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World, country, and sector factors in international business cycles

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  • Karadimitropoulou, Aikaterini
  • León-Ledesma, Miguel

Abstract

Do sector-specific factors common to all countries play an important role in explaining business cycle co-movement? We address this question by analyzing international co-movements of value added (VA) growth in a multi-sector dynamic factor model. The model contains a world factor, country-specific factors, sector-specific factors, and idiosyncratic components. We estimate the model using Bayesian methods for 30 disaggregated sectors in the G7 economies for the 1974–2004 period. Our findings show that, although there is a substantial role for sector-specific factors, fluctuations are dominated by country-factors. The world factor appears to play a minimal role because, when using aggregate data, the world factor captures both the factor common to all countries and industries and the factor common to the same industry across countries. We then examine how these factors evolved as globalization deepened over the past two decades. Our results suggest that business cycles at a disaggregate level have not become more synchronized internationally. This is mainly driven by a substantial fall in the volatility of world shocks during the globalization period, rather than a lower sensitivity of sectoral growth to world factors. Our results also reveal that world factors appear to be more important for industries with a higher level of international vertical integration.

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  • Karadimitropoulou, Aikaterini & León-Ledesma, Miguel, 2013. "World, country, and sector factors in international business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2913-2927.
  • Handle: RePEc:eee:dyncon:v:37:y:2013:i:12:p:2913-2927
    DOI: 10.1016/j.jedc.2013.09.002
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    10. Laurent Ferrara & Aikaterina Karadimitropoulou & Athanasios Triantafyllou & Theodora Bermpei, 2022. "Commodity currencies revisited: The role of global commodity price uncertainty," EconomiX Working Papers 2022-24, University of Paris Nanterre, EconomiX.
    11. Carsten Trenkler & Enzo Weber, 2020. "Identifying shocks to business cycles with asynchronous propagation," Empirical Economics, Springer, vol. 58(4), pages 1815-1836, April.
    12. Bermpei, Theodora & Karadimitropoulou, Aikaterini & Triantafyllou, Athanasios & Alshalahi, Jebreel, 2023. "Does commodity price uncertainty matter for the cost of credit? Evidence from developing and advanced economies," Journal of Commodity Markets, Elsevier, vol. 29(C).
    13. Karadimitropoulou, Aikaterini, 2018. "Advanced economies and emerging markets: Dissecting the drivers of business cycle synchronization," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 115-130.
    14. Fabrizio Coricelli & Aikaterini Karadimitropoulou & Miguel A. León-Ledesma, 2012. "A Disaggregate Characterisation of Recessions," Studies in Economics 1209, School of Economics, University of Kent.
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    18. Alain Raybaut, 2018. "Coupling and synchronization dynamics in endogenous business cycles models," Post-Print halshs-01941339, HAL.
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    23. Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
    24. Alexander Chudik & Janet Koech & Mark Wynne, 2021. "The Heterogeneous Effects of Global and National Business Cycles on Employment in US States and Metropolitan Areas," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 495-517, April.
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    More about this item

    Keywords

    Dynamic factors; Disaggregated business cycles; International co-movement;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles

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