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Markov-Switching Procedures for Dating the Euro-Zone Business Cycle

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  • Hans-Martin Krolzig

Abstract

This paper addresses the issues of identification and dating of the Euro-zone business cycle by using the Markov-switching approach innovated by Hamilton in his analysis of the US business cycle. Regime shifts in the stochastic process of economic growth in the Euro-zone are identified by fitting Markov-switching models to aggregated and single-country Euro-zone real GDP growth data of the last two decades. The models are found to be statistically congruent and economically meaningful. Based of the smoothed regime probabilities from the Markov-switching models the Euro-zone business cycle is dated and recessions from 1980Q1 to 1981Q1 and 1992Q3 to 1993Q2 are revealed. A Markov-switching vector autoregression of real GDP growth rates in eight EMU member states shows that while the business cycles in the Euro-zone have not been perfectly synchronized over the last two decades, the overall evidence for the presence of a common Euro-zone cycle is strong. Zur Identifikation und Datierung des Konjunkturzyklus in der Eurozone wird der von Hamilton zur Analyse des US-Konjunkturzyklus vorgeschlagene Markov-Regimewechselansatz auf vierteljährliche aggregierte und länderspezifische Zeitreihen des realen Bruttoinlandsproduktwachstums der zwei letzten Jahrzehnte angewandt. Mit den statistisch kongruenten und ökonomisch sinnvollen Modellen werden Regimewechsel im stochastischen Wachstumsprozess der Wirtschaft in der Eurozone identifiziert. Basierend auf den implizierten geglätteten Regimewahrscheinlichkeiten kann eine Datierung des Konjunkturzyklus in der Eurozone vorgenommen werden: Konjunkturzyklen in der Eurozone nicht perfekt ist, können mit der Ausnahme von Finnland für jedes Land simultane Regimewechsel in der mittleren Wachstumsrate identifiziert werden.

Suggested Citation

  • Hans-Martin Krolzig, 2001. "Markov-Switching Procedures for Dating the Euro-Zone Business Cycle," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 339-351.
  • Handle: RePEc:diw:diwvjh:70-30-4
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    File URL: http://ejournals.duncker-humblot.de/doi/pdf/10.3790/vjh.70.3.339
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    References listed on IDEAS

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    1. Beyer, Andreas & Doornik, Jurgen A & Hendry, David F, 2001. "Constructing Historical Euro-Zone Data," Economic Journal, Royal Economic Society, vol. 111(469), pages 102-121, February.
    2. 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.
    3. 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 61-82, Suppl. De.
    4. H.-M. Krolzig & H. Lütkepohl, 1995. "Konjunkturanalyse mit Markov-Regimewechselmodellen," SFB 373 Discussion Papers 1995,19, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    5. Pagan, Adrian, 1997. "Policy, Theory, and the Cycle," Oxford Review of Economic Policy, Oxford University Press, vol. 13(3), pages 19-33, Autumn.
    6. 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 195-198, March-Apr.
    7. Peersman, Gert & Smets, Frank, 2001. "Are the effects of monetary policy in the euro area greater in recessions than in booms?," Working Paper Series 0052, European Central Bank.
    8. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
    9. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    10. Garcia, Rene, 1998. "Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 763-788, August.
    11. Hamilton, James D & Gang, Lin, 1996. "Stock Market Volatility and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 573-593, Sept.-Oct.
    12. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, July.
    13. 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.
    14. Ang, Andrew & Bekaert, Geert, 2002. "Regime Switches in Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-182, April.
    15. 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 357-384, March.
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    Cited by:

    1. Vitor Castro, 2015. "The Portuguese business cycle: chronology and duration dependence," Empirical Economics, Springer, vol. 49(1), pages 325-342, August.
    2. Mehmet Balcilar & Reneé van Eyden & Josine Uwilingiye & Rangan Gupta, 2017. "The Impact of Oil Price on South African GDP Growth: A Bayesian Markov Switching-VAR Analysis," African Development Review, African Development Bank, vol. 29(2), pages 319-336, June.
    3. Laurent Ferrara & Dominique Guégan, 2006. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
    4. Vítor Castro, 2011. "The Portuguese Business Cycle: Chronology and Duration Dependence," NIPE Working Papers 11/2011, NIPE - Universidade do Minho.
    5. Bilgili, Faik, 2012. "Linear and nonlinear TAR panel unit root analyses for solid biomass energy supply of European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6775-6781.
    6. Olivier Darné & Laurent Ferrara, 2011. "Identification of Slowdowns and Accelerations for the Euro Area Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 335-364, June.
    7. Álvarez, L-J. & Bulligan, G. & Cabrero, A. & Ferrara, L. & Stahl, H., 2009. "Housing cycles in the major euro area countries," Working papers 269, Banque de France.
    8. André, NYEMBWE & Konstantin, KHOLODILIN, 2005. "North-South Asymmetric Relationships : Does the EMU Business Affect Small African Economies ?," Discussion Papers (ECON - Département des Sciences Economiques) 2005032, Université catholique de Louvain, Département des Sciences Economiques.
    9. Pilar Bengoechea & Gabriel Pérez Quirós, 2004. "A useful tool to identify recessions in the euro area," European Economy - Economic Papers 2008 - 2015 215, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. Altug, Sumru G. & Bildirici, Melike, 2010. "Business Cycles around the Globe: A Regime-switching Approach," CEPR Discussion Papers 7968, C.E.P.R. Discussion Papers.
    11. Bilgili, Faik & Tülüce, Nadide Sevil Halıcı & Doğan, İbrahim, 2012. "The determinants of FDI in Turkey: A Markov Regime-Switching approach," Economic Modelling, Elsevier, vol. 29(4), pages 1161-1169.
    12. Bengoechea, Pilar & Camacho, Maximo & Perez-Quiros, Gabriel, 2006. "A useful tool for forecasting the Euro-area business cycle phases," International Journal of Forecasting, Elsevier, vol. 22(4), pages 735-749.
    13. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d'accélération pour l'économie française," Economie & Prévision, La Documentation Française, vol. 0(3), pages 95-114.
    14. Mandilaras, Alex & Bird, Graham, 2010. "A Markov switching analysis of contagion in the EMS," Journal of International Money and Finance, Elsevier, vol. 29(6), pages 1062-1075, October.
    15. 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.
    16. repec:hal:journl:halshs-00185372 is not listed on IDEAS
    17. Jammazi, Rania & Aloui, Chaker, 2010. "Wavelet decomposition and regime shifts: Assessing the effects of crude oil shocks on stock market returns," Energy Policy, Elsevier, vol. 38(3), pages 1415-1435, March.
    18. 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.
    19. Monika Kośko & Marta Kwiecień & Joanna Stempińska, 2015. "Use of the Markov switching models for identification of turning points in the business cycles of selected countries," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 36, pages 511-523.
    20. repec:eee:rensus:v:75:y:2017:i:c:p:68-85 is not listed on IDEAS
    21. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".
    22. Monika Kośko & Marta Kwiecień & Joanna Stempińska, 2016. "Przełącznikowe modele Markowa (MS) – charakterystyka i sposoby zastosowań w badaniach ekonomicznych," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 40, pages 479-490.
    23. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185372, HAL.
    24. 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.

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