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Synchronization and diversity in business cycles: a network analysis of the European Union

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  • David Matesanz Gomez
  • Hernan J. Ferrari
  • Benno Torgler
  • Guillermo J. Ortega

Abstract

In this article, we use a correlation matrix and its internal networks to analyse business cycle synchronization across Europe since 2000. This methodology allows us to summarize individual country interactions and co-movements while also capturing the existing heterogeneity of connectivity within the European economic system. Our results indicate that synchronization of the euro zone countries remained stable from 1999 until the current financial crisis, after which co-movements increased sharply and synchronization rose to the highest in the time sample. By endogenously identifying clusters of countries with close connections in their business cycle, we also refute the commonly accepted notion of identifiable core and peripheral euro zone countries.

Suggested Citation

  • David Matesanz Gomez & Hernan J. Ferrari & Benno Torgler & Guillermo J. Ortega, 2017. "Synchronization and diversity in business cycles: a network analysis of the European Union," Applied Economics, Taylor & Francis Journals, vol. 49(10), pages 972-986, February.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:10:p:972-986
    DOI: 10.1080/00036846.2016.1210765
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    Citations

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    Cited by:

    1. Krzysztof Beck & Ntokozo Patrick Nzimande, 2023. "Labor mobility and business cycle synchronization in Southern Africa," Economic Change and Restructuring, Springer, vol. 56(1), pages 159-179, February.
    2. 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).
    3. Beck, Krzysztof, 2021. "Why business cycles diverge? Structural evidence from the European Union," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    4. Horatiu DAN, 2019. "Joining The Euro Zone – An Exploration Of Real And Structural Convergence In Romania, Bulgaria And Croatia," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 19-32.
    5. Amalia Repele & Sébastien Waelti, 2021. "Mapping the Global Business Cycle Network," Open Economies Review, Springer, vol. 32(4), pages 739-760, September.
    6. Rathke, Alexander & Streicher, Sina & Sturm, Jan-Egbert, 2022. "How similar are country- and sector-responses to common shocks within the euro area?," Journal of International Money and Finance, Elsevier, vol. 120(C).
    7. Philip Haynes & David Alemna, 2022. "A Systematic Literature Review of the Impact of Complexity Theory on Applied Economics," Economies, MDPI, vol. 10(8), pages 1-23, August.
    8. Theophilos Papadimitriou & Periklis Gogas & Fotios Gkatzoglou, 2022. "The Convergence Evolution in Europe from a Complex Networks Perspective," JRFM, MDPI, vol. 15(10), pages 1-14, October.
    9. 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.

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