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Age-biased Technical and Organizational Change, Training and Employment Prospects of Older Workers

Author

Listed:
  • Luc Behaghel

    (PSE - Paris-Jourdan Sciences Economiques - ENS Paris - École normale supérieure - Paris - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics, CREST - Centre de Recherche en Économie et Statistique - ENSAE ParisTech - École Nationale de la Statistique et de l'Administration Économique)

  • Eve Caroli

    () (PSE - Paris-Jourdan Sciences Economiques - ENS Paris - École normale supérieure - Paris - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics, LEDa - Laboratoire d'Economie de Dauphine - Université Paris-Dauphine, Legos - Laboratoire d'Economie et de Gestion des Organisations de Santé - Université Paris-Dauphine, IZA - Institute for the Study of Labor - IZA)

  • Muriel Roger

    () (PSE - Paris-Jourdan Sciences Economiques - ENS Paris - École normale supérieure - Paris - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics, INSEE - Institut National de la Statistique et des Etudes Economiques - INSEE)

Abstract

We analyse the role of training in mitigating the negative impact of technical and organizational changes on the employment prospects of older workers. Using a panel of French firms in the late 1990s, we first estimate wage bill share equations for different age groups. As a second step, we estimate the impact of ICT, innovative work practices and training on employment flows by age group in the next period. Training appears to have a positive impact on the employability of older workers, but it offers limited prospects to dampen the age bias associated with new technologies and innovative work practices.

Suggested Citation

  • Luc Behaghel & Eve Caroli & Muriel Roger, 2014. "Age-biased Technical and Organizational Change, Training and Employment Prospects of Older Workers," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-00978400, HAL.
  • Handle: RePEc:hal:pseose:halshs-00978400
    DOI: 10.1111/ecca.12078
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00978400
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    References listed on IDEAS

    as
    1. Dag Rønningen, 2007. "Are technological change and organizational change biased against older workers? Firm-level evidence," Discussion Papers 512, Statistics Norway, Research Department.
    2. Picchio, Matteo & van Ours, Jan C., 2013. "Retaining through training even for older workers," Economics of Education Review, Elsevier, vol. 32(C), pages 29-48.
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    Citations

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    Cited by:

    1. Fries, Jan, 2014. "Age and skill bias of trade liberalisation? Heterogeneous employment effects of EU Eastern Enlargement," ZEW Discussion Papers 14-113, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    2. Sandulli, Francesco D. & Baker, Paul M.A. & López-Sánchez, José I., 2013. "Can small and medium enterprises benefit from skill-biased technological change?," Journal of Business Research, Elsevier, vol. 66(10), pages 1976-1982.
    3. repec:spr:joevec:v:28:y:2018:i:1:d:10.1007_s00191-016-0486-0 is not listed on IDEAS
    4. Jorge Calero & Álvaro Choi, 2015. "The distribution of skills among the European adult population and unemployment: a comparative approach," Working Papers 2015/35, Institut d'Economia de Barcelona (IEB).
    5. Anne Sonnet & Hilde Olsen & Thomas Manfredi, 2014. "Towards More Inclusive Ageing and Employment Policies: The Lessons from France, The Netherlands, Norway and Switzerland," De Economist, Springer, vol. 162(4), pages 315-339, December.
    6. Grillitsch, Markus & Schubert, Torben & Srholec, Martin, 2016. "Knowledge diversity and firm growth: Searching for a missing link," Papers in Innovation Studies 2016/13, Lund University, CIRCLE - Center for Innovation, Research and Competences in the Learning Economy.
    7. Guerrazzi, Marco, 2014. "Workforce ageing and the training propensity of Italian firms: cross-sectional evidence from the INDACO survey," MPRA Paper 56826, University Library of Munich, Germany.
    8. Torben Schubert & Martin Andersson, 2015. "Old is gold? The effects of employee age on innovation and the moderating effects of employment turnover," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(1-2), pages 95-113, March.

    More about this item

    Keywords

    Employment prospect; Older Worker;

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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