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Business Cycles, Core, and Periphery in Monetary Unions: Comparing Europe and North America

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  • Alexandra Ferreira-Lopes
  • Álvaro Pina
Abstract
We compare Europe with the USA and Canada as regards business cycle synchronization and core-periphery patterns. A long sample (1950-2005) makes it possible to study how these aspects have evolved over time. Results support the economic viability of EMU. Average cyclical correlations among European countries have risen significantly, reaching levels close to, or even higher than, those of North American regions. Applying fuzzy clustering to the analysis of core-periphery issues, we find Europe to actually outperform North America: the core-periphery divide is milder, and peripheral status seems generally less protracted.
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  • Alexandra Ferreira-Lopes & Álvaro Pina, 2011. "Business Cycles, Core, and Periphery in Monetary Unions: Comparing Europe and North America," Open Economies Review, Springer, vol. 22(4), pages 565-592, September.
    • Handle: RePEc:kap:openec:v:22:y:2011:i:4:p:565-592
    DOI: 10.1007/s11079-009-9133-9
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    Cited by:

    1. Erden, Lutfi & Ozkan, Ibrahim, 2014. "Determinants of international transmission of business cycles to Turkish economy," Economic Modelling, Elsevier, vol. 36(C), pages 383-390.
    2. Anna Iara, 2016. "Revenue for EMU: A Contribution to the Debate on Fiscal Union," CESifo Economic Studies, CESifo Group, vol. 62(2), pages 301-331.
    3. Luboš Hanus & Lukáš Vácha, 2020. "Growth cycle synchronization of the Visegrad Four and the European Union," Empirical Economics, Springer, vol. 58(4), pages 1779-1795, April.
    4. Knobel, A. & Mironov, A., 2015. "Assessment of CIS Countries Readiness for Creation of Currency Union," Journal of the New Economic Association, New Economic Association, vol. 25(1), pages 76-101.
    5. J.-S. Pentecôte & J.-C. Poutineau & F. Rondeau, 2015. "Trade Integration and Business Cycle Synchronization in the EMU: The Negative Effect of New Trade Flows," Open Economies Review, Springer, vol. 26(1), pages 61-79, February.
    6. Degiannakis, Stavros & Duffy, David & Filis, George, 2013. "Time-varying Business Cycles Synchronisation in Europe," MPRA Paper 52925, University Library of Munich, Germany.
    7. 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.
    8. Ansgar Belke & Clemens Domnick & Daniel Gros, 2017. "Business Cycle Synchronization in the EMU: Core vs. Periphery," Open Economies Review, Springer, vol. 28(5), pages 863-892, November.
    9. Hasan Engin Duran, 2013. "Convergence Of Regional Economic Cycles In Turkey," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 25(3), pages 152-175, November.
    10. Bekiros Stelios & Nguyen Duc Khuong & Uddin Gazi Salah & Sjö Bo, 2015. "Business cycle (de)synchronization in the aftermath of the global financial crisis: implications for the Euro area," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 609-624, December.
    11. 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.
    12. Igor Velickovski & Aleksandar Stojkov & Ivana Rajkovic, 2017. "DIS Union of the Core and the Periphery," International Journal of Economics and Financial Issues, Econjournals, vol. 7(6), pages 159-174.
    13. Alexandra Ferreira-Lopes & Tiago Neves Sequeira, 2012. "Business Cycles Association in a Small Monetary Union: The Case of Switzerland," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 9-30, March.

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    More about this item

    Keywords

    European union; Canada; United States; Monetary unions; Business cycles; Fuzzy clustering; C65; E32; E42; F33;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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