IDEAS home Printed from https://ideas.repec.org/a/taf/emetrv/v19y2000i1p139-144.html
   My bibliography  Save this article

Remark on pseudo-generalized least squares

Author

Listed:
  • Jorgen Grofi
  • Simo Puntanen

Abstract

We briefly discuss the so called pseudo-GLS estimator in a standard linear regression model with nonsperical disturbances, and conclude that the potentiality for applications is higher than originally assumed by Fiebig Bartels and Kramer (1996).

Suggested Citation

  • Jorgen Grofi & Simo Puntanen, 2000. "Remark on pseudo-generalized least squares," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 139-144.
  • Handle: RePEc:taf:emetrv:v:19:y:2000:i:1:p:139-144
    DOI: 10.1080/07474930008800462
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/07474930008800462
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/07474930008800462?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

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


    Cited by:

    1. Alan J. Rogers, 2013. "Concentration Ellipsoids, Their Planes of Support, and the Linear Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 220-243, February.

    More about this item

    Keywords

    C13; C20;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - 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:taf:emetrv:v:19:y:2000:i:1:p:139-144. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: http://www.tandfonline.com/LECR20 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.