Factors Affecting the Transmission of Earnings across Generations: A Quantile Regression Approach

Eric R. Eide and Mark Showalter ()

Journal of Human Resources, 1999, vol. 34, issue 2, 253-267

Abstract: In this paper we estimate intergenerational earnings mobility models using quantile regressions. Quantile regression is a less restrictive estimation approach than more commonly used methods such as ordinary least squares and instrumental variables, which only estimate the mean effects of intergenerational earnings correlation. Further, we investigate the role of education as an intergenerational transmission mechanism for earnings. We find that the intergenerational earnings correlation is greater at the bottom of the son's conditional earnings distribution than at the top, and that controlling for son's education reduces the intergenerational earnings correlation. We also find that education is relatively more valuable at the bottom of the conditional earnings distribution and thus tends to compress the distribution.

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (101)

Downloads: (external link)
http://www.jstor.org/stable/pdfplus/146345
A subscription is required to access pdf files. Pay per article is available.

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:uwp:jhriss:v:34:y:1999:i:2:p:253-267

Access Statistics for this article

More articles in Journal of Human Resources from University of Wisconsin Press
Bibliographic data for series maintained by ().