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Does International Trade Synchronize Business Cycles?

Author

Listed:
  • Anderson, H.M.
  • Kwark, N.-S.
  • Vahid, F.

Abstract

This paper studies the relationship between international trade and output fluctuations. The authors find evidence that the business cycles of countries that are more open to international trade are more likely to by synchronized with the business cycles of their major trading partners. A detailed study of the South Korean case shows that while business cycles are related to openness, the diversification of export destinations seems to weaken these links. The authors find no relationship between openness and output volatility.

Suggested Citation

  • Anderson, H.M. & Kwark, N.-S. & Vahid, F., 1999. "Does International Trade Synchronize Business Cycles?," Monash Econometrics and Business Statistics Working Papers 8/99, Monash University, Department of Econometrics and Business Statistics.
  • Handle: RePEc:msh:ebswps:1999-8
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    File URL: http://www.buseco.monash.edu.au/ebs/pubs/wpapers/1999/wp8-99.pdf
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    References listed on IDEAS

    as
    1. Harvey, Andrew & Snyder, Ralph D., 1990. "Structural time series models in inventory control," International Journal of Forecasting, Elsevier, vol. 6(2), pages 187-198, July.
    2. Johnston, F. R. & Boylan, J. E., 1996. "Forecasting intermittent demand: A comparative evaluation of croston's method. Comment," International Journal of Forecasting, Elsevier, vol. 12(2), pages 297-298, June.
    3. Snyder, R.D. & Koehler, A.B. & Ord, J.K., 1998. "Lead Time demand for Simple Exponential Smoothing," Monash Econometrics and Business Statistics Working Papers 13/98, Monash University, Department of Econometrics and Business Statistics.
    4. Willemain, Thomas R. & Smart, Charles N. & Shockor, Joseph H. & DeSautels, Philip A., 1994. "Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method," International Journal of Forecasting, Elsevier, vol. 10(4), pages 529-538, December.
    5. Ord, J.K. & Koehler, A. & Snyder, R.D., 1995. "Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models," Monash Econometrics and Business Statistics Working Papers 4/95, Monash University, Department of Econometrics and Business Statistics.
    6. Snyder, R. D., 1984. "Inventory control with the gamma probability distribution," European Journal of Operational Research, Elsevier, vol. 17(3), pages 373-381, September.
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    Citations

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    Cited by:

    1. Brian M. Doyle & Jon Faust, 2005. "Breaks in the Variability and Comovement of G-7 Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 721-740, November.
    2. Spiliopoulos, Leonidas, 2010. "The determinants of macroeconomic volatility: A Bayesian model averaging approach," MPRA Paper 26832, University Library of Munich, Germany.
    3. Montalbano, Pierluigi, 2011. "Trade Openness and Developing Countries' Vulnerability: Concepts, Misconceptions, and Directions for Research," World Development, Elsevier, vol. 39(9), pages 1489-1502, September.
    4. Maria Bejan, 2007. "Some Business Cycle Consequences of Trade Agreements:The Case of the North American Free Trade Agreement," RSCAS Working Papers 2007/03, European University Institute.
    5. Kose, M. Ayhan & Yi, Kei-Mu, 2006. "Can the standard international business cycle model explain the relation between trade and comovement?," Journal of International Economics, Elsevier, vol. 68(2), pages 267-295, March.
    6. Norbert Fiess, 2007. "Business Cycle Synchronization and Regional Integration: A Case Study for Central America," World Bank Economic Review, World Bank Group, vol. 21(1), pages 49-72.
    7. Lee, Hyun-Hoon & Huh, Hyeon-Seung & Harris, David, 2003. "The relative impact of the US and Japanese business cycles on the Australian economy," Japan and the World Economy, Elsevier, vol. 15(1), pages 111-129, January.
    8. Ioannis Tsamourgelis & Persa Paflioti & Thomas Vitsounis, 2013. "Seaports Activity (A)synchronicity, Trade Intensity and Business Cycle Convergence: A Panel Data Analysis," International Journal of Maritime, Trade & Economic Issues (IJMTEI), International Journal of Maritime, Trade & Economic Issues (IJMTEI), vol. 0(1), pages 67-92.
    9. Ferdinand Fichtner, 2003. "Germany and the European Business Cycle - An Analysis of Causal Relations in an International Real Business Cycle Model," IWP Discussion Paper Series 01/2003, Institute for Economic Policy, Cologne, Germany.
    10. Jorge Herrera Hernández, 2004. "Business cycles in Mexico and the United States: Do they share common movements?," Journal of Applied Economics, Universidad del CEMA, vol. 7, pages 303-323, November.
    11. Manuel Ramos Francia & Daniel Chiquiar, 2004. "Bilateral Trade and Business Cycle Synchronization: Evidence from Mexico and United States Manufacturing Industries," Working Papers 2004-05, Banco de México.
    12. M. Ayhan Kose & Kei-Mu Yi, 2002. "The trade comovement problem in international macroeconomics," Staff Reports 155, Federal Reserve Bank of New York.
    13. Marek Lubiński, 2007. "International Business Cycle," Contemporary Economics, University of Finance and Management in Warsaw, vol. 1(2), June.
    14. Maria Bejan, 2011. "Trade Agreements and International Comovements: the Case of NAFTA (North American Free Trade Agreement)," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(4), pages 667-685, October.

    More about this item

    Keywords

    Coherence; Volatility; Business Cycles; Time Series;

    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F49 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Other

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