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Business Cycle Synchronization Across the Euro-Area: a Wavelet Analysis

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Abstract

We use wavelets, cross-wavelets, wavelet-phase analysis, wavelet-clustering and multidimensional mapping to study business cycle synchronization across countries that are part of the Euro12 Area. Based on the wavelet spectra, we propose a metric to measure business cycle disynchronicity. We identify Germany, France, Spain, Austria and the Benelux countries as the core of the Euroland and another group with a less synchronous business cycle and ask whether these latter countries are converging to the Euroland core, and, if so, at what frequencies. With the exception of Portugal,all countries are converging to the Euro core. This convergence is particularly strong in the case of Ireland and Italy.

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  • Luís Francisco Aguiar & Maria Joana Soares, 2009. "Business Cycle Synchronization Across the Euro-Area: a Wavelet Analysis," NIPE Working Papers 8/2009, NIPE - Universidade do Minho.
    • Handle: RePEc:nip:nipewp:8/2009
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    Cited by:

    1. Dionysios K. Solomos & Dimitrios N. Koumparoulis, 2013. "Financial Sector and Business Cycles Determinants in the EMU: An Empirical Approach (1996-2011)," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 34-58.
    2. Bruzda, Joanna, 2011. "On some problems in discrete wavelet analysis of bivariate spectra with an application to business cycle synchronization in the euro zone," Economics Discussion Papers 2011-5, Kiel Institute for the World Economy (IfW Kiel).
    3. Dionysios Chionis & Fotios Mitropoulos & Antonios Sarantidis, 2021. "Business cycles and macroeconomic asymmetries: New evidence from Eurozone and European countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5977-5996, October.
    4. Stavros Degiannakis & David Duffy & George Filis, 2014. "Business Cycle Synchronization in EU: A Time-Varying Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(4), pages 348-370, September.
    5. Fabio C. Bagliano & Claudio Morana, 2011. "The Effects of the US Economic and Financial Crises on Euro Area Convergence," Chapters, in: Wim Meeusen (ed.), The Economic Crisis and European Integration, chapter 7, Edward Elgar Publishing.
    6. Joanna Bruzda, 2011. "Business cycle synchronization according to wavelets – the case of Poland and the euro zone member countries," Bank i Kredyt, Narodowy Bank Polski, vol. 42(3), pages 5-32.
    7. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: A Network General Equilibrium GVAR approach," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 175-202.
    8. Mustapha Djennas & Mohamed Benbouziane & Meriem Djennas, 2013. "Business Cycle Synchronization in Euro Area and GCC Countries: A Wavelets-GA Approach," Working Papers 772, Economic Research Forum, revised Sep 2013.
    9. Konstantinos Konstantakis & Theofanis Papageorgiou & Panayotis Michaelides & Efthymios Tsionas, 2015. "Economic Fluctuations and Fiscal Policy in Europe: A Political Business Cycles Approach Using Panel Data and Clustering (1996–2013)," Open Economies Review, Springer, vol. 26(5), pages 971-998, November.
    10. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
    11. Michal Bencik, 2011. "Business cycle synchronisation between the V4 countries and the euro area," Working and Discussion Papers WP 1/2011, Research Department, National Bank of Slovakia.
    12. Papageorgiou, Theofanis & Michaelides, Panayotis G. & Milios, John G., 2010. "Business cycles synchronization and clustering in Europe (1960-2009)," Journal of Economics and Business, Elsevier, vol. 62(5), pages 419-470, September.
    13. Papageorgiou, Theofanis & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2016. "Business cycle determinants and fiscal policy: A Panel ARDL approach for EMU," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 57-68.
    14. Meng, Xiangcai & Huang, Chia-Hsing, 2021. "The time-frequency analysis of conventional and unconventional monetary policy: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 59(C).
    15. Anna Solms & Bernd Süssmuth, 2022. "Business cycle characteristics of Mediterranean economies: a secular trend and cycle dynamics perspective," International Economics and Economic Policy, Springer, vol. 19(4), pages 825-862, October.
    16. Adrian Petre, 2016. "The Estimation of the Time Period Required to Achieve Real Economic Convergence between Romania and the Euro Area," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(4), pages 305-310, October.
    17. TRIANDAFIL, Cristina Maria, 2013. "Sustainability of convergence in the context of macro-prudential policies in the European Union," Working Papers of National Institute for Economic Research 130618, Institutul National de Cercetari Economice (INCE).

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