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

Measurement Error Bias In Returns To Education: Evidence From A Developing Country - Sri Lanka

  • Rasika Ranasinghe

    ()

    (Department of Economics, Connecticut College)

  • Thomas Hertz

    ()

    (Department of Economics, American University)

There is a continuing debate about the size and direction of the bias in estimates of returns to education. Evidence from developing countries is particularly scarce. This paper addresses the problem of measurement error bias in returns to schooling for Sri Lanka, by exploiting dual measurements of reported schooling for a sub-sample of the data and deriving a reliability estimate of schooling. This is used to obtain measurement error corrected fixed effects estimates of the proportionate increase associated with an additional level of schooling. This corrected measure is 5.5%, which is less than the OLS estimate of 7.8% for two person households.

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://www.jed.or.kr/full-text/33-2/5.pdf
Download Restriction: no

Article provided by Chung-Ang Unviersity, Department of Economics in its journal Journal Of Economic Development.

Volume (Year): 33 (2008)
Issue (Month): 2 (December)
Pages: 107-124

as
in new window

Handle: RePEc:jed:journl:v:33:y:2008:i:2:p:107-124
Contact details of provider: Web page: http://www.jed.or.kr/

More information through EDIRC

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:jed:journl:v:33:y:2008:i:2:p:107-124. 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: (Changhui Kang)

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.