Industry estimates of the elasticity of substitution and the rate of biased technological change between skilled and unskilled labour
William Blankenau () and
Steven Cassou ()
Applied Economics, 2011, vol. 43, issue 23, 3129-3142
Abstract:
We estimate the elasticity of substitution between skilled and unskilled labour and the pace of skill-biased technological change at the industry level. The data is compiled from the March extract of the Current Population Survey (CPS) from 1968 to 2006. Industry information provided by the survey is used to group workers into 13 industry categories and education levels are used to dichotomize workers as skilled or unskilled. We construct measures of the ratio of skilled to unskilled employment and the ratio of skilled to unskilled wages in each industry. Using a relationship implied by profit maximizing behaviour on the part of representative firms, this data generates estimates of structural parameters. We find considerable differences across industries in the elasticity of substitution between skilled and unskilled labour. Furthermore, while most industries have experienced skill-biased technological change, the pace of this change has varied widely across industries.
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (26)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840903476361 (text/html)
Access to full text is restricted to subscribers.
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:taf:applec:v:43:y:2011:i:23:p:3129-3142
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036840903476361
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().