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On the power function of the Durbin-Watson test

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  • Bartels, Robert

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  • Bartels, Robert, 1992. "On the power function of the Durbin-Watson test," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 101-112.
    • Handle: RePEc:eee:econom:v:51:y:1992:i:1-2:p:101-112
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    Cited by:

    1. 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 405, Economics Division, School of Social Sciences, University of Southampton.
    2. Preinerstorfer, David & Pötscher, Benedikt M., 2017. "On The Power Of Invariant Tests For Hypotheses On A Covariance Matrix," Econometric Theory, Cambridge University Press, vol. 33(1), pages 1-68, February.
    3. Banerjee, A.N., 1997. "The sensitivity of estimates, inferences and forecasts of linear models," Other publications TiSEM 3238733e-f996-4fd9-95ec-0, Tilburg University, School of Economics and Management.
    4. Martellosio, Federico, 2008. "Power Properties of Invariant Tests for Spatial Autocorrelation in Linear Regression," MPRA Paper 7255, University Library of Munich, Germany.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Cappuccio, Nunzio & Lubian, Diego & Mistrorigo, Mirko, 2015. "The power of unit root tests under local-to-finite variance errors," Chaos, Solitons & Fractals, Elsevier, vol. 76(C), pages 205-217.

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