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International Business Cycles: World, Region, and Country-Specific Factors

  • M. Ayhan Kose
  • Christopher Otrok
  • Charles H. Whiteman

The paper investigates the common dynamic properties of business-cycle fluctuations across countries, regions, and the world. We employ a Bayesian dynamic latent factor model to estimate common components in macroeconomic aggregates (output, consumption, and investment) in a 60-country sample covering seven regions of the world. The results indicate that a common world factor is an important source of volatility for aggregates in most countries, providing evidence for a world business cycle. We find that region-specific factors play only a minor role in explaining fluctuations in economic activity. We also document similarities and differences across regions, countries, and aggregates. (JEL F41, E32, C11, C32)

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File URL: http://www.aeaweb.org/articles.php?doi=10.1257/000282803769206278
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Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 93 (2003)
Issue (Month): 4 (September)
Pages: 1216-1239

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Handle: RePEc:aea:aecrev:v:93:y:2003:i:4:p:1216-1239
Note: DOI: 10.1257/000282803769206278
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  1. Norrbin, Stefan C. & Schlagenhauf, Don E., 1996. "The role of international factors in the business cycle: A multi-country study," Journal of International Economics, Elsevier, vol. 40(1-2), pages 85-104, February.
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  3. Robin L. Lumsdaine & Eswar S. Prasad, 1997. "Identifying the Common Component in International Economic Fluctuations," NBER Working Papers 5984, National Bureau of Economic Research, Inc.
  4. Kose, M. Ayhan, 2002. "Explaining business cycles in small open economies: 'How much do world prices matter?'," Journal of International Economics, Elsevier, vol. 56(2), pages 299-327, March.
  5. Allan W. Gregory & Allen C. Head, 1996. "Common and Country-specific Fluctuations in Productivity, Investment, and the Current Account," Working Papers 931, Queen's University, Department of Economics.
  6. Otrok, Christopher & Whiteman, Charles H, 1998. "Bayesian Leading Indicators: Measuring and Predicting Economic Conditions in Iowa," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 997-1014, November.
  7. Artis, Michael J & Kontolemis, Zenon G & Osborn, Denise R, 1997. "Business Cycles for G7 and European Countries," The Journal of Business, University of Chicago Press, vol. 70(2), pages 249-79, April.
  8. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
  9. Christodoulakis, Nicos & Dimelis, Sophia P & Kollintzas, Tryphon, 1995. "Comparisons of Business Cycles in the EC: Idiosyncracies and Regularities," Economica, London School of Economics and Political Science, vol. 62(245), pages 1-27, February.
  10. Geweke, John, 1996. "Monte carlo simulation and numerical integration," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 15, pages 731-800 Elsevier.
  11. Todd E. Clark & Kwanho Shin, 1998. "The sources of fluctuations within and across countries," Research Working Paper 98-04, Federal Reserve Bank of Kansas City.
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  13. Artis, Michael J & Zhang, Wenda, 1995. "International Business Cycles and the ERM: Is there a European Business Cycle?," CEPR Discussion Papers 1191, C.E.P.R. Discussion Papers.
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  16. Mendoza, Enrique G, 1995. "The Terms of Trade, the Real Exchange Rate, and Economic Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(1), pages 101-37, February.
  17. Jean IMBS, 1998. "Co-Fluctuations," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 9819, Université de Lausanne, Faculté des HEC, DEEP.
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