IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v8y2006i4p317-333.html
   My bibliography  Save this article

Multicollinearity in cross-sectional regressions

Author

Listed:
  • Jørgen Lauridsen

    ()

  • Jesùs Mur

    ()

Abstract

No abstract is available for this item.

Suggested Citation

  • Jørgen Lauridsen & Jesùs Mur, 2006. "Multicollinearity in cross-sectional regressions," Journal of Geographical Systems, Springer, vol. 8(4), pages 317-333, October.
  • Handle: RePEc:kap:jgeosy:v:8:y:2006:i:4:p:317-333
    DOI: 10.1007/s10109-006-0031-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10109-006-0031-z
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kumar, T Krishna, 1975. "Multicollinearity in Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 365-366, August.
    2. Wichers, C Robert, 1975. "The Detection of Multicollinearity: A Comment," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 366-368, August.
    3. Reinhold Kosfeld & Jørgen Lauridsen, 2008. "Factor analysis regression," Statistical Papers, Springer, vol. 49(4), pages 653-667, October.
    4. O'Hagan, John W & McCabe, Brendan, 1975. "Tests for the Severity of Multicollinearity in Regression Analysis: A Comment," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 368-370, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Catalina Garcia & José Pérez & José Liria, 2011. "The raise method. An alternative procedure to estimate the parameters in presence of collinearity," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 403-423, February.

    More about this item

    Keywords

    Multicollinearity; Cross-sectional regression; Spatial dependency; Misspecification tests; C21; C40; C51; J60;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

    Statistics

    Access and download statistics

    Corrections

    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:kap:jgeosy:v:8:y:2006:i:4:p:317-333. 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: (Sonal Shukla) or (Springer Nature Abstracting and Indexing). General contact details of provider: http://www.springer.com .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.