On Identification of Bayesian DSGE Models
AbstractIn recent years there has been increasing concern about the identification of parameters in dynamic stochastic general equilibrium (DSGE) models. Given the structure of DSGE models it may be difficult to determine whether a parameter is identified. For the researcher using Bayesian methods, a lack of identification may not be evident since the posterior of a parameter of interest may differ from its prior even if the parameter is unidentified. We show that this can even be the case even if the priors assumed on the structural parameters are independent. We suggest two Bayesian identification indicators that do not suffer from this difficulty and are relatively easy to compute. The first applies to DSGE models where the parameters can be partitioned into those that are known to be identified and the rest where it is not known whether they are identified. In such cases the marginal posterior of an unidentified parameter will equal the posterior expectation of the prior for that parameter conditional on the identified parameters. The second indicator is more generally applicable and considers the rate at which the posterior precision gets updated as the sample size ( T) is increased. For identified parameters the posterior precision rises with T , whilst for an unidentified parameter its posterior precision may be updated but its rate of update will be slower than T . This result assumes that the identified parameters are -consistent, but similar differential rates of updates for identified and unidentified parameters can be established in the case of super consistent estimators. These results are illustrated by means of simple DSGE models.
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Bibliographic InfoPaper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number 1131.
Date of creation: 30 Mar 2011
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Web page: http://www.econ.cam.ac.uk/index.htm
Other versions of this item:
- Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2011. "On Identification of Bayesian DSGE Models," CESifo Working Paper Series 3423, CESifo Group Munich.
- Koop, Gary & Pesaran, M. Hashem & Smith, Ron P., 2011. "On Identification of Bayesian DSGE Models," IZA Discussion Papers 5638, Institute for the Study of Labor (IZA).
- Koop, Gary & Pesaran, M. Hashem & Smith, Ron P., 2011. "On Identification of Bayesian DSGE Models," SIRE Discussion Papers 2011-18, Scottish Institute for Research in Economics (SIRE).
- Gary Koop & M. Hashem Pesaran & Ron Smith, 2011. "On Identification of Bayesian DSGE Models," Working Papers 1108, University of Strathclyde Business School, Department of Economics.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-06-04 (All new papers)
- NEP-CBA-2011-06-04 (Central Banking)
- NEP-DGE-2011-06-04 (Dynamic General Equilibrium)
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- Frank Schorfheide & Marco Del Negro, 2007.
"Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities),"
2007 Meeting Papers
283, Society for Economic Dynamics.
- Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
- Del Negro, Marco & Schorfheide, Frank, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," CEPR Discussion Papers 6119, C.E.P.R. Discussion Papers.
- Marco Del Negro & Frank Schorfheide, 2008. "Forming Priors for DSGE Models (and How it Affects the Assessment of Nominal Rigidities)," NBER Working Papers 13741, National Bureau of Economic Research, Inc.
- Marco Del Negro & Frank Schorfheide, 2006. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Working Paper 2006-16, Federal Reserve Bank of Atlanta.
- Marco Del Negro & Frank Schorfheide, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Staff Reports 320, Federal Reserve Bank of New York.
- Juan F. Rubio-Ramírez & Daniel F.Waggoner & Tao Zha, 2008.
"Structural vector autoregressions: theory of identification and algorithms for inference,"
2008-18, Federal Reserve Bank of Atlanta.
- Juan F. Rubio-Ram�rez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," Review of Economic Studies, Oxford University Press, vol. 77(2), pages 665-696.
- Pudney, S. E., 1982. "The identification of rational expectations models under structural neutrality," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 117-121, November.
- Pesaran, M. H. & Smith, R. P., 2011.
"Beyond the DSGE straightjacket,"
Cambridge Working Papers in Economics
1138, Faculty of Economics, University of Cambridge.
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