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Trade and Synchronization in a Multi Country Economy

  • Paulo Santos Monteiro

    (University of Warwick)

  • Luciana Juvenal

    (Federal Reserve Bank of St Louis)

Substantial evidence suggests that countries with stronger trade linkages have more synchronized business cycles. The standard international business cycle framework cannot replicate this finding, uncovering the trade-comovement puzzle. We show that under certain macro-level conditions but irrespective of the micro-level assumptions concerning trade the puzzle arises because trade fails to substantially increase the correlation between each country's import penetration ratio and the trade partner's technology shock. Within a large class of trade models, there are three channels through which bilateral trade may increase business cycle synchronization. Specifically, increased bilateral trade may (i) raise the correlation between each country's technology shocks, (ii) raise the correlation between each country's share of expenditure on domestic goods, and (iii) raise the response of the domestic import penetration ratio to foreign technology shocks. Empirical evidence strongly supports the first and second channels. We show that the trade-comovement puzzle can be resolved if productivity shocks are more correlated between country-pairs that trade more.

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Paper provided by Society for Economic Dynamics in its series 2012 Meeting Papers with number 59.

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Date of creation: 2012
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Handle: RePEc:red:sed012:59
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  1. Jaimovich, Nir & Rebelo, Sérgio, 2006. "Can News About the Future Drive the Business Cycle?," CEPR Discussion Papers 5877, C.E.P.R. Discussion Papers.
  2. César Calderón & Alberto Chong & Ernesto Stein, 2002. "Trade Intensity and Business Cycle Synchronization: Are Developing Countries Any Different?," Working Papers Central Bank of Chile 195, Central Bank of Chile.
  3. Heathcote, Jonathan & Perri, Fabrizio, 1999. "Financial Autarky and International Business Cycles," SSE/EFI Working Paper Series in Economics and Finance 320, Stockholm School of Economics, revised 30 Apr 2000.
  4. James E. Anderson & Eric van Wincoop, 2003. "Gravity with Gravitas: A Solution to the Border Puzzle," American Economic Review, American Economic Association, vol. 93(1), pages 170-192, March.
  5. Imbs, Jean, 2003. "Trade, Finance, Specialization and Synchronization," CEPR Discussion Papers 3779, C.E.P.R. Discussion Papers.
  6. David Backus & Patrick J. Kehoe & Finn E. Kydland, 1992. "Dynamics of the Trade Balance and the Terms of Trade: The S-Curve," NBER Working Papers 4242, National Bureau of Economic Research, Inc.
  7. Hirokazu Ishise, 2011. "The World Has More Than Two Countries: Implications of Multi- Country International Real Business Cycle Models," IMES Discussion Paper Series 11-E-11, Institute for Monetary and Economic Studies, Bank of Japan.
  8. Andrew B. Bernard & Jonathan Eaton & J. Bradford Jensen & Samuel Kortum, 2003. "Plants and Productivity in International Trade," American Economic Review, American Economic Association, vol. 93(4), pages 1268-1290, September.
  9. Krugman, Paul, 1980. "Scale Economies, Product Differentiation, and the Pattern of Trade," American Economic Review, American Economic Association, vol. 70(5), pages 950-59, December.
  10. Julian di Giovanni & Andrei A. Levchenko, 2008. "Putting the Parts Together: Trade, Vertical Linkages, and Business Cycle Comovement," Working Papers 580, Research Seminar in International Economics, University of Michigan.
  11. Baxter, Marianne & Kouparitsas, Michael A., 2005. "Determinants of business cycle comovement: a robust analysis," Journal of Monetary Economics, Elsevier, vol. 52(1), pages 113-157, January.
  12. Christian Zimmermann, 1995. "International Real Business Cycles among Heterogeneous Countries," Cahiers de recherche CREFE / CREFE Working Papers 38, CREFE, Université du Québec à Montréal.
  13. Costas Arkolakis & Arnaud Costinot & Andrés Rodríguez-Clare, 2009. "New Trade Models, Same Old Gains?," NBER Working Papers 15628, National Bureau of Economic Research, Inc.
  14. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
  15. Costas Arkolakis & Ananth Ramanarayanan, 2009. "Vertical Specialization and International Business Cycle Synchronization," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 655-680, December.
  16. M. Ayhan Kose & Kei-Mu Yi, 2001. "International Trade and Business Cycles: Is Vertical Specialization the Missing Link?," American Economic Review, American Economic Association, vol. 91(2), pages 371-375, May.
  17. Costas Arkolakis & Svetlana Demidova & Peter J. Klenow & Andrés Rodríguez-Clare, 2008. "Endogenous Variety and the Gains from Trade," NBER Working Papers 13933, National Bureau of Economic Research, Inc.
  18. Robert C. Johnson, 2012. "Trade in Intermediate Inputs and Business Cycle Comovement," NBER Working Papers 18240, National Bureau of Economic Research, Inc.
  19. James Heckman & Edward Vytlacil, 1998. "Instrumental Variables Methods for the Correlated Random Coefficient Model: Estimating the Average Rate of Return to Schooling When the Return is Correlated with Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 974-987.
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