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The synchronization of GDP growth in the G7 during US recessions

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  • Nikolaos Antonakakis
  • Johann Scharler

Abstract

Using the Dynamic Conditional Correlation (DCC) model due to Engle (2002), we estimate time-varying correlations of quarterly real GDP growth among the G7 countries. In general, we find that rather heterogeneous patterns of international synchronization exist during US recessions. During the 2007--2009 recession, however, international co-movement increased substantially.

Suggested Citation

  • Nikolaos Antonakakis & Johann Scharler, 2012. "The synchronization of GDP growth in the G7 during US recessions," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 7-11, January.
    • Handle: RePEc:taf:apeclt:v:19:y:2012:i:1:p:7-11
    DOI: 10.1080/13504851.2011.564126
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    References listed on IDEAS

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    Cited by:

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    2. Antonakakis, Nikolaos & Badinger, Harald, 2012. "Output Volatility, Economic Growth, and Cross-Country Spillovers: New Evidence for the G7 Countries," Department of Economics Working Paper Series 141, WU Vienna University of Economics and Business.
    3. David Matesanz Gomez & Benno Torgler & Guillermo J. Ortega, 2013. "Measuring Global Economic Interdependence: A Hierarchical Network Approach," The World Economy, Wiley Blackwell, vol. 36(12), pages 1632-1648, December.
    4. Antonakakis, Nikolaos & Vergos, Konstantinos, 2013. "Sovereign bond yield spillovers in the Euro zone during the financial and debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 258-272.
    5. Antonakakis, N. & Badinger, H., 2016. "Economic growth, volatility, and cross-country spillovers: New evidence for the G7 countries," Economic Modelling, Elsevier, vol. 52(PB), pages 352-365.
    6. Antonakakis, Nikolaos, 2012. "Business cycle synchronization during US recessions since the beginning of the 1870s," Economics Letters, Elsevier, vol. 117(2), pages 467-472.
    7. Antonakakis, Nikolaos, 2012. "The great synchronization of international trade collapse," Economics Letters, Elsevier, vol. 117(3), pages 608-614.
    8. João Martins, 2022. "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 189-214, July.
    9. Tiago Trancoso, 2013. "Global macroeconomic interdependence: a minimum spanning tree approach," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 5(1), pages 179-189, June.
    10. Kiryoung LEE & Chanik JO, 2018. "Forecasting Chinese Business Cycle Using Long-term Interest Rate Comovements," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 118-134, December.
    11. António M Lopes & J A Tenreiro Machado & John S Huffstot & Maria Eugénia Mata, 2018. "Dynamical analysis of the global business-cycle synchronization," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    12. 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.

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