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Bayesian New Neoclassical Synthesis (NNS) Models: Modern Tools for Central Banks

Author

Listed:
  • Frank Smets

    (European Central Bank,)

  • Rafael Wouters

    (National Bank of Belgium,)

Abstract

This paper discusses the advantages of Bayesian New Neoclassical Synthesis models as tools for monetary policy analysis and forecasting. The combination of a sound, micro founded structure with a good probabilistic description of the observed data makes those models suitable for investigating the structural sources of business cycle fluctuations, for analysing optimal monetary policy responses to those developments and for making economic projections conditional on various policy assumptions. The paper gives two examples of such analysis. (JEL: E40, E50, C11) Copyright (c) 2005 The European Economic Association.

Suggested Citation

  • Frank Smets & Rafael Wouters, 2005. "Bayesian New Neoclassical Synthesis (NNS) Models: Modern Tools for Central Banks," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 422-433, 04/05.
  • Handle: RePEc:tpr:jeurec:v:3:y:2005:i:2-3:p:422-433
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    References listed on IDEAS

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    1. Raf Wouters & Frank Smets, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    2. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    3. Leeper, Eric M. & Zha, Tao, 2003. "Modest policy interventions," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1673-1700, November.
    4. Gali, Jordi & Gertler, Mark & Lopez-Salido, J. David, 2001. "European inflation dynamics," European Economic Review, Elsevier, vol. 45(7), pages 1237-1270.
    5. Coenen, Gunter & Levin, Andrew T. & Christoffel, Kai, 2007. "Identifying the influences of nominal and real rigidities in aggregate price-setting behavior," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2439-2466, November.
    6. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, pages 1661-1707.
    7. Jordi Gali Garreta & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations; How Well Does the RBC Model Fit Postwar U.S. Data?," IMF Working Papers 04/234, International Monetary Fund.
    8. Frank Smets & Raf Wouters, 2004. "Forecasting with a Bayesian DSGE Model: An Application to the Euro Area," Journal of Common Market Studies, Wiley Blackwell, vol. 42(4), pages 841-867, November.
    9. Cogley, Timothy & Morozov, Sergei & Sargent, Thomas J., 2005. "Bayesian fan charts for U.K. inflation: Forecasting and sources of uncertainty in an evolving monetary system," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1893-1925, November.
    10. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters,in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
    11. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    12. King, Robert G. & Wolman, Alexander L., 2013. "Inflation Targeting in a St. Louis Model of the 21st Century," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 543-574.
    13. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    14. Jordi Gali Garreta & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations; How Well Does the RBC Model Fit Postwar U.S. Data?," IMF Working Papers 04/234, International Monetary Fund.
    15. DeJong, David N. & Ingram, Beth F. & Whiteman, Charles H., 2000. "A Bayesian approach to dynamic macroeconomics," Journal of Econometrics, Elsevier, vol. 98(2), pages 203-223, October.
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    Citations

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    Cited by:

    1. Ozge Senay, 2008. "Interest Rate Rules And Welfare In Open Economies," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(3), pages 300-329, July.
    2. Galí, Jordi, 2011. "Are central banks' projections meaningful?," Journal of Monetary Economics, Elsevier, vol. 58(6), pages 537-550.
    3. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, Elsevier.
    4. Thepthida Sopraseuth & Jean-Olivier Hairault, 2008. "Fluctuations internationales et dynamique du taux de change," Économie et Prévision, Programme National Persée, vol. 183(2), pages 65-91.
    5. Daly, Hounaida & Smida, Mounir, 2013. "Interaction entre politique monétaire et politique budgétaire:Cas de la Grèce
      [Fiscal and Monetary Policy Interactions : The Greece Case]
      ," MPRA Paper 45931, University Library of Munich, Germany.
    6. Daly, Hounaida & Smida, Mounir, 2013. "La coordination des politiques monétaire et budgétaire: Aperçu théorique
      [Coordination of monetary and fiscal policies: Theoretical Overview]
      ," MPRA Paper 48020, University Library of Munich, Germany.
    7. Carlos C. Bautista, 2009. "An examination of Philippine monetary policy rules," UP School of Economics Discussion Papers 200912, University of the Philippines School of Economics.
    8. Grant Spencer & Ozer Karagedikli, 2006. "Modelling for monetary policy: the New Zealand experience," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 69, pages 1-8., June.
    9. Michel Juillard & Florian Pelgrin, 2007. "Computing Optimal Policy in a Timeless-Perspective: An Application to a Small-Open Economy," Staff Working Papers 07-32, Bank of Canada.
    10. Pelin Ilbas, 2012. "Revealing the preferences of the US Federal Reserve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 440-473, April.
    11. Jordi Gali, 2008. "Are Central Banks' Projections Meaningful?," 2008 Meeting Papers 174, Society for Economic Dynamics.
    12. Meenagh, David & Minford, Patrick & Oyekola, Olayinka, 2015. "Energy Business Cycles," Cardiff Economics Working Papers E2015/19, Cardiff University, Cardiff Business School, Economics Section.
    13. Daly, Hounaida & Smida, Mounir, 2014. "Fiscal Theory of Price Level," MPRA Paper 60142, University Library of Munich, Germany.
    14. Jordi Galí, 2010. "Are Central Banks' Projections Meaningful?," NBER Working Papers 16384, National Bureau of Economic Research, Inc.
    15. Frank Smets & Kai Christoffel & Günter Coenen & Roberto Motto & Massimo Rostagno, 2010. "DSGE models and their use at the ECB," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 51-65, March.
    16. Pelin Ilbas, 2008. "Estimation of monetary policy preferences in a forward-looking model : a Bayesian approach," Working Paper Research 129, National Bank of Belgium.
    17. Meenagh, David & Minford, Patrick & Oyekola, Olayinka, 2015. "Oil Prices and the Dynamics of Output and Real Exchange Rate," Cardiff Economics Working Papers E2015/18, Cardiff University, Cardiff Business School, Economics Section.

    More about this item

    JEL classification:

    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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