Advanced Search
MyIDEAS: Login to save this paper or follow this series

Skill Composition: Exploring a Wage-based Skill Measure

Contents:

Author Info

  • Øivind A. Nilsen
  • Arvid Raknerud
  • Marina Rybalka
  • Terje Skjerpen

    ()
    (Statistics Norway)

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

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. 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.ssb.no/a/publikasjoner/pdf/DP/dp531.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 531.

as in new window
Length:
Date of creation: Feb 2008
Date of revision:
Handle: RePEc:ssb:dispap:531

Contact details of provider:
Postal: P.O.Box 8131 Dep, N-0033 Oslo, Norway
Phone: (+47) 21 09 00 00
Fax: (+47) 21 09 49 73
Email:
Web page: http://www.ssb.no/en/
More information through EDIRC

Related research

Keywords: Skill composition; wages; TFP;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
  2. Haegeland, Torbjorn & Klette, Tor Jakob & Salvanes, Kjell G, 1999. " Declining Returns to Education in Norway? Comparing Estimates across Cohorts, Sectors and Over Time," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(4), pages 555-76, December.
  3. Susana Iranzo & Fabiano Schivardi & Elisa Tosetti, 2008. "Skill Dispersion and Firm Productivity: An Analysis with Employer-Employee Matched Data," Journal of Labor Economics, University of Chicago Press, vol. 26(2), pages 247-285, 04.
  4. Judith Hellerstein & David Neumark, 2004. "Production Function and Wage Equation Estimation with Heterogenous Labor: Evidence from a New Matched Employer-Employee Dataset," Working Papers 04-05, Center for Economic Studies, U.S. Census Bureau.
  5. Borghans, Lex & Green, Francis & Mayhew, Ken, 2001. "Skills Measurement and Economic Analysis: An Introduction," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 375-84, July.
  6. Charles R. Hulten, 2001. "Total Factor Productivity. A Short Biography," NBER Chapters, in: New Developments in Productivity Analysis, pages 1-54 National Bureau of Economic Research, Inc.
  7. Arvid Raknerud & Dag Rønningen & Terje Skjerpen, 2007. "A Method For Improved Capital Measurement By Combining Accounts And Firm Investment Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(3), pages 397-421, 09.
  8. Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2005. "Lumpy Investments, Factor Adjustments and Productivity," Discussion Papers 441, Research Department of Statistics Norway.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ssb:dispap:531. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (J Bruusgaard).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.