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Trade and fluctuations


  • Kraay, Aart
  • Ventura, Jaume


A look at the data reveals that in OECD countries, economic fluctuations exhibit a high degree of synchronization. In 1965-90, cross-country contemporaneous GDP growth correlations averaged 45 percent. This suggests that a central element of any theory of economic fluctuations should be an explanation of how economic disturbances are transmittedacross countries. But the large body of recent research that emphasizes productivity shocks as the source of fluctuations has been unsuccessful in this regard. The reason, the authors argue, is that these models have not properly addressed the role that commodity trade plays in economic fluctuations. The authors develop a stylized model of commodity trade and economic fluctuations that shows how economic disturbances are positively transmitted internationally, generating the high degree of synchronization in GDP growth rates of OECD countries from 1965-90. The positive transmission mechanism is simple: international booms increase the prices of labor-intensive commodities, raising domestic wages and stimulating employment and output at home. This is the"wage effect."Empirically, this wage effect seems to be large enough to dominate the"interest rate effect"- that international booms also increase world interest rates, induce agents to invest abroad, reducing the domestic capital stock and output. While smaller than the wage effect, the negative transmission by way of the interest rate effect generates predictions that are consistent with existing evidence on current account fluctuations in the OECD. In particular, the model correctly predicts that capital should flow into those countries that experience a boom (relative to the rest of the world), producing current account deficits. The 1980s and early 1990s have brough about rapid financial liberalization. To analyze the implications for the transmission mechanism, the authors also present a model of trade and fluctuations in which agents in some countries are allowed to trade financial assets across borders. This model yields the counterintuitive prediction that the current process of financial integration should lead to a lower degree of synchronization of economic fluctuations. While the wage and interest rate effects still operate in the second model, financial integration creates an additional transmission channel: the"risk-sharing effect."Since the domestic economy shares in the good times experienced in the rest of the world through financial risk-sharing agreements, international booms raise income at home and, provided leisure is a normal good, discourage employment and reduce output. This is a mechanism of negative transmission and reduces the predicted cross-country GDP growth correlations. Although theoretically interesting, evidence from the U.S. states suggests that this risk-sharing effect is small relative to the wage effect.

Suggested Citation

  • Kraay, Aart & Ventura, Jaume, 1995. "Trade and fluctuations," Policy Research Working Paper Series 1560, The World Bank.
  • Handle: RePEc:wbk:wbrwps:1560

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    References listed on IDEAS

    1. Karen K. Lewis, 1995. "What Can Explain the Apparent Lack of International Consumption Risk Sharing?," NBER Working Papers 5203, National Bureau of Economic Research, Inc.
    2. Glick, Reuven & Rogoff, Kenneth, 1995. "Global versus country-specific productivity shocks and the current account," Journal of Monetary Economics, Elsevier, vol. 35(1), pages 159-192, February.
    3. Stockman, Alan C & Tesar, Linda L, 1995. "Tastes and Technology in a Two-Country Model of the Business Cycle: Explaining International Comovements," American Economic Review, American Economic Association, vol. 85(1), pages 168-185, March.
    4. Stockman, Alan C, 1990. "International Transmission and Real Business Cycle Models," American Economic Review, American Economic Association, vol. 80(2), pages 134-138, May.
    5. Backus, David K & Kehoe, Patrick J, 1992. "International Evidence of the Historical Properties of Business Cycles," American Economic Review, American Economic Association, vol. 82(4), pages 864-888, September.
    6. Razin, A., 1993. "The Dynamic-Optimizing Approach to the Current Account: Theory and Evidence," Papers 2-93, Tel Aviv - the Sackler Institute of Economic Studies.
    7. Canova, Fabio & Ravn, Morten O, 1996. "International Consumption Risk Sharing," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(3), pages 573-601, August.
    8. Andrew Atkeson & Tamim Bayoumi, 1993. "Do private capital markets insure regional risk? Evidence from the United States and Europe," Open Economies Review, Springer, vol. 4(3), pages 303-324, September.
    9. Costello, Donna M, 1993. "A Cross-Country, Cross-Industry Comparison of Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 207-222, April.
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    Cited by:

    1. Aart Kraay & Jaume Ventura, 2007. "Comparative Advantage and the Cross-section of Business Cycles," Journal of the European Economic Association, MIT Press, vol. 5(6), pages 1300-1333, December.
    2. Aart Kraay & Jaume Ventura, 2000. "Current Accounts in Debtor and Creditor Countries," The Quarterly Journal of Economics, Oxford University Press, vol. 115(4), pages 1137-1166.
    3. 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.
    4. Driscoll, John & Kraay, Aart, 1995. "Spatial correlations in panel data," Policy Research Working Paper Series 1553, The World Bank.
    5. Maswana, Jean-Claude, 2010. "Will China’s Recovery Affect Africa’s Prospects for Economic Growth?," Working Papers 19, JICA Research Institute.


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