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

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  • Luc Behaghel
  • Eve Caroli
  • Muriel Roger

Abstract

type="main" xml:id="ecca12078-abs-0001"> 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," Economica, London School of Economics and Political Science, vol. 81(322), pages 368-389, April.
    • Handle: RePEc:bla:econom:v:81:y:2014:i:322:p:368-389
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    References listed on IDEAS

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    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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    7. Eve Caroli & John Van Reenen, 2001. "Skill-Biased Organizational Change? Evidence from A Panel of British and French Establishments," The Quarterly Journal of Economics, Oxford University Press, vol. 116(4), pages 1449-1492.
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    11. Patrick Aubert & Eve Caroli & Muriel Roger, 2006. "New technologies, organisation and age: firm-level evidence," Economic Journal, Royal Economic Society, vol. 116(509), pages 73-93, February.
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    13. P. Biscourp & B. Crépon & T. Heckel & N. Riedinger, 2002. "How do firms respond to cheaper computers? Microeconometric evidence for France based on a production function approach," Documents de Travail de la DESE - Working Papers of the DESE g2002-05, Institut National de la Statistique et des Etudes Economiques, DESE.
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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. 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.
    6. 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.
    7. 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.
    8. 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.

    More about this item

    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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