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Identifying the Common Component in International Economic Fluctuations; A New Approach

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  • Robin L. Lumsdaine
  • Eswar S Prasad

Abstract

This paper develops an aggregation procedure using time-varying weights for constructing the common component of international economic fluctuations. The methodology for deriving time-varying weights is based on some stylized features of the data documented in the paper. The model allows for a unified treatment of cyclical and seasonal fluctuations and also captures the dynamic propagation of shocks across countries. Correlations of individual country fluctuations with the common component provide evidence of a “world business cycle” and a distinct European common component. The results suggest that macroeconomic fluctuations have become more closely linked across industrial economies in the post–Bretton Woods period.

Suggested Citation

  • Robin L. Lumsdaine & Eswar S Prasad, 1999. "Identifying the Common Component in International Economic Fluctuations; A New Approach," IMF Working Papers 99/154, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:99/154
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    References listed on IDEAS

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    1. Stockman, Alan C., 1988. "Sectoral and national aggregate disturbances to industrial output in seven European countries," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 387-409.
    2. Forni, Mario & Reichlin, Lucrezia, 1996. "Dynamic Common Factors in Large Cross-Sections," Empirical Economics, Springer, vol. 21(1), pages 27-42.
    3. J. Joseph Beaulieu & Jeffrey K. MacKie-Mason & Jeffrey A. Miron, 1992. "Why Do Countries and Industries with Large Seasonal Cycles Also Have Large Business Cycles?," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 621-656.
    4. Cecchetti, Stephen G. & Kashyap, Anil K, 1996. "International cycles," European Economic Review, Elsevier, vol. 40(2), pages 331-360, February.
    5. Ghysels, Eric, 1997. "Seasonal Adjustment and Other Data Transformations," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 410-418, October.
    6. Lumsdaine, Robin L. & Ng, Serena, 1999. "Testing for ARCH in the presence of a possibly misspecified conditional mean," Journal of Econometrics, Elsevier, vol. 93(2), pages 257-279, December.
    7. Canova, Fabio & Ghysels, Eric, 1994. "Changes in seasonal patterns : Are they cyclical?," Journal of Economic Dynamics and Control, Elsevier, vol. 18(6), pages 1143-1171, November.
    8. Diebold, Francis X & Nerlove, Marc, 1989. "The Dynamics of Exchange Rate Volatility: A Multivariate Latent Factor Arch Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 1-21, Jan.-Mar..
    9. Cecchetti, Stephen G & Kashyap, Anil K & Wilcox, David W, 1997. "Interactions between the Seasonal and Business Cycles in Production and Inventories," American Economic Review, American Economic Association, vol. 87(5), pages 884-892, December.
    10. Lippi, Marco & Reichlin, Lucrezia, 1994. "Common and uncommon trends and cycles," European Economic Review, Elsevier, vol. 38(3-4), pages 624-635, April.
    11. Gregory, Allan W & Head, Allen C & Raynauld, Jacques, 1997. "Measuring World Business Cycles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 677-701, August.
    12. Beaulieu, J Joseph & Miron, Jeffrey A, 1992. "A Cross Country Comparison of Seasonal Cycles and Business Cycles," Economic Journal, Royal Economic Society, vol. 102(413), pages 772-788, July.
    13. Altonji, Joseph G & Ham, John C, 1990. "Variation in Employment Growth in Canada: The Role of External, National, Regional, and Industrial Factors," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 198-236, January.
    14. Christoffersen, Peter F & Giorgianni, Lorenzo, 2000. "Interest-Rate Arbitrage in Currency Baskets: Forecasting Weights and Measuring Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(2), pages 242-253, April.
    15. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    16. 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.
    17. Engle, Robert F & Hylleberg, Svend, 1996. "Common Seasonal Features: Global Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(4), pages 615-630, November.
    18. Marianne Baxter & Alan C. Stockman, 1988. "Business Cycles and the Exchange Rate System: Some International Evidence," NBER Working Papers 2689, National Bureau of Economic Research, Inc.
    19. Allen C. Head, 1995. "Country Size, Aggregate Fluctuations, and International Risk Sharing," Canadian Journal of Economics, Canadian Economics Association, vol. 28(4b), pages 1096-1119, November.
    20. Diebold, Francis X & Rudebusch, Glenn D, 1996. "Measuring Business Cycles: A Modern Perspective," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 67-77, February.
    21. Artis, Michael J & Zhang, Wenda, 1999. "Further Evidence on the International Business Cycle and the ERM: Is There a European Business Cycle?," Oxford Economic Papers, Oxford University Press, vol. 51(1), pages 120-132, January.
    22. Diebold, Francis X. & Pauly, Peter, 1990. "The use of prior information in forecast combination," International Journal of Forecasting, Elsevier, vol. 6(4), pages 503-508, December.
    23. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 369-380, October.
    24. Franses, Philip Hans & Hylleberg, Svend & Lee, Hahn S., 1995. "Spurious deterministic seasonality," Economics Letters, Elsevier, vol. 48(3-4), pages 249-256, June.
    25. Tamim Bayoumi & Eswar Prasad, 1997. "Currency Unions, Economic Fluctuations, and Adjustment: Some New Empirical Evidence," IMF Staff Papers, Palgrave Macmillan, vol. 44(1), pages 36-58, March.
    26. Adrian Pagan, 1997. "Towards an Understanding of Some Business Cycle Characteristics," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 30(1), pages 1-15.
    27. James H. Stock & Mark W. Watson, 1993. "A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience," NBER Chapters,in: Business Cycles, Indicators and Forecasting, pages 95-156 National Bureau of Economic Research, Inc.
    28. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    29. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    30. Deutsch, Melinda & Granger, Clive W. J. & Terasvirta, Timo, 1994. "The combination of forecasts using changing weights," International Journal of Forecasting, Elsevier, vol. 10(1), pages 47-57, June.
    31. Gerlach, H M Stefan, 1988. "World Business Cycles under Fixed and Flexible Exchange Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(4), pages 621-632, November.
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    More about this item

    Keywords

    Business cycles; Economic Fluctuations; International and European Business Cycles; Autoregressive Conditional Heteroskedasticty; common; correlations; statistics; correlation; statistic;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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