EconPapers    
Economics at your fingertips  
 

Structural estimates of the intergenerational education correlation An earlier version of this paper was presented at the conference 'The Econometrics of Strategic Decision Making' held at Yale University (Cowles Foundation) in May 2000

Christian Belzil and Jorgen Hansen

Journal of Applied Econometrics, 2003, vol. 18, issue 6, 679-696

Abstract: Using a structural dynamic programming model, we investigate the relative importance of family background variables and individual specific abilities in explaining cross-sectional differences in schooling attainments and wages. Each type of ability is the sum of one component correlated with family background variables and a residual (orthogonal) component which is purely individual specific. Household background variables (especially parents' education) account for 68% of the explained cross-sectional variations in schooling attainments, while ability correlated with background variables accounts for 17% and pure individual specific ability accounts for 15%. Interestingly, individual differences in wages are mostly explained by pure individual specific abilities as they account for as much as 73% of the explained variations in wages. Family background variables account for only 19%, while ability endowments correlated with family background account for 8%. Copyright © 2003 John Wiley & Sons, Ltd.

Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1002/jae.716 Link to full text; subscription required (text/html)
http://qed.econ.queensu.ca:80/jae/2003-v18.6/ Supporting data files and programs (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jae:japmet:v:18:y:2003:i:6:p:679-696

Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252

DOI: 10.1002/jae.716

Access Statistics for this article

Journal of Applied Econometrics is currently edited by M. Hashem Pesaran

More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().

 
Page updated 2025-03-31
Handle: RePEc:jae:japmet:v:18:y:2003:i:6:p:679-696