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What are the driving forces of international business cycles

  • Christopher Otrok

    (University of Virginia)

  • Ayhan Kose


  • Mario J. Crucini

    (Vanderbilt University and NBER)

We examine the driving forces of G-7 business cycles. We decompose national business cycles into common and nation-specific components using a dynamic factor model. We also do this for driving variables found in business cycle models: productivity; measures of fiscal and monetary policy; the terms of trade and oil prices. We find a large common factor in oil prices, productivity, and the terms of trade. Productivity is the main driving force, with other drivers isolated to particular nations or sub-periods. Along these lines, we document shifts in the correlation of the G-7 component of each driver with the overall G-7 cycle.

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Paper provided by Society for Economic Dynamics in its series 2009 Meeting Papers with number 820.

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Date of creation: 2009
Date of revision:
Handle: RePEc:red:sed009:820
Contact details of provider: Postal: Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA
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  1. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
  2. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
  3. David K. Backus & Mario J. Crucini, 1998. "Oil Prices and the Terms of Trade," NBER Working Papers 6697, National Bureau of Economic Research, Inc.
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  7. Allan W. Gregory & Allen C. Head & Jacques Raynauld, 1994. "Measuring World Business Cycles," Working Papers 902, Queen's University, Department of Economics.
  8. Ayhan Kose, M. & Otrok, Christopher & Whiteman, Charles H., 2008. "Understanding the evolution of world business cycles," Journal of International Economics, Elsevier, vol. 75(1), pages 110-130, May.
  9. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," NBER Working Papers 10220, National Bureau of Economic Research, Inc.
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  11. Otrok, Christopher & Whiteman, Charles H, 1998. "Bayesian Leading Indicators: Measuring and Predicting Economic Conditions in Iowa," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 997-1014, November.
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  16. Crucini, Mario J, 1997. "Country Size and Economic Fluctuations," Review of International Economics, Wiley Blackwell, vol. 5(2), pages 204-20, May.
  17. David K. Backus & Patrick J. Kehoe, 1992. "International Evidence on the Historical Properties of Business Cycles," Working Papers 92-5, New York University, Leonard N. Stern School of Business, Department of Economics.
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  22. Chib, Siddhartha & Greenberg, Edward, 1994. "Bayes inference in regression models with ARMA (p, q) errors," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 183-206.
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