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Issues in Adopting DSGE Models for Use in the Policy Process

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Author Info
Martin Fukac
Adrian Pagan

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Abstract

Our discussion is structured by three concerns - model design, matching the data and operational requirements. The paper begins with a general discussion of the structure of dynamic stochastic general equilibrium (DSGE) models where we investigate issues like (i) the type of restrictions being imposed by DSGE models upon system dynamics, (ii) the implication these models would have for 'location parameters', viz. growth rates, and (iii) whether these models can track the long-run movements in variables as well as matching dynamic adjustment. The paper further looks at the types of models that have been constructed in central banks for macro policy analysis. We distinguish four generations of these and detail how the emerging current generation, which are often referred to as DSGE models, differs from the previous generations. The last part of the paper is devoted to a variety of topics involving estimation and evaluation of DSGE models.

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File URL: http://www.cnb.cz/en/research/research_publications/cnb_wp/download/cnbwp_2006_06.pdf
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Paper provided by Czech National Bank, Research Department in its series Working Papers with number 2006/6.

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Date of creation: Nov 2006
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Handle: RePEc:cnb:wpaper:2006/6

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Related research
Keywords: DSGE model; Bayesian estimation; model evaluation.;

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Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing

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References listed on IDEAS
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.:
  1. Canova, Fabio, 1994. "Statistical Inference in Calibrated Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(S), pages S123-44, Suppl. De. [Downloadable!] (restricted)
  2. Coletti, D. & Hunt, B. & Rose, D. & Tetlow, R., 1996. "The Bank of Canada's New Quarterly Projection Model. Part 3 , the Dynamic Model : QPM," Technical Reports 75, Bank of Canada. [Downloadable!]
  3. Robert Amano1 & Kim McPhail & Hope Pioro & Andrew Rennison, 2002. "Evaluating the Quarterly Projection Model: A Preliminary Investigation," Working Papers 02-20, Bank of Canada. [Downloadable!]
  4. Kodde, D A & Palm, Franz C & Pfann, G A, 1990. "Asymptotic Least-Squares Estimation Efficiency Considerations and Applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(3), pages 229-43, July-Sept. [Downloadable!] (restricted)
  5. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, 09. [Downloadable!] (restricted)
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  6. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670. [Downloadable!]
  7. Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895.
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Cited by:
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  1. Giorgio Fagiolo & Andrea Roventini, 2008. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," LEM Papers Series 2008/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
    Other versions:
  2. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2008. "Schumpeter Meeting Keynes: A Policy-Friendly Model of Endogenous Growth and Business Cycles," LEM Papers Series 2008/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
    Other versions:
  3. Philip Liu, 2007. "Stabilizing The Australian Business Cycle: Good Luck Or Good Policy?," CAMA Working Papers 2007-24, Australian National University, Centre for Applied Macroeconomic Analysis. [Downloadable!]
  4. Martin Cihák & Sofia Bauducco & Ales Bulir, 2008. "Taylor Rule Under Financial Instability," IMF Working Papers 08/18, International Monetary Fund. [Downloadable!]
  5. Carlo A. Favero, 2007. "The Econometrics of Monetary Policy: an Overview," Working Papers 329, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University. [Downloadable!]
  6. Andrés González Gómez & Lavan Mahadeva & Diego Rodríguez & Luis Eduardo Rojas, . "Monetary Policy Forecasting in a DSGE Model with Data that is Uncertain, Unbalanced and About the Future," Borradores de Economia 559, Banco de la Republica de Colombia. [Downloadable!]
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  7. Kirdan Lees & Troy Matheson & Christie Smith, 2007. "Open economy DSGE-VAR forecasting and policy analysis - head to head with the RBNZ published forecasts," Reserve Bank of New Zealand Discussion Paper Series DP2007/01, Reserve Bank of New Zealand. [Downloadable!]
    Other versions:
  8. Roger E.A. Farmer & Daniel F. Waggoner & Tao Zha, 2008. "Minimal state variable solutions to Markov-switching rational expectations models," Working Paper 2008-23, Federal Reserve Bank of Atlanta. [Downloadable!]
  9. Harvey, A., 2008. "Modeling the Phillips curve with unobserved components," Cambridge Working Papers in Economics 0805, Faculty of Economics, University of Cambridge. [Downloadable!]
  10. Sofia Bauducco & Ales Bulir & Martin Cihak, 2008. "Monetary policy rules with financial instability," Working Papers 2008/8, Czech National Bank, Research Department. [Downloadable!]
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