Bayesian Estimation of DSGE Models: Is the Workhorse Model Identified?
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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- Andrle, Michal, 2010. "A note on identification patterns in DSGE models," Working Paper Series 1235, European Central Bank.
- Nikolay Iskrev, 2010. "Parameter identification in Dynamic Economic models," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
- Agostino Consolo & Carlo A. Favero & Alessia Paccagnini, 2009.
"On the statistical identification of DSGE models,"
Open Access publications
10197/7586, School of Economics, University College Dublin.
- Agostino Consolo & Carlo A. Favero & Alessia Paccagnini, 2007. "On the Statistical Identification of DSGE Models," Working Papers 324, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Consolo, Agostino & Favero, Carlo A. & Paccagnini, Alessia, 2009. "On the Statistical Identification of DSGE Models," CEPR Discussion Papers 7176, C.E.P.R. Discussion Papers.
- Iskrev, Nikolay, 2010.
"Local identification in DSGE models,"
Journal of Monetary Economics,
Elsevier, vol. 57(2), pages 189-202, March.
- Marco Ratto, 2008. "Analysing DSGE Models with Global Sensitivity Analysis," Computational Economics, Society for Computational Economics, vol. 31(2), pages 115-139, March.
- 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.
- Iskrev, Nikolay, 2008. "Evaluating the information matrix in linearized DSGE models," Economics Letters, Elsevier, vol. 99(3), pages 607-610, June.
- Sims, Christopher A, 2002.
"Solving Linear Rational Expectations Models,"
Society for Computational Economics, vol. 20(1-2), pages 1-20, October.
- Christopher Sims, 2001. "Matlab Code for Solving Linear Rational Expectations Models," QM&RBC Codes 11, Quantitative Macroeconomics & Real Business Cycles.
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