IDEAS home Printed from https://ideas.repec.org/a/taf/rseexx/v37y2013i2p95-114.html
   My bibliography  Save this article

More Countries, Similar Results: A Nonlinear Programming Approach to Normalising test Scores Needed for Growth Regressions

Author

Listed:
  • M Gustafsson

Abstract

Analysts such as Hanushek and Woessman have brought to the fore the deceptiveness of education enrolments, or years of schooling, in growth regressions and the need to consider educational quality. In this paper, a nonlinear programming solution is proposed as a way of normalising to a single scale country average test scores from various international testing programmes. This method, though less transparent and more dependent on certain subjective choices than the existing approach put forward by Hanushek and Woessman, allows for the inclusion of more countries, in particular more African and developing countries, into a growth regression. The regression produces the results one would expect, namely a strong conditional correlation between growth and educational quality. The utility of growth regressions with an educational quality variable for the education policymaker is discussed. A method for arriving at feasible annual improvements in educational quality and hence feasible country targets is presented.

Suggested Citation

  • M Gustafsson, 2013. "More Countries, Similar Results: A Nonlinear Programming Approach to Normalising test Scores Needed for Growth Regressions," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 37(2), pages 95-114, August.
    • Handle: RePEc:taf:rseexx:v:37:y:2013:i:2:p:95-114
    DOI: 10.1080/10800379.2013.12097251
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10800379.2013.12097251
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10800379.2013.12097251?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.

    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:taf:rseexx:v:37:y:2013:i:2:p:95-114. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rsee .

    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.