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Technology, Labor Characteristic and Wage-productivity Gaps

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  • Ilmakunnas, Pekka
  • Maliranta, Mika

Abstract

We use plant‐level employer–employee data in production functions and wage equations to examine whether wages are based on productivity. We use a stepwise procedure to find out how the results are influenced by the kind of data that is available. The models include shares of employee groups based on age, level and field of education, and sex. The gap between the age‐related wage and productivity effects increases with age. Education increases productivity, but wage under‐compensates productivity especially for those with the highest level of non‐technical education. For women the results depend greatly on the specification and method used.
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  • Ilmakunnas, Pekka & Maliranta, Mika, 2003. "Technology, Labor Characteristic and Wage-productivity Gaps," Discussion Papers 860, The Research Institute of the Finnish Economy.
    • Handle: RePEc:rif:dpaper:860
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    References listed on IDEAS

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    1. Haltiwanger, John C. & Lane, Julia I. & Spletzer, James R., 2007. "Wages, productivity, and the dynamic interaction of businesses and workers," Labour Economics, Elsevier, vol. 14(3), pages 575-602, June.
    2. 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.
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