Impulse response identification in DSGE models
Dynamic stochastic general equilibrium (DSGE) models have become a widely used tool for policymakers. This paper modifies the global identification theory used for structural vector autoregressions, and applies it to DSGE models. We use this theory to check whether a DSGE model structure allows for unique estimates of structural shocks and their dynamic effects. The potential cost of a lack of identification for policy oriented models along that specific dimension is huge, as the same model can generate a number of contrasting yet theoretically and empirically justifiable recommendations. The problem and methodology are illustrated using a simple New Keynesian business cycle model.
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- Fabio Canova & Luca Sala, 2007.
"Back to square one: identification issues in DSGE models,"
Banco de Espa�a Working Papers
0715, Banco de Espa�a.
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- Canova, Fabio & Sala, Luca, 2006. "Back to square one: identification issues in DSGE models," Working Paper Series 0583, European Central Bank.
- Fabio Canova & Luca Sala, 2006. "Back to Square One: Identification Issues in DSGE Models," Working Papers 303, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Canova, Fabio & Sala, Luca, 2009. "Back to square one: identification issues in DSGE models," CEPR Discussion Papers 7234, C.E.P.R. Discussion Papers.
- Fabio Canova & Luca Sala, 2005. "Back to square one: Identification issues in DSGE models," Economics Working Papers 927, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2006.
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"Local identification in DSGE models,"
Journal of Monetary Economics,
Elsevier, vol. 57(2), pages 189-202, March.
- 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.
- Juan F. Rubio-Ramírez & Daniel F.Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," Working Paper 2008-18, Federal Reserve Bank of Atlanta.
- Iskrev, Nikolay, 2008. "Evaluating the information matrix in linearized DSGE models," Economics Letters, Elsevier, vol. 99(3), pages 607-610, June.
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