IDEAS home Printed from
   My bibliography  Save this paper

On the robustness of the F-test to autocorrelation among disturbances


  • Krämer, Walter


No abstract is available for this item.

Suggested Citation

  • Krämer, Walter, 1986. "On the robustness of the F-test to autocorrelation among disturbances," Hannover Economic Papers (HEP) dp-097, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  • Handle: RePEc:han:dpaper:dp-097

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    1. Bellmann, Lutz & Hübler, Olaf, 2014. "Skill Shortages in German Establishments," IZA Discussion Papers 8290, Institute for the Study of Labor (IZA).
    2. Horbach, Jens, 2014. "Determinants of labor shortage - with particular focus on the German environmental sector," IAB Discussion Paper 201422, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Bellmann Lutz & Hübler Olaf, 2014. "The Skill Shortage in German Establishments Before, During and After the Great Recession," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(6), pages 800-828, December.
    4. Karl Brenke, 2010. "Fachkräftemangel kurzfristig noch nicht in Sicht," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(46), pages 2-15.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Badi H. Baltagi & Chihwa Kao & Long Liu, 2013. "The Estimation and Testing of a Linear Regression with Near Unit Root in the Spatial Autoregressive Error Term," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 241-270, September.
    2. Banerjee, Anurag N. & Magnus, Jan R., 2000. "On the sensitivity of the usual t- and F-tests to covariance misspecification," Journal of Econometrics, Elsevier, vol. 95(1), pages 157-176, March.
    3. Badi Baltagi & Chihwa Kao & Sanggon Na, 2013. "Testing for cross-sectional dependence in a panel factor model using the wild bootstrap $$F$$ test," Statistical Papers, Springer, vol. 54(4), pages 1067-1094, November.
    4. Preinerstorfer, David & Pötscher, Benedikt M., 2016. "On Size And Power Of Heteroskedasticity And Autocorrelation Robust Tests," Econometric Theory, Cambridge University Press, vol. 32(02), pages 261-358, April.
    5. Krämer, Walter, 2002. "The robustness of the F-test to spatial autocorrelation among regression disturbances," Technical Reports 2002,56, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    6. Kramer, Walter & Michels, Sonja, 1997. "Autocorrelation- and heteroskedasticity-consistent t-values with trending data," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 141-147.
    7. Krämer, Walter & Hanck, Christoph, 2008. "More on the F-test under nonspherical disturbances," Technical Reports 2008,14, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:han:dpaper:dp-097. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Heidrich, Christian). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.