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Skill Composition: Exploring a Wage-based Skill Measure

Author

Listed:
  • 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

Suggested Citation

  • Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2008. "Skill Composition: Exploring a Wage-based Skill Measure," Discussion Papers 531, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:531
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    File URL: http://www.ssb.no/a/publikasjoner/pdf/DP/dp531.pdf
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    References listed on IDEAS

    as
    1. 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, April.
    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 555-576, December.
    3. Borghans, Lex & Green, Francis & Mayhew, Ken, 2001. "Skills Measurement and Economic Analysis: An Introduction," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 375-384, July.
    4. 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.
    5. Judith K. Hellerstein & David Neumark, 2007. "Production Function and Wage Equation Estimation with Heterogeneous Labor: Evidence from a New Matched Employer-Employee Data Set," NBER Chapters,in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 31-71 National Bureau of Economic Research, Inc.
    6. 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, September.
    7. 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.
    8. Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2005. "Lumpy Investments, Factor Adjustments and Productivity," Discussion Papers 441, Statistics Norway, Research Department.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Skill composition; wages; TFP;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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