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On the power function of the Durbin-Watson test

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  • Bartels, Robert
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    File URL: http://www.sciencedirect.com/science/article/B6VC0-45BKWDH-8/2/8b1f109296b0bc6b64cd32eb2392d303
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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Econometrics.

    Volume (Year): 51 (1992)
    Issue (Month): 1-2 ()
    Pages: 101-112

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    Handle: RePEc:eee:econom:v:51:y:1992:i:1-2:p:101-112

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    Web page: http://www.elsevier.com/locate/jeconom

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    Cited by:
    1. Kleiber, Christian & Krämer, Walter, 2004. "Finite sample of the Durbin-Watson test against fractionally integrated disturbances," Technical Reports 2004,15, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Preinerstorfer, David & Pötscher, Benedikt M., 2014. "On the Power of Invariant Tests for Hypotheses on a Covariance Matrix," MPRA Paper 55059, University Library of Munich, Germany.
    3. Wan, Alan T.K. & Zou, Guohua & Banerjee, Anurag, 2007. "The power of autocorrelation tests near the unit root in models with possibly mis-specified linear restrictions," Economics Letters, Elsevier, vol. 94(2), pages 213-219, February.
    4. Kramer, Walter & Baltagi, Badi, 1996. "A general condition for an optimal limiting efficiency of OLS in the general linear regression model," Economics Letters, Elsevier, vol. 50(1), pages 13-17, January.
    5. Banerjee, Anurag N. & Magnus, Jan R., 1999. "The sensitivity of OLS when the variance matrix is (partially) unknown," Journal of Econometrics, Elsevier, vol. 92(2), pages 295-323, October.
    6. Banerjee, A.N., 1997. "The Sensitivity of Estimates, Inferences and Forecasts of Linear Models," Open Access publications from Tilburg University urn:nbn:nl:ui:12-74329, Tilburg University.
    7. Wan, Alan & Zou, Guohua & Banerjee, Anurag, 2004. "The limiting power of autocorrelation tests in regression models with linear restrictions," Discussion Paper Series In Economics And Econometrics 0405, Economics Division, School of Social Sciences, University of Southampton.
    8. Martellosio, Federico, 2008. "Power Properties of Invariant Tests for Spatial Autocorrelation in Linear Regression," MPRA Paper 7255, University Library of Munich, Germany.
    9. Banerjee, A.N. & Magnus, J.R., 1996. "Testing the Sensitivity of OLS when the Variance Maxtrix is (Partially) Unknown," Discussion Paper 1996-54, Tilburg University, Center for Economic Research.

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