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Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union

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

Abstract

This paper analyses synchronization in business cycles across the European Union (EU) since 1989. We include both old and new European Union members and countries which are currently negotiating accession, as well as potential European Union members. Our methodological approach is based on the correlation matrix and the networks within, which allows us to summarize the individual interaction and co-movement, while also capturing the existing heterogeneity of connectivity within the European economic system. The results indicate that the synchronization of the old EU countries remained stable until the current financial crisis. Additionally, the synchronization of the new and potential members has approached to the old EU members although we observe the existence of different synchronization levels and dynamics in output growth in single countries as well as in groups of countries. Some countries have achieved an important degree of co-movement (such as the Baltic Republics, Hungary, Slovenia and Iceland), while others have experienced reduced synchronization, or even desynchronization (such as Romania, Bulgaria and even Greece and Ireland).

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  • David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012. "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series 2012-01, Center for Research in Economics, Management and the Arts (CREMA).
  • Handle: RePEc:cra:wpaper:2012-01
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    Cited by:

    1. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2016. "International business cycle synchronization since the 1870s: Evidence from a novel network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 286-296.
    2. Sofia Gouveia, 2014. "Business cycle correlation between the Euro area and the Balkan countries," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Eastern Macedonia and Thrace Institute of Technology (EMATTECH), Kavala, Greece, vol. 7(1), pages 33-49, April.
    3. Theophilos Papadimitriou & Periklis Gogas & Georgios Sarantitis, 2016. "Convergence of European Business Cycles: A Complex Networks Approach," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 97-119, February.
    4. Nikolaos Antonakakis & Ioannis Chatziantoniou & George Filis, 2016. "Business Cycle Spillovers in the European Union: What is the Message Transmitted to the Core?," Manchester School, University of Manchester, vol. 84(4), pages 437-481, July.
    5. 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.
    6. repec:eee:phsmap:v:482:y:2017:i:c:p:108-117 is not listed on IDEAS
    7. Feldkircher, Martin, 2015. "A global macro model for emerging Europe," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 706-726.
    8. Matesanz, David & Ortega, Guillermo J., 2015. "Sovereign public debt crisis in Europe. A network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 756-766.
    9. Gächter, Simon & Riedl, Alesandra & Ritzberger-Grünwald, Doris, 2013. "Business cycle convergence or decoupling? : Economic adjustment in CESEE during the crisis," BOFIT Discussion Papers 3/2013, Bank of Finland, Institute for Economies in Transition.
    10. Bruzda Joanna, 2015. "Amplitude and phase synchronization of European business cycles: a wavelet approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 625-655, December.
    11. Matesanz, David & Ortega, Guillermo J., 2016. "On business cycles synchronization in Europe: A note on network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 287-296.

    More about this item

    Keywords

    Business cycle synchronization; European Union countries; EU candidates; complex systems; network topology;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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