IDEAS home Printed from https://ideas.repec.org/p/stl/stlewp/95-12.html
   My bibliography  Save this paper

Efficient Access to Large Datasets for Linear Regression Models

Author

Listed:
  • Felix Ritchie

Abstract

No abstract is available for this item.

Suggested Citation

  • Felix Ritchie, 1995. "Efficient Access to Large Datasets for Linear Regression Models," Working Papers Series 95/12, University of Stirling, Division of Economics.
  • Handle: RePEc:stl:stlewp:95/12
    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.

    References listed on IDEAS

    as
    1. Hanley, Nick, 1990. "The Economics of Nitrate Pollution," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 17(2), pages 129-151.
    2. Nick Hanley, 1990. "The Economics of Nitrate Pollution Control in the UK," Working Papers Series 90/5, University of Stirling, Division of Economics.
    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. Cornelissen, Thomas & Hübler, Olaf, 2007. "Unobserved Individual and Firm Heterogeneity in Wage and Tenure Functions: Evidence from German Linked Employer-Employee Data," IZA Discussion Papers 2741, Institute for the Study of Labor (IZA).

    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:stl:stlewp:95/12. 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: (Liam Delaney). General contact details of provider: http://edirc.repec.org/data/destiuk.html .

    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.