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International business cycle spillovers since the 1870s

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  • N. Antonakakis
  • H. Badinger

Abstract

This article considers the evolution of international business cycle interdependencies among 27 developed and developing countries since the beginning of 1870s, utilizing the generalized vector autoregressive (VAR)-based spillover index of Diebold and Yilmaz (2012), which allows the construction of a time-varying measure of business cycle spillovers. We find that, on average, 65% of the forecast error variance of the 27 countries' business cycle shocks is due to international spillovers. However, the magnitude of international business cycle spillovers varies considerably over time. There is a clear increasing trend since the end of World War II and until the mid-1980s. After that, international business cycle interdependencies declined during the period that was dubbed the Great Moderation and stabilized around the beginning of the twenty-first century. During the Great Recession of 2008-2009, international business cycle spillovers increased to unprecedented levels. Finally, developed countries are consistently ranked as net transmitters of cyclical shocks to developing counties throughout the sample.

Suggested Citation

  • N. Antonakakis & H. Badinger, 2014. "International business cycle spillovers since the 1870s," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3682-3694, October.
  • Handle: RePEc:taf:applec:v:46:y:2014:i:30:p:3682-3694
    DOI: 10.1080/00036846.2014.937040
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    References listed on IDEAS

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    Cited by:

    1. Lingaraj MALLICK & Ummalla MALLESH & Jaganath BEHERA, 2016. "Does tourism affect economic growth in Indian states? Evidence from panel ARDL model," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 183-194, Spring.
    2. Antonakakis, Nikolaos & Dragouni, Mina & Filis, George, 2015. "How strong is the linkage between tourism and economic growth in Europe?," Economic Modelling, Elsevier, vol. 44(C), pages 142-155.
    3. Antonakakis, Nikolaos & Gabauer, David, 2017. "Refined Measures of Dynamic Connectedness based on TVP-VAR," MPRA Paper 78282, University Library of Munich, Germany.
    4. 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.
    5. Liow, Kim Hiang, 2015. "Volatility spillover dynamics and relationship across G7 financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 328-365.
    6. 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.

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