IDEAS home Printed from
   My bibliography  Save this paper

Is The Export-Lead Growth Hypothesis Valid For Canada?


  • Awokuse, Titus O.


Empirical evidence linking exports to economic growth has been mixed and inconclusive. This study re-examine the export-led growth (ELG) hypothesis for Canada by testing for Granger causality from exports to national output growth using vector error correction models (VECM) and the augmented vector autoregressive (VAR) methodology developed in Toda and Yamamoto (1995). Application of recent developments in time series modeling and the inclusion of relevant variables omitted in previous studies help clarify the contradictory results from prior studies on the Canadian economy. The empirical results suggest that a long-run steady state exists among the model's six variables and that Granger causal flow is unidirectional from real exports to real GDP.

Suggested Citation

  • Awokuse, Titus O., 2002. "Is The Export-Lead Growth Hypothesis Valid For Canada?," Staff Papers 15823, University of Delaware, Department of Food and Resource Economics.
  • Handle: RePEc:ags:udelsp:15823

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. Salim M. Darbar & Partha Deb, 1997. "Co-Movements In International Equity Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(3), pages 305-322, September.
    2. Anne E. Peck, 1976. "Futures Markets, Supply Response, and Price Stability," The Quarterly Journal of Economics, Oxford University Press, vol. 90(3), pages 407-423.
    3. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    4. Peter S. Sephton, 1993. "Optimal Hedge Ratios at the Winnipeg Commodity Exchange," Canadian Journal of Economics, Canadian Economics Association, vol. 26(1), pages 175-193, February.
    5. Anil K. Bera & Philip Garcia & Jae-Sun Roh, 1997. "Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches," Finance 9712007, EconWPA.
    6. Seung‐Ryong Yang & B. Wade Brorsen, 1993. "Nonlinear dynamics of daily futures prices: Conditional heteroskedasticity or chaos?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(2), pages 175-191, April.
    7. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    8. Michael S. Haigh & Matthew T. Holt, 2000. "Hedging Multiple Price Uncertainty in International Grain Trade," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 881-896.
    9. Baillie, Richard T & Myers, Robert J, 1991. "Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(2), pages 109-124, April-Jun.
    10. Seung-Ryong Yang & B. Wade Brorsen, 1992. "Nonlinear Dynamics of Daily Cash Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 706-715.
    11. J. Marvin Skadberg & Gene A. Futrell, 1966. "An Economic Appraisal of Futures Trading in Livestock," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 48(5), pages 1485-1489.
    12. Fleming, Jeff & Kirby, Chris & Ostdiek, Barbara, 1998. "Information and volatility linkages in the stock, bond, and money markets," Journal of Financial Economics, Elsevier, vol. 49(1), pages 111-137, July.
    Full references (including those not matched with items on IDEAS)

    More about this item


    International Development; International Relations/Trade; F43; C32;

    JEL classification:

    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • 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


    Access and download statistics


    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:ags:udelsp:15823. 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: (AgEcon Search). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.