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Changes in Variability of the Business Cycle in the G7 Countries

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  • D van Dijk
  • D R Osborn
  • M Sensier

Abstract

Volatility breaks are tested and documented for 19 important monthly macroeconomic time series across the G7 countries. Across all conditional mean specifications considered, including both linear and nonlinear models with and without a structural break, volatility breaks are found to be widespread. This continues to hold when business cycle nonlinearities are allowed in the variance. Multiple volatility breaks are also examined, and these are found to be especially prevalent for short-term interest rates. Volatility breaks in industrial production and consumer prices are largely synchronous across the G7. The facts established are discussed in the context of some explanations put forward in the literature to explain volatility breaks previously found for US series.

Suggested Citation

  • D van Dijk & D R Osborn & M Sensier, 2002. "Changes in Variability of the Business Cycle in the G7 Countries," Centre for Growth and Business Cycle Research Discussion Paper Series 16, Economics, The University of Manchester.
  • Handle: RePEc:man:cgbcrp:16
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    3. Cavaliere, Giuseppe & Rahbek, Anders & Taylor, A.M. Robert, 2010. "Testing for co-integration in vector autoregressions with non-stationary volatility," Journal of Econometrics, Elsevier, vol. 158(1), pages 7-24, September.
    4. Erdenebat Bataa & Denise R. Osborn & Marianne Sensier & Dick van Dijk, 2009. "Changes in International Business Cycle Affiliations," Centre for Growth and Business Cycle Research Discussion Paper Series 132, Economics, The University of Manchester.
    5. Pedro Perez & Denise Osborn & Marianne Sensier, 2007. "Business cycle affiliations in the context of European integration," Applied Economics, Taylor & Francis Journals, vol. 39(2), pages 199-214.
    6. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2013. "Unit roots, non-linearities and structural breaks," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 4, pages 61-94, Edward Elgar Publishing.
    7. Dong Jin Lee, 2011. "Bootstrap Tests for Structural Breaks When the Regressors and Error Term are Nonstationary," Working papers 2011-05, University of Connecticut, Department of Economics.
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    9. Erdenebat Bataa & Denise R.Osborn & Marianne Sensier, 2016. "China's Increasing Global Influence: Changes in International Growth Spillovers," Centre for Growth and Business Cycle Research Discussion Paper Series 221, Economics, The University of Manchester.
    10. Giuseppe Cavaliere & A. M. Robert Taylor, 2008. "Time‐Transformed Unit Root Tests for Models with Non‐Stationary Volatility," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(2), pages 300-330, March.
    11. Giuseppe Cavaliere & Peter C. B. Phillips & Stephan Smeekes & A. M. Robert Taylor, 2015. "Lag Length Selection for Unit Root Tests in the Presence of Nonstationary Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 512-536, April.
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    13. Xu, Ke-Li & Phillips, Peter C.B., 2008. "Adaptive estimation of autoregressive models with time-varying variances," Journal of Econometrics, Elsevier, vol. 142(1), pages 265-280, January.
    14. Kushal Banik Chowdhury & Srikanta Kundu & Nityananda Sarkar, 2018. "Regime‐dependent effects of uncertainty on inflation and output growth: evidence from the United Kingdom and the United States," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(4), pages 390-413, September.
    15. James H. Stock & Mark W. Watson, 2003. "Has the Business Cycle Changed? Evidence and Explanations," Working Papers 2003-2, Princeton University. Economics Department..
    16. Kushal Banik Chowdhury & Kaustav Kanti Sarkar & Srikanta Kundu, 2021. "Nonlinear relationships between inflation, output growth and uncertainty in India: New evidence from a bivariate threshold model," Bulletin of Economic Research, Wiley Blackwell, vol. 73(3), pages 469-493, July.
    17. Brian M. Doyle & Jon Faust, 2005. "Breaks in the Variability and Comovement of G-7 Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 721-740, November.
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    21. Hao Jin & Si Zhang & Jinsuo Zhang, 2017. "Spurious regression due to neglected of non-stationary volatility," Computational Statistics, Springer, vol. 32(3), pages 1065-1081, September.
    22. Ossama Mikhail, 2004. "No More Rocking Horses: Trading Business-Cycle Depth for Duration Using an Economy-Specific Characteristic," Macroeconomics 0402026, University Library of Munich, Germany.
    23. Ossama Mikhail, 2006. "Trading Business-Cycle Depth for Duration using an economy-specific characteristic," Economics Bulletin, AccessEcon, vol. 5(7), pages 1-12.
    24. Kemal Çag̃lar Gög̃ebakan & Burak Alparslan Eroglu, 2022. "Non-parametric seasonal unit root tests under periodic non-stationary volatility," Computational Statistics, Springer, vol. 37(5), pages 2581-2636, November.
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