IDEAS home Printed from https://ideas.repec.org/p/qed/wpaper/211.html
   My bibliography  Save this paper

Alternative Maximum Likelihood Procedures for Regression with Autocorrelated Disturbances

Author

Listed:
  • Charles M. Beach
  • James G. MacKinnon

Abstract

The widely used Cochrane-Orcutt and Hildreth-Lu procedures for estimating the parameters of a linear regression model with first-order serial correlation typically ignore the first observation. An alternative maximum likelihood procedure is recommended in this paper. This procedure is preferable to conventional ones on theoretical grounds, and sampling experiments suggest that it may yield substantially better estimates in some circumstances.

Suggested Citation

  • Charles M. Beach & James G. MacKinnon, 1976. "Alternative Maximum Likelihood Procedures for Regression with Autocorrelated Disturbances," Working Paper 211, Economics Department, Queen's University.
    • Handle: RePEc:qed:wpaper:211
    as

    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.

    More about this item

    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:qed:wpaper:211. 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: Mark Babcock (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.html .

    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.