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Business cycle synchronisation in the European Union: The effect of the common currency

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  • Periklis Gogas

Abstract

In this paper, I analyse the synchronisation of business cycles within the European Union (EU), as this is an important ingredient for the implementation of a successful monetary policy. The business cycles of twelve EU countries and two sub-groups of countries are extracted for the period 1989Q1-2010Q2. The cycle of G3, the group of the three largest European economies (Germany, France and Italy) is then used as a benchmark series for the comparisons. The sensitivity of the data to alternative cycle extraction methodologies is explored employing the Hodrick-Prescott and Baxter-King filters using alternative parameter specifications and leads/lags. The strength of cycle synchronisation is measured using linear regressions, crosscorrelation coefficients and the Cycle Synchronisation Index (CSI). To assess whether synchronisation is stronger after the introduction of the common currency, we also test two sub-samples pre- and post-EMU (1999Q1). The empirical results provide evidence that cycle synchronisation within the euro area has become stronger in the common currency period.

Suggested Citation

  • Periklis Gogas, 2013. "Business cycle synchronisation in the European Union: The effect of the common currency," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(1), pages 1-14.
  • Handle: RePEc:oec:stdkab:5k43jt540lzs
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    File URL: http://dx.doi.org/10.1787/jbcma-2013-5k43jt540lzs
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    Citations

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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. 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.
    3. Aleberto Alesina & Guido Tabellini & Francesco Trebbi, 2017. "Is Europe an Optimal Political Area?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 169-234.
    4. repec:kap:openec:v:28:y:2017:i:5:d:10.1007_s11079-017-9465-9 is not listed on IDEAS
    5. 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.
    6. Andreas Brunhart, 2015. "The Swiss Business Cycle and the Lead of Small Neighbor Liechtenstein," Arbeitspapiere 51, Liechtenstein-Institut.
    7. repec:spr:jbuscr:v:13:y:2017:i:1:d:10.1007_s41549-017-0013-x is not listed on IDEAS
    8. Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "European Business Cycle Synchronization: a Complex Network Perspective," Working Paper series 33_14, Rimini Centre for Economic Analysis.

    More about this item

    JEL classification:

    • 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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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