Does Learning to Add up Add up? The Returns to Schooling in Aggregate Data
The theoretical, conceptual, and practical difficulties with the use of cross-national data on schooling are so severe using aggregate data for any purpose for which individual level data would do should be avoided. There are, however, three questions for which the use of cross-national data on schooling could potentially help answer interesting questions for which individual data is insufficient. First, do differences in the evolution and dynamics of schooling help explain the big facts about the evolution and dynamics of output growth? Largely, no. Second, the existence and magnitude of output externalities to schooling is an important question with possible normative policy implications, and evidence for externalities requires at least some level of spatial aggregation. Does the cross-national data provide support for output externalities? Largely, no. Third, cross-national (or more broadly spatially aggregated) data allows the exploration of the impact on returns to schooling (or in the gap between private and social returns) of differences in economic environments. This last question seems a promising line for future research.
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.
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.
|This chapter was published in: ||This item is provided by Elsevier in its series Handbook of the Economics of Education with number
1-11.||Handle:|| RePEc:eee:educhp:1-11||Contact details of provider:|| Web page: http://www.elsevierdirect.com/product.jsp?isbn=9780444513991|
When requesting a correction, please mention this item's handle: RePEc:eee:educhp:1-11. 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: (Dana Niculescu)
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.