IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/8600.html
   My bibliography  Save this paper

Trade Linkages and Output-Multiplier Effects: A Structural VAR Approach with a Focus on Asia

Author

Listed:
  • Tilak Abeysinghe
  • Kristin J. Forbes

Abstract

This paper develops a structural VAR model to measure how a shock to one country can affect the GDP of other countries. It uses trade linkages to estimate the multiplier effects of a shock as it is transmitted through other countries' output fluctuations. The paper introduces a new specification strategy that significantly reduces the number of unknowns and allows cross-country relationships to vary over time. Then it uses this model to examine the impact of shocks to 11 Asian countries, the U.S. and the rest of the OECD. The model produces reasonably good short-term forecasts. Impulse-response matrices suggest that these multiplier effects are large and significant and can transmit shocks in very different patterns than predicted from a bilateral-trade matrix. For example, due to these output-multiplier effects, a shock to one country can have a large impact on countries that are relatively minor bilateral trading partners.

Suggested Citation

  • Tilak Abeysinghe & Kristin J. Forbes, 2001. "Trade Linkages and Output-Multiplier Effects: A Structural VAR Approach with a Focus on Asia," NBER Working Papers 8600, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:8600
    Note: EFG IFM
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w8600.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-16.
    2. Zellner, Arnold & Palm, Franz, 1974. "Time series analysis and simultaneous equation econometric models," Journal of Econometrics, Elsevier, vol. 2(1), pages 17-54, May.
    3. Morris Goldstein, 1998. "Asian Financial Crisis: Causes, Cures and Systemic Implications, The," Peterson Institute Press: All Books, Peterson Institute for International Economics, number pa55.
    4. Glick, Reuven & Rose, Andrew K., 1999. "Contagion and trade: Why are currency crises regional?," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 603-617, August.
    5. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters,in: The American Business Cycle: Continuity and Change, pages 123-180 National Bureau of Economic Research, Inc.
    6. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    7. Tilak Abeysinghe & Kristin Forbes, 2005. "Trade Linkages and Output-Multiplier Effects: a Structural VAR Approach with a Focus on Asia," Review of International Economics, Wiley Blackwell, vol. 13(2), pages 356-375, May.
    8. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    9. Abeysinghe, Tilak, 2001. "Estimation of direct and indirect impact of oil price on growth," Economics Letters, Elsevier, vol. 73(2), pages 147-153, November.
    10. Kristin J. Forbes, 2002. "Are Trade Linkages Important Determinants of Country Vulnerability to Crises?," NBER Chapters,in: Preventing Currency Crises in Emerging Markets, pages 77-132 National Bureau of Economic Research, Inc.
    11. Kristin Forbes, 2000. "The Asian Flu and Russian Virus: Firm-level Evidence on How Crises are Transmitted Internationally," NBER Working Papers 7807, National Bureau of Economic Research, Inc.
    12. John Freebairn & Bill Griffiths, 2006. "Introduction," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 1-1, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:8600. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/nberrus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.