

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Date of creation: Nov 2011
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Handle: RePEc:ukc:ukcedp:1125

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Postal: Department of Economics, University of Kent at Canterbury, Canterbury, Kent, CT2 7NP
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Keywords: Bayesian Estimation; Dynamic stochastic general equilibrium models; Identification;

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  1. Iskrev, Nikolay, 2010. "Local identification in DSGE models," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 189-202, March.
  2. Marco Ratto & Werner Roeger, 2005. "An estimated open-economy model for the EURO area," Computing in Economics and Finance 2005 84, Society for Computational Economics.
  3. Marco Ratto, 2008. "Analysing DSGE Models with Global Sensitivity Analysis," Computational Economics, Society for Computational Economics, vol. 31(2), pages 115-139, March.
  4. Nikolay Iskrev, 2010. "Parameter identification in Dynamic Economic models," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
  5. Iskrev, Nikolay, 2008. "Evaluating the information matrix in linearized DSGE models," Economics Letters, Elsevier, vol. 99(3), pages 607-610, June.
  6. Consolo, Agostino & Favero, Carlo A. & Paccagnini, Alessia, 2009. "On the statistical identification of DSGE models," Journal of Econometrics, Elsevier, vol. 150(1), pages 99-115, May.
  7. Sims, Christopher A, 2002. "Solving Linear Rational Expectations Models," Computational Economics, Society for Computational Economics, vol. 20(1-2), pages 1-20, October.
  8. Andrle, Michal, 2010. "A note on identification patterns in DSGE models," Working Paper Series 1235, European Central Bank.
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Cited by:
  1. Thomai Filippeli & Konstantinos Theodoridis, 2014. "DSGE Priors for BVAR Models," Working Papers 713, Queen Mary, University of London, School of Economics and Finance.
  2. Jean-Bernard Chatelain & Kirsten Ralf, 2014. "Stability and Identification with Optimal Macroprudential Policy Rules," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01018490, HAL.

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