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USA, Japan and the Euro Area: Comparing Business-Cycle Features

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  • Peter McAdam

Abstract

There has been much discussion of the differences in macroeconomic performance and prospects between the USA, Japan and the Euro area. Using Markov-switching techniques, we identify and compare specifically their major business-cycle features and examine the case for a common business cycle, asymmetries in the national cycles and, using a number of algorithms, date business-cycle turning points. Despite a high degree of trade and financial linkages, the cyclical features of USA, Japan and the Euro area appear quite distinct. Documenting and comparing such international business-cycle features can, for example, aid the development of business-cycle models and inform policy making.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal International Review of Applied Economics.

Volume (Year): 21 (2007)
Issue (Month): 1 ()
Pages: 135-156

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Handle: RePEc:taf:irapec:v:21:y:2007:i:1:p:135-156

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Keywords: Business cycle; Markov switching; synchronization; turning points;

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References

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Citations

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Cited by:
  1. Christian Richter & Andrew Hughes Hallett, 2005. "A Time-Frequency Analysis of the Coherences of the US Business," Computing in Economics and Finance 2005 45, Society for Computational Economics.
  2. Andreas Humpe & Peter D. Macmillan, 2005. "Can macroeconomic variables explain long term stock market movements? A comparison of the US and Japan," CRIEFF Discussion Papers 0511, Centre for Research into Industry, Enterprise, Finance and the Firm.
  3. Märten Kress, 2004. "Lending cycles in Estonia," Bank of Estonia Working Papers 2004-3, Bank of Estonia, revised 10 Oct 2004.
  4. Mitra, Sinchan & Sinclair, Tara M., 2012. "Output Fluctuations In The G-7: An Unobserved Components Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 16(03), pages 396-422, June.
  5. Peter Martey Addo & Monica Billio & Dominique Guegan, 2013. "Turning point chronology for the Euro-Zone: A Distance Plot Approach," Documents de travail du Centre d'Economie de la Sorbonne 13025r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Oct 2013.
  6. Andreas Humpe & Peter Macmillan, 2007. "Can macroeconomic variables explain long term stock market movements? A comparison of the US and Japan," CDMA Working Paper Series 200720, Centre for Dynamic Macroeconomic Analysis.
  7. Afanasyeva, Elena, 2013. "Atypical behavior of credit: Evidence from a monetary VAR," IMFS Working Paper Series 70, Institute for Monetary and Financial Stability (IMFS), Goethe University Frankfurt.
  8. Monica Billio & Massimiliano Caporin & Guido Cazzavillan, 2007. "Dating EU15 Monthly Business Cycle Jointly Using GDP and IPI," Working Papers 2007_19, Department of Economics, University of Venice "Ca' Foscari".
  9. Andrew Hallett & Christian Richter, 2006. "Measuring the Degree of Convergence among European Business Cycles," Computational Economics, Society for Computational Economics, vol. 27(2), pages 229-259, May.
  10. Kajal Lahiri & Gultekin Isiklar, 2010. "Estimating International Transmission of Shocks Using GDP Forecasts: India and Its Trading Partners," Discussion Papers 10-06, University at Albany, SUNY, Department of Economics.

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