Advanced Search
MyIDEAS: Login

Earnings Inequality and Skill-Biased Technological Change with Endogenous Choice of Education

Contents:

Author Info

  • Árpád Ábrahám

Abstract

This article analyzes the impact of stochastic skill-biased technological change on earnings inequality in a general equilibrium OLG model. Wage dispersion is determined by the heterogeneity of skills by allowing for productivity differences due to education, ability, and age. The model performs well in reproducing stylized facts on the time pattern of the U.S. wage distribution and human capital accumulation. In particular, it shows that slow adjustment of the supply of educated labor can itself explain the nonmonotonic time pattern of the college premium. (JEL: D31, J24, J31) (c) 2008 by the European Economic Association.

Download Info

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://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1542-4774/issues
File Function: link to full text
Download Restriction: Access to full text is restricted to subscribers.

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.

Bibliographic Info

Article provided by MIT Press in its journal Journal of the European Economic Association.

Volume (Year): 6 (2008)
Issue (Month): 2-3 (04-05)
Pages: 695-704

as in new window
Handle: RePEc:tpr:jeurec:v:6:y:2008:i:2-3:p:695-704

Contact details of provider:
Web page: http://www.mitpressjournals.org/jeea

Order Information:
Web: http://www.mitpressjournals.org/jeea

Related research

Keywords:

Find related papers by JEL classification:

References

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

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:tpr:jeurec:v:6:y:2008:i:2-3:p:695-704. 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: (Karie Kirkpatrick).

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.