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Do Higher Wages Reflect Higher Productivity? Education, Gender and Experience Premiums in a Matched Plant-Worker Data Set

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Author Info
Torbjørn Hægeland and Tor Jakob Klette () (Statistics Norway)

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Abstract

Do wage differences between workers with high and low levels of education, between males and females and between workers with different levels of experience reflect differences in productivity? We address this set of questions on the basis of a data set with variables for individual workers matched with a comprehensive data set for manufacturing plants in Norway for the period 1986-93. The results suggest that workers with higher education tend to be more productive, roughly in accordance to their wage premium. Female workers are cet. par. found to be less productive than male workers, and this is reflected in their wages. Experienced workers are on average found to be more productive. For workers with 8 to 15 years of experience, the productivity premium exceeds the wage premium, while the opposite is the case for workers with more than 15 years of experience.

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Publisher Info
Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 208.

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Date of creation: Dec 1997
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Handle: RePEc:ssb:dispap:208

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Related research
Keywords: Education; Gender; Experience; Wage differences; productivity; Plant level data; individual worker data;

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Find related papers by JEL classification:
J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

Cited by:
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  1. Benoit Dostie, 2006. "Wages, Productivity and Aging," Cahiers de recherche 0645, CIRPEE. [Downloadable!]
    Other versions:
  2. Thierry Lallemand & François Rycx, 2009. "Are Young and Old WorkersS Harmful for Firm Productivity ?," Working Papers CEB 09-002.RS, Université Libre de Bruxelles, Solvay Brussels School of Economics and Management, Centre Emile Bernheim (CEB). [Downloadable!]
    Other versions:
  3. Pekka Ilmakunnas & Mika Maliranta & Jari Vainiomaki, 2000. "The Roles of Employer and Employee Characteristics for Plant Productivity," Econometric Society World Congress 2000 Contributed Papers 1349, Econometric Society. [Downloadable!]
  4. Judith Hellerstein & David Neumark, 2005. "Using Matched Employer-Employee Data to Study Labor Market Discrimination," IZA Discussion Papers 1555, Institute for the Study of Labor (IZA). [Downloadable!]
  5. Stephen Pudney, . "Pay Differentials, Discrimination and Worker Grievances," Discussion Papers in Public Sector Economics 00/5, Department of Economics, University of Leicester. [Downloadable!]
  6. Vegard Skirbekk, 2003. "Age and individual productivity: a literature survey," MPIDR Working Papers WP-2003-028, Max Planck Institute for Demographic Research, Rostock, Germany. [Downloadable!]
  7. Gudrun Biffl & Joseph E. Isaac, 2005. "Sustaining Employment of Older Workers in an Ageing Society," WIFO Working Papers 256, WIFO. [Downloadable!]
  8. Lorraine Dearden & Howard Reed & John Van Reenen, 2005. "The impact of training on productivity and wages: evidence from British panel data," IFS Working Papers W05/16, Institute for Fiscal Studies. [Downloadable!]
    Other versions:
  9. Johannes Van Biesebroeck, 2007. "Wage and Productivity Premiums in Sub-Saharan Africa," NBER Working Papers 13306, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  10. Jacques Mairesse & Nathalie Greenan, 1999. "Using Employee Level Data in a Firm Level Econometric Study," NBER Working Papers 7028, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  11. Torbjørn Hægeland, 2001. "Experience and Schooling: Substitutes or Complements?," Discussion Papers 301, Research Department of Statistics Norway. [Downloadable!]
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