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Firms and Skills: The Evolution of Worker Sorting

Author

Listed:
  • Håkanson, Christina

    (Sveriges Riksbank)

  • Lindqvist, Erik

    (Stockholm School of Economics)

  • Vlachos, Jonas

    (Department of Economics,)

Abstract

We document a significant increase in the sorting of workers by cognitive and non-cognitive skills across Swedish firms between 1986 and 2008. The weight of the evidence suggests that the increase in sorting is due to stronger complementarities between worker skills and technology. In particular, a large fraction of the increase can be explained by the expansion of the ICT sector and a reallocation of engineers across firms. We also find evidence of increasing assortative matching, in the sense that workers who are particularly skilled in their respective educational groups are more likely to work in the same firms. Changes in sorting patterns and skill gradients can account for a about half of the increase in between-firm wage dispersion.

Suggested Citation

  • Håkanson, Christina & Lindqvist, Erik & Vlachos, Jonas, 2015. "Firms and Skills: The Evolution of Worker Sorting," Working Paper Series 1072, Research Institute of Industrial Economics.
  • Handle: RePEc:hhs:iuiwop:1072
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    9. Per-Anders Edin & Peter Fredriksson & Martin Nybom & Björn Öckert, 2022. "The Rising Return to Noncognitive Skill," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 78-100, April.
    10. Freund, L. B., 2022. "Superstar Teams: The Micro Origins and Macro Implications of Coworker Complementarities," Cambridge Working Papers in Economics 2276, Faculty of Economics, University of Cambridge.
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    12. Butschek, Sebastian & Sauermann, Jan, 2019. "The Effect of Employment Protection on Firms' Worker Selection," IZA Discussion Papers 12305, Institute of Labor Economics (IZA).
    13. Daniel Baumgarten & Gabriel Felbermayr & Sybille Lehwald, 2020. "Dissecting Between‐Plant and Within‐Plant Wage Dispersion: Evidence from Germany," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 59(1), pages 85-122, January.
    14. Nancy L Stokey, 2016. "Technology, Skill and the Wage Structure," 2016 Meeting Papers 750, Society for Economic Dynamics.
    15. Axel Anderson, 2022. "Positive Skill Clustering In Role‐Assignment Matching Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1659-1690, November.
    16. Nordström Skans, Oskar & Choné, Philippe & Kramarz, Francis, 2022. "When workers’ skills become unbundled: Some empirical consequences for sorting and wages," Working Paper Series 2022:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
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    More about this item

    Keywords

    Skill sorting; Skilled-biased technological change; Outsourcing; Globalization; Cognitive skills; Non-cognitive skills; Personality; Employer-employee matched data;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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