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The core‒periphery pattern of European business cycles: A fuzzy clustering approach

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  • Ahlborn, Markus
  • Wortmann, Marcus

Abstract

The literature on business cycle synchronization in Europe frequently presumes an alleged ‘core‒periphery’ pattern without providing empirical verification of the underlying cyclical (dis)similarities or the supposed but unobservable ‘European business cycle(s)’. To provide a data-based country group analysis, we apply a fuzzy clustering approach to quarterly output gap series of 27 European countries over the period 1996‒2015. Our results confirm the existence of a persistent core cluster as opposed to clusters on the Eastern and Southern European peripheries, highlighting the inadequate composition of the euro area (EA). Moreover, we find that Germany's business cycle is not a suitable substitute for the core. By analyzing the relation between the identified ‘European core business cycle’ and the peripheral cycles over time, we show diverging patterns for the southern periphery after the financial crisis as well as convergence for the eastern periphery.

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  • Ahlborn, Markus & Wortmann, Marcus, 2018. "The core‒periphery pattern of European business cycles: A fuzzy clustering approach," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 12-27.
  • Handle: RePEc:eee:jmacro:v:55:y:2018:i:c:p:12-27
    DOI: 10.1016/j.jmacro.2017.08.002
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    2. Magdalena Osińska & Tadeusz Kufel & Marcin Błażejowski & Paweł Kufel, 2020. "Modeling mechanism of economic growth using threshold autoregression models," Empirical Economics, Springer, vol. 58(3), pages 1381-1430, March.
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    4. Kapounek, Svatopluk & Kučerová, Zuzana, 2019. "Historical decoupling in the EU: Evidence from time-frequency analysis," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 265-280.
    5. de Haan, Jakob & Jacobs, Jan P.A.M. & Zijm, Renske, 2024. "Coherence of output gaps in the euro area: The impact of the COVID-19 shock," European Journal of Political Economy, Elsevier, vol. 84(C).
    6. Rémi Odry & Roman Mestre, 2021. "Monetary Policy and Business Cycle Synchronization in Europe," EconomiX Working Papers 2021-19, University of Paris Nanterre, EconomiX.
    7. Carsten Trenkler & Enzo Weber, 2020. "Identifying shocks to business cycles with asynchronous propagation," Empirical Economics, Springer, vol. 58(4), pages 1815-1836, April.
    8. Augustyński Iwo & Laskoś-Grabowski Paweł, 2018. "Clustering Macroeconomic Time Series," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(2), pages 74-88, June.
    9. Peter Backé & Sandra Dvorsky, 2018. "Enlargement of the euro area toward CESEE: progress and perspectives," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3-18, pages 43-56.
    10. Sabrina Bunyan & David Duffy & George Filis & Ishmael Tingbani, 2020. "Fiscal policy, government size and EMU business cycle synchronization," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(2), pages 201-222, May.
    11. Ignatov Augustin, 2019. "Institutional Efficiency, Entrepreneurship, and the Premises of Economic Development in the Eastern European Countries," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 64(2), pages 12-32, August.
    12. Saulius Jokubaitis & Dmitrij Celov, 2022. "Business Cycle Synchronization in the EU: A Regional-Sectoral Look through Soft-Clustering and Wavelet Decomposition," Papers 2206.14128, arXiv.org.
    13. Chenxi Li & Kening Wu & Xiangyu Gao, 2020. "Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2941-2965, April.
    14. Sabrina Bunyan & David Duffy & George Filis & Ishmael Tingbani, 2018. "Bilateral business cycle synchronisation in the EMU: What is the role of fiscal policy and government size?," Working Papers 2018.02, International Network for Economic Research - INFER.
    15. Augustyński, Iwo & Laskoś-Grabowski, Paweł, 2017. "Clustering Macroeconomic Time Series," EconStor Preprints 171380, ZBW - Leibniz Information Centre for Economics.
    16. Alessandro Mistretta, 2021. "Business cycle synchronization or business cycle transmission? The effect of the German slowdown on the Italian economy," Temi di discussione (Economic working papers) 1346, Bank of Italy, Economic Research and International Relations Area.
    17. Szafranek, Karol, 2021. "Evidence on time-varying inflation synchronization," Economic Modelling, Elsevier, vol. 94(C), pages 1-13.

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    More about this item

    Keywords

    Business cycles; Core‒periphery; Euro area; Fuzzy cluster analysis;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F15 - International Economics - - Trade - - - Economic Integration
    • F45 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Macroeconomic Issues of Monetary Unions

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