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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-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - Groupe ENSAE-ENSAI - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique)

  • Eve Caroli

    (PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, LEDa - Laboratoire d'Economie de Dauphine - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, Legos - Laboratoire d'Economie et de Gestion des Organisations de Santé - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, IZA - Institute for the Study of Labor - IZA)

  • Muriel Roger

    (PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, INSEE - Institut national de la statistique et des études économiques (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-Ecole d'économie de Paris (Postprint) halshs-00978400, HAL.
    • Handle: RePEc:hal:pseptp:halshs-00978400
    DOI: 10.1111/ecca.12078
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    Cited by:

    1. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
    2. Sotiris Blanas, 2019. "The distinct effects of information technologies and communication technologies on the age-skill composition of labour demand," Working Paper Research 365, National Bank of Belgium.
    3. Fries, Jan, 2014. "Age and skill bias of trade liberalisation? Heterogeneous employment effects of EU Eastern Enlargement," ZEW Discussion Papers 14-113, ZEW - Leibniz Centre for European Economic Research.
    4. 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.
    5. Alex Coad, 2018. "Firm age: a survey," Journal of Evolutionary Economics, Springer, vol. 28(1), pages 13-43, January.
    6. Annika Campaner & John S. Heywood & Uwe Jirjahn, 2022. "Flexible work organization and employer provided training: Evidence from German linked employer‐employee data," Kyklos, Wiley Blackwell, vol. 75(1), pages 3-29, February.
    7. 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).
    8. Boockmann, Bernhard & Fries, Jan & Göbel, Christian, 2018. "Specific measures for older employees and late career employment," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 159-174.
    9. Chiara Zisler & Patricia Palffy & Harald Pfeifer & Kerstin Pull & Uschi Backes-Gellner, 2025. "Boundary Spanning and Team Innovativeness: The Role of Teams' Technology Portfolios," Economics of Education Working Paper Series 0243, University of Zurich, Department of Business Administration (IBW).
    10. Findeisen, Sebastian & Dauth, Wolfgang & Schlenker, Oliver, 2024. "Organized labor versus robots? Evidence from micro data," Working Papers 25, University of Konstanz, Cluster of Excellence "The Politics of Inequality. Perceptions, Participation and Policies".
    11. 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.
    12. repec:iab:iabdpa:201717 is not listed on IDEAS
    13. Michele Battisti & Christian Dustmann & Uta Schönberg, 2023. "Technological and Organizational Change and the Careers of Workers," Journal of the European Economic Association, European Economic Association, vol. 21(4), pages 1551-1594.
    14. 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 - Centre for Innovation Research.
    15. 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.
    16. Paweł Chrostek & Krzysztof Karbownik & Michał Myck, 2024. "Labor Market Externalities of Pre-retirement Employment Protection," NBER Working Papers 32371, National Bureau of Economic Research, Inc.
    17. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    18. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    19. Yashiro, Naomitsu & Kyyrä, Tomi & Hwang, Hyunjeong & Tuomala, Juha, 2020. "Technology, Labour Market Institutions and Early Retirement: Evidence from Finland," IZA Discussion Papers 13990, Institute of Labor Economics (IZA).
    20. 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.
    21. Mothe, Caroline & Nguyen-Thi, Thuc Uyen, 2021. "Does age diversity boost technological innovation? Exploring the moderating role of HR practices," European Management Journal, Elsevier, vol. 39(6), pages 829-843.
    22. Caroline Mothe & Thuc Uyen Nguyen-Thi, 2021. "Does age diversity boost technological innovation? Exploring the moderating role of HR practices," Post-Print hal-03969462, HAL.
    23. Backhaus, Teresa, 2025. "Training in late careers — A structural approach," Labour Economics, Elsevier, vol. 93(C).

    More about this item

    Keywords

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    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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