IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

The effect of female and male schooling on economic growth in the Barro-Lee model

  • Paula K. Lorgelly

    ()

    (Department of Economics, University of Otago, PO Box 56, Dunedin, New Zealand)

  • P. Dorian Owen

    ()

    (Department of Economics, University of Otago, PO Box 56, Dunedin, New Zealand)

Barro and Lee (1994), in an influential empirical study of the determinants of economic growth, find that, whereas growth is positively related to male schooling, it is negatively related to female schooling. Stokey (1994) has suggested that this is largely due to the influence of four Asian countries (Hong Kong, Singapore, Taiwan and Korea) that have very high levels of growth but very low levels of female schooling, and that deleting the female education variable would cast doubt on the statistical significance of the male education variable. Deletion diagnostics and partial scatter plots are analysed to identify influential observations. The sensitivity of the Barro-Lee results to deleting selected countries from the sample and deleting female education from their growth equations is then examined. The results obtained point to the fragile nature of both the significant negative effect of female education and the significant positive effect of male education in the Barro-Lee model.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://link.springer.de/link/service/journals/00181/papers/9024003/90240537.pdf
Download Restriction: Access to the full text of the articles in this series is restricted

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 24 (1999)
Issue (Month): 3 ()
Pages: 537-557

as
in new window

Handle: RePEc:spr:empeco:v:24:y:1999:i:3:p:537-557
Note: received: September 1996/Final version received: December 1998
Contact details of provider: Postal: Stumpergasse 56, A-1060 Vienna
Phone: ++43 - (0)1 - 599 91 - 0
Fax: ++43 - (0)1 - 599 91 - 555
Web page: http://link.springer.de/link/service/journals/00181/index.htm

More information through EDIRC

Order Information: Web: http://link.springer.de/orders.htm

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:spr:empeco:v:24:y:1999:i:3:p:537-557. 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: (Guenther Eichhorn)

or (Christopher F Baum)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.