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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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  • Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
  • Handle: RePEc:taf:irapec:v:21:y:2007:i:1:p:135-156
    DOI: 10.1080/02692170601035066
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    Cited by:

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    2. Jorge Andrés Tamayo Castaño, 2012. "Asimetrías en la demanda por trabajo en Colombia: el papel del ciclo económico," Borradores de Economia 689, Banco de la Republica de Colombia.
    3. 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.
    4. Monica Billio & Massimiliano Caporin & Guido Cazzavillan, 2008. "Dating EU15 monthly business cycle jointly using GDP and IPI," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2007(3), pages 333-366.
    5. 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.
    6. 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.
    7. Balázs Égert & Douglas Sutherland, 2014. "The Nature of Financial and Real Business Cycles: The Great Moderation and Banking Sector Pro-Cyclicality," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(1), pages 98-117, February.
    8. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    9. 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 13025, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    10. Mitra, Sinchan & Sinclair, Tara M., 2012. "Output Fluctuations In The G-7: An Unobserved Components Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 16(3), pages 396-422, June.
    11. Pierre L. Siklos, 2020. "Looking into the Rear-View Mirror: Lessons from Japan for the Eurozone and the U.S?," IMES Discussion Paper Series 20-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
    12. Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
    13. Tamayo Castaño, Jorge Andrés, 2012. "Asimetrías en la demanda por trabajo en Colombia : el papel del ciclo económico," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 12, pages 487-542, Banco de la Republica de Colombia.
    14. Andrzej Wojtyna, 2005. "Alternatywne modele kapitalizmu," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 9, pages 1-23.
    15. Afanasyeva, Elena, 2013. "Atypical behavior of credit: Evidence from a monetary VAR," IMFS Working Paper Series 70, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    16. Jacques Anas & Monica Billio & Laurent Ferrara & Gian Luigi Mazzi, 2008. "A System For Dating And Detecting Turning Points In The Euro Area," Manchester School, University of Manchester, vol. 76(5), pages 549-577, September.
    17. Andrew Hallett & Christian Richter, 2006. "Measuring the Degree of Convergence among European Business Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 229-259, May.
    18. Syed Imran Sajjad & Saleem Ullah Jan & Madiha Saddat & Ijaz ur Rehman, 2012. "Exploring the Nexus; Stock Market, T. Bills, Inflation, Interest Rate and Exchange Rate," Journal of Economics and Behavioral Studies, AMH International, vol. 4(7), pages 384-389.
    19. Märten Kress, 2004. "Lending cycles in Estonia," Bank of Estonia Working Papers 2004-3, Bank of Estonia, revised 10 Oct 2004.
    20. Širůček, Martin, 2015. "Kauzalní vztah peněžní nabídky a amerického akciového trhu [Money supply and US stock market causality]," MPRA Paper 66357, University Library of Munich, Germany, revised 30 Aug 2015.

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    More about this item

    Keywords

    Business cycle; Markov switching; synchronization; turning points;
    All these keywords.

    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
    • F20 - International Economics - - International Factor Movements and International Business - - - General

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