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Business cycle comovement in the G-7: common shocks or common transmission mechanisms?

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  • Fabio Bagliano
  • Claudio Morana

Abstract

What are the sources of macroeconomic comovement among G-7 countries? Two main candidate explanations may be singled out: common shocks and common transmission mechanisms. In the article it is shown that they are complementary, rather than alternative, explanations. By means of a large-scale Factor Vector Autoregressive (FVAR) model, allowing for full economic and statistical identification of all global and idiosyncratic shocks, it is found that both common disturbances and common transmission mechanisms of global and country-specific shocks account for business cycle comovement in the G-7 countries. Moreover, spillover effects of foreign idiosyncratic disturbances seem to be a less important factor than the common transmission of global or domestic shocks in the determination of international macro-economic comovements.

Suggested Citation

  • Fabio Bagliano & Claudio Morana, 2010. "Business cycle comovement in the G-7: common shocks or common transmission mechanisms?," Applied Economics, Taylor & Francis Journals, vol. 42(18), pages 2327-2345.
    • Handle: RePEc:taf:applec:v:42:y:2010:i:18:p:2327-2345
    DOI: 10.1080/00036840701858067
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    Cited by:

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    2. Guglielmo Maria Caporale & Alessandro Girardi, 2016. "Business cycles, international trade and capital flows: evidence from Latin America," Empirical Economics, Springer, vol. 50(2), pages 231-252, March.
    3. Pär Stockhammar & Pär Österholm, 2016. "Effects of US policy uncertainty on Swedish GDP growth," Empirical Economics, Springer, vol. 50(2), pages 443-462, March.
    4. P�r Österholm & P�r Stockhammar, 2014. "The euro crisis and Swedish GDP growth - a study of spillovers," Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1105-1110, November.
    5. Chen, Qian & Lv, Xin, 2015. "The extreme-value dependence between the crude oil price and Chinese stock markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 121-132.
    6. Wanping Yang & Bingyu Zhao, 2021. "The Transmission Mechanism of China-Japan Economic Co-Movement and Stabilizing Measures for China’s Economy," SAGE Open, , vol. 11(1), pages 21582440211, March.
    7. Wang, Miao & Wong, M.C. Sunny & Granato, Jim, 2015. "International Comovement of Economic Fluctuations: A Spatial Analysis," World Development, Elsevier, vol. 67(C), pages 186-201.
    8. Altınkeski, Buket Kırcı & Cevik, Emrah Ismail & Dibooglu, Sel & Kutan, Ali M., 2022. "Financial stress transmission between the U.S. and the Euro Area," Journal of Financial Stability, Elsevier, vol. 60(C).
    9. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
    10. Apergis, Nicholas & Payne, James E., 2014. "The oil curse, institutional quality, and growth in MENA countries: Evidence from time-varying cointegration," Energy Economics, Elsevier, vol. 46(C), pages 1-9.
    11. Pär Stockhammar & Pär Österholm, 2017. "The Impact of US Uncertainty Shocks on Small Open Economies," Open Economies Review, Springer, vol. 28(2), pages 347-368, April.
    12. Michaelides, Panayotis G. & Papageorgiou, Theofanis, 2012. "On the transmission of economic fluctuations from the USA to EU-15 (1960–2011)," Journal of Economics and Business, Elsevier, vol. 64(6), pages 427-438.
    13. Leif Anders Thorsrud, 2013. "Global and regional business cycles. Shocks and propagations," Working Paper 2013/08, Norges Bank.
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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