This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Is the earnings-schooling relationship linear? a semiparametric analysis

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Lawrence Dacuycuy () (Graduate School of Economics, Kyoto University)
Abstract

Using data from Labor Force Surveys (LFS), this study implements additive models to analyze the impact of schooling on wages. It also uses the Sperlich, Tjostheim and Yang (2002) test to validate the existence of interaction terms. Results confirm that the earnings-schooling relationship exhibits convexity. However, the degree to which the said relationship is convex is materially affected by the presence of the interaction component in the additive wage function.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.accessecon.com/pubs/EB/2005/Volume3/EB-05C10007A.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Article provided by AccessEcon in its journal Economics Bulletin.

Volume (Year): 3 (2005)
Issue (Month): 37 ()
Pages: 1-8
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ebl:ecbull:v:3:y:2005:i:37:p:1-8

Contact details of provider:

For technical questions regarding this item, or to correct its listing, contact: (John P. Conley).

Related research
Keywords: schooling;

Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
I2 - Health, Education, and Welfare - - Education

Statistics
Access and download statistics

Did you know? IDEAS is also providing many rankings, for example of authors and institutions.

This page was last updated on 2010-1-6.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.