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The Applications of the Durbin-Watson Test to the Dynamic Regression Model Under Normal and Non-Normal Errors

Author

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  • King, M.L.
  • Harris, D.C.

Abstract

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Suggested Citation

  • King, M.L. & Harris, D.C., 1995. "The Applications of the Durbin-Watson Test to the Dynamic Regression Model Under Normal and Non-Normal Errors," Monash Econometrics and Business Statistics Working Papers 6/95, Monash University, Department of Econometrics and Business Statistics.
    • Handle: RePEc:msh:ebswps:1995-6
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    Cited by:

    1. Abiloro, T. O & Ilugbami, J. O., 2023. "Regulatory Institutions and National Economic Development in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(5), pages 1552-1575, May.
    2. Atukorala, Ranjani & Sriananthakumar, Sivagowry, 2015. "A comparison of the accuracy of asymptotic approximations in the dynamic regression model using Kullback-Leibler information," Economic Modelling, Elsevier, vol. 45(C), pages 169-174.
    3. Sriananthakumar, Sivagowry, 2015. "Approximate Non-Similar critical values based tests vs Maximized Monte Carlo tests," Economic Modelling, Elsevier, vol. 49(C), pages 387-394.
    4. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.
    5. Ranjani Atukorala & Maxwell L. King & Sivagowry Sriananthakumar, 2014. "Applications of Information Measures to Assess Convergence in the Central Limit Theorem," Monash Econometrics and Business Statistics Working Papers 29/14, Monash University, Department of Econometrics and Business Statistics.

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    Keywords

    ECONOMETRICS; Durbin-Watson Test;

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