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Test for cointegration based on two-stage least squares


  • Norah Al-Ballaa


A residual-based test for cointegration is proposed. The method of two-stage least squares is used to estimate the cointegration model parameters. The residuals are then tested for the existence of a unit root using the augmented Dickey-Fuller test.

Suggested Citation

  • Norah Al-Ballaa, 2005. "Test for cointegration based on two-stage least squares," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(7), pages 707-713.
  • Handle: RePEc:taf:japsta:v:32:y:2005:i:7:p:707-713 DOI: 10.1080/02664760500079571

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    References listed on IDEAS

    1. Cheng Hsiao, 1997. "Statistical Properties of the Two-Stage Least Squares Estimator Under Cointegration," Review of Economic Studies, Oxford University Press, vol. 64(3), pages 385-398.
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    15. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
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    Cited by:

    1. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    2. Parajuli, Rajan & Zhang, Daowei & Chang, Sun Joseph, 2016. "Modeling stumpage markets using vector error correction vs. simultaneous equation estimation approach: A case of the Louisiana sawtimber market," Forest Policy and Economics, Elsevier, vol. 70(C), pages 16-19.


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