Skill Composition: Exploring a Wage-based Skill Measure
Øivind Nilsen,
Arvid Raknerud,
Marina Rybalka and
Terje Skjerpen
Discussion Papers from Statistics Norway, Research Department
Abstract:
Most studies of heterogeneous labor inputs use classifications of high skilled and low skilled based on workers' educational attainment. In this study we explore a wage-based skill measure using information from a wage equation. Evidence from matched employer--employee data show that skill is attributable to many variables other than educational length, for instance experience and type of education. Applying our wage-based skill measure to a TFP growth analysis, we find that the TFP residual decreases, indicating that more of the change in value-added is picked up by our skill measure than when using a purely education-based measure of skill
Keywords: Skill composition; wages; TFP (search for similar items in EconPapers)
JEL-codes: C23 D24 J31 (search for similar items in EconPapers)
Date: 2008-02
New Economics Papers: this item is included in nep-bec, nep-hrm and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.ssb.no/a/publikasjoner/pdf/DP/dp531.pdf (application/pdf)
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:ssb:dispap:531
Access Statistics for this paper
More papers in Discussion Papers from Statistics Norway, Research Department P.O.Box 8131 Dep, N-0033 Oslo, Norway. Contact information at EDIRC.
Bibliographic data for series maintained by L Maasø (lma@ssb.no).