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A Taxonomy of Multi-Industry Labour Force Skills

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  • Consoli,Davide

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  • Rentocchini,Francesco

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Abstract

This paper proposes an empirical study of the skill repertoires of 290 sectors in the United States over the period 2002-2011. We use information on employment structures and job content of occupations to flesh out structural characteristics of industry-specific know-how. The exercise of mapping the skills structures embedded in the workforce yields a taxonomy that discloses novel nuances on the organization of industry. In so doing we also take an initial step towards the integration of labour and employment in the area of innovation studies.

Suggested Citation

  • Consoli,Davide & Rentocchini,Francesco, 2015. "A Taxonomy of Multi-Industry Labour Force Skills," INGENIO (CSIC-UPV) Working Paper Series 201501, INGENIO (CSIC-UPV).
  • Handle: RePEc:ing:wpaper:201501
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    Cited by:

    1. Consoli, Davide & Marin, Giovanni & Marzucchi, Alberto & Vona, Francesco, 2016. "Do green jobs differ from non-green jobs in terms of skills and human capital?," Research Policy, Elsevier, vol. 45(5), pages 1046-1060.
    2. Andrea Filippetti & Frederick Guy, 2016. "Risk-taking, skill diversity, and the quality of human capital: how insurance affects innovation," Papers in Evolutionary Economic Geography (PEEG) 1625, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2016.
    3. Nicol˜ Barbieri, Davide Consoli & Davide Consoli, 2017. "Regional diversification and green employment in US Metropolitan Areas," Papers in Evolutionary Economic Geography (PEEG) 1727, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2017.
    4. repec:eee:respol:v:47:y:2018:i:1:p:289-304 is not listed on IDEAS
    5. Agnieszka Chlon-Dominczak & Andrzej Zurawski, 2017. "Measuring skills mismatches revisited – introducing sectoral approach," IBS Working Papers 03/2017, Instytut Badan Strukturalnych.
    6. Fonseca, Tiago & Lima, Francisco & Pereira, Sonia C., 2018. "Understanding productivity dynamics: A task taxonomy approach," Research Policy, Elsevier, vol. 47(1), pages 289-304.

    More about this item

    Keywords

    Industry dynamics; Skills; Taxonomy;

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • L0 - Industrial Organization - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • 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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