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Classical and modern business cycle measurement: The European case

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  • Hans-Martin Krolzig

    ()

  • Juan Toro

    ()

Abstract

This paper intends to harmonize two different approaches employed in the analysis of business cycles and, in doing so, it retrieves the stylized facts of the business cycle in Europe. We start with the ‘classical’ approach proposed in Burns and Mitchell (1946) of dating and analyzing the business cycle. The stylized facts retrieved are commented and compared to those obtained by Harding and Pagan (2002) for the U.S.. Two conclusions can be extracted from the results: a) though the turning points obtained for individual countries seem to cluster and would suggest the idea of a common cycle, there are relevant differences in the stylized facts characterizing the business cycle in the individual European economies under analysis; b) moreover, we find relevant differences in the business cycle stylized facts of the European countries and the U.S., mostly in terms of the duration, the amplitude of the cycle and the shape of the recovery. We then adopt the ‘modern’ alternative: the Markov-switching vector autoregression (MS-VAR). The model’s regime probabilities provide an optimal statistical inference of the turning point of the European business cycle. For assessing the capacity of the parametric approach to generate the stylized facts of the classical cycle in Europe, the stylized facts of the original data are compared to those of simulated data. Contrary to the results reported by Harding and Pagan (2002) , we show that the MS-VAR model is a good candidate to be used as an statistical instrument to improve the understanding of the business cycle. Copyright Springer-Verlag Berlin/Heidelberg 2004

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Bibliographic Info

Article provided by Springer in its journal Spanish Economic Review.

Volume (Year): 7 (2004)
Issue (Month): 1 (January)
Pages: 1-21

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Handle: RePEc:spr:specre:v:7:y:2004:i:1:p:1-21

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Keywords: International business cycles; European Union; Markov switching; Structural breaks; Time series analysis;

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References

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  1. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
  2. Gregory D. Hess & Shigeru Iwata, 1995. "Measuring business cycle features," Research Working Paper 95-10, Federal Reserve Bank of Kansas City.
  3. Robin L. Lumsdaine & Eswar Prasad, 1999. "Identifying the Common Component in International Economic Fluctuations," IMF Working Papers 99/154, International Monetary Fund.
  4. Krozlig, H.M., 1997. "International Business Cycles: Regime Shifts in the Stochastic Process of Economic Growth," Economics Series Working Papers 99194, University of Oxford, Department of Economics.
  5. Hansen, Bruce E, 1996. "Erratum: The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 195-98, March-Apr.
  6. Phillips, Kerk L., 1991. "A two-country model of stochastic output with changes in regime," Journal of International Economics, Elsevier, vol. 31(1-2), pages 121-142, August.
  7. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S61-82, Suppl. De.
  8. Pagan, Adrian, 1997. "Policy, Theory, and the Cycle," Oxford Review of Economic Policy, Oxford University Press, vol. 13(3), pages 19-33, Autumn.
  9. Daniel E. Sichel, 1992. "Inventories and the three phases of the business cycle," Working Paper Series / Economic Activity Section 128, Board of Governors of the Federal Reserve System (U.S.).
  10. Adrian Pagan, 1997. "Towards an Understanding of Some Business Cycle Characteristics," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 30(1), pages 1-15.
  11. Don Harding & Adrian Pagan, 1999. "Dissecting the Cycle," Melbourne Institute Working Paper Series wp1999n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  12. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
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Cited by:
  1. Máximo Camacho & Gabriel Pérez-Quirós & Lorena Saiz, 2005. "Do european business cycles look like one?," Banco de Espa�a Working Papers 0518, Banco de Espa�a.
  2. Emanuel Mönch & Harald Uhlig, 2003. "Towards a Monthly Business Cycle Chronology for the Euro Area," SFB 649 Discussion Papers SFB649DP2005-023, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany, revised Apr 2005.
  3. Eric Girardin, 2004. "Regime-Dependent Synchronization of Growth Cycles between Japan and East Asia," Asian Economic Papers, MIT Press, vol. 3(3), pages 147-176.
  4. Ralf Brüggemann & Jana Riedel, 2010. "Nonlinear Interest Rate Reaction Functions for the UK," Working Paper Series of the Department of Economics, University of Konstanz 2010-15, Department of Economics, University of Konstanz.
  5. Adanero-Donderis , M. & Darné, O. & Ferrara, L., 2007. "Deux indicateurs probabilistes de retournement cyclique pour l’économie française," Working papers 187, Banque de France.
  6. AKA, Bédia F., 2009. "Business Cycle And Sectoral Fluctuations: A Nonlinear Model For Côte D’Ivoire," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 9(1), pages 111-126.
  7. repec:hal:cesptp:halshs-00185372 is not listed on IDEAS
  8. Bessec Marie & Bouabdallah Othman, 2005. "What Causes The Forecasting Failure of Markov-Switching Models? A Monte Carlo Study," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-24, June.
  9. Caraiani, Petre, 2012. "Stylized facts of business cycles in a transition economy in time and frequency," Economic Modelling, Elsevier, vol. 29(6), pages 2163-2173.
  10. Aka, B.F., 2004. "Do WAEMU Countries Exhibit a Regional Business Cycle?. A Simulated Markov Switching Model for a Western Africa area," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(4).
  11. Maximo Camacho & Gabriel Perez-Quiros & Lorena Saiz & Universidad de Murcia, 2006. "Do european business cycles look like one $\_?$," Computing in Economics and Finance 2006 175, Society for Computational Economics.
  12. Laurent Ferrara & Dominique Guégan, 2005. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing,CIRET, vol. 2005(3), pages 353-371.
  13. Pilar Bengoechea & Gabriel P�rez Quir�s, 2004. "A useful tool to identify recessions in the euro area," European Economy - Economic Papers 215, Directorate General Economic and Monetary Affairs (DG ECFIN), European Commission.
  14. Laurent Ferrara & Olivier Darné & Marie Adanero-Donderis, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
  15. Siem Jan Koopman & Joao Valle e Azevedo, 2003. "Measuring Synchronisation and Convergence of Business Cycles," Tinbergen Institute Discussion Papers 03-052/4, Tinbergen Institute.

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