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Finite sample power of Cliff-Ord-type-tests for spatial disturbance correlation in linear regression

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  • Krämer, Walter

Abstract

The paper considers tests against for autocorrelation among the disturbances in linear regression models that can be expressed as ratios of quadratic forms. It shows that such tests are in general not unbiased and that power can even drop to zero for certain regressors and spatial weight matrices. Whether or not this can happen is however easily diagnosed for given regressors and for given spatial weights.

Suggested Citation

  • Krämer, Walter, 2002. "Finite sample power of Cliff-Ord-type-tests for spatial disturbance correlation in linear regression," Technical Reports 2002,37, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200237
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    References listed on IDEAS

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    1. Kramer, Walter & Zeisel, Helmut, 1990. "Finite sample power of linear regression autocorrelation tests," Journal of Econometrics, Elsevier, vol. 43(3), pages 363-372, March.
    2. Bartels, Cornelis P. A. & Hordijk, Leen, 1977. "On the power of the generalized Moran contiguity coefficient in testing for spatial autocorrelation among regression disturbances," Regional Science and Urban Economics, Elsevier, vol. 7(1-2), pages 83-101, March.
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