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A closer look at the world business cycle synchronization

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  • Pedro Cerqueira

Abstract

This paper uses a transformation of the period-by-period index proposed by Cerqueira and Martins ( 2009 ), to overcome some of its shortcomings, in a non-parametric estimation to analyze how business cycle synchronization for a sample of 111 countries evolved in the period 1960–2007. The period-by-period index is able to distinguish between negative correlations due to episodes in single years, asynchronous behavior in turbulent times and synchronous behavior over stable periods and the non-parametric approach provides a more detailed analysis than the use of a parametric approach. The results show that since the nineties the synchronization at the world level, within and between country groups, experienced a dramatic increase reaching the highest values ever at the sample end. Copyright Springer-Verlag Berlin Heidelberg 2013

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  • Pedro Cerqueira, 2013. "A closer look at the world business cycle synchronization," International Economics and Economic Policy, Springer, vol. 10(3), pages 349-363, September.
  • Handle: RePEc:kap:iecepo:v:10:y:2013:i:3:p:349-363
    DOI: 10.1007/s10368-013-0233-z
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    Cited by:

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    5. Gießler Stefan & Heinisch Katja & Holtemöller Oliver, 2021. "(Since When) Are East and West German Business Cycles Synchronised?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(1), pages 1-28, February.
    6. Ahlborn, Markus & Wortmann, Marcus, 2017. "Output gap similarities in Europe: Detecting country groups," University of Göttingen Working Papers in Economics 305, University of Goettingen, Department of Economics.
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    8. Antje Hildebrandt & Isabella Moder, 2015. "Business cycle synchronization between the Western Balkans and the European Union," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 8-25.
    9. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    10. López, María del Carmen Delgado & Fonseca-Zendejas, Alejandro Steven, 2023. "Analysis of the intersectoral synchronization of the Mexican economy," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 225-235.
    11. Ahlborn, Markus & Wortmann, Marcus, 2018. "The core‒periphery pattern of European business cycles: A fuzzy clustering approach," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 12-27.
    12. Priyanshi Gupta & Sanjay Sehgal, 2020. "Convergence of retail banking interest rates to households in euro area: time-varying measurement and determinants," International Economics and Economic Policy, Springer, vol. 17(1), pages 25-65, February.
    13. He, Qing & Liu, Junyi & Xue, Chang & Zhou, Shaojie, 2020. "Bureaucratic integration and synchronization of regional economic growth: Evidence from China," China Economic Review, Elsevier, vol. 63(C).
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    16. Nauro F Campos & Corrado Macchiarelli, 2020. "The United Kingdom and the stability of the Euro area: From Maastricht to Brexit," The World Economy, Wiley Blackwell, vol. 43(7), pages 1792-1808, July.
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    18. Pedro André Cerqueira, 2014. "Business Cycle Synchronization and Volatility Shifts," GEMF Working Papers 2014-19, GEMF, Faculty of Economics, University of Coimbra.
    19. N. Antonakakis & H. Badinger, 2014. "International business cycle spillovers since the 1870s," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3682-3694, October.
    20. Mariarosaria Comunale, 2020. "New synchronicity indices between real and financial cycles: Is there any link to structural characteristics and recessions in European Union countries?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 617-641, October.
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    More about this item

    Keywords

    Globalization; Business cycle synchronization; Convergence;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission

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