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Age Biased Technical and Organisational Change, Training and Employment Prospects of Older Workers

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  • Behaghel, L.
  • Caroli, E.
  • Roger, M.

Abstract

We analyze the role of training in mitigating the negative impact of technical and organizational changes on the employment of older workers. Using a panel of French firms in the late 1990s, our empirical analysis confirms that new technologies and some innovative workplace practices are biased against older workers. The use of the Internet and the adoption of computer networks tend to increase the wage share of middle-aged workers and to reduce the share of workers older than 50. By contrast, the reduction of the number of hierarchical layers is favourable to older workers. Training contributes to protect older workers in terms of employment and/or of wages.

Suggested Citation

  • Behaghel, L. & Caroli, E. & Roger, M., 2013. "Age Biased Technical and Organisational Change, Training and Employment Prospects of Older Workers," Working papers 431, Banque de France.
    • Handle: RePEc:bfr:banfra:431
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Dag Rønningen, 2007. "Are technological change and organizational change biased against older workers? Firm-level evidence," Discussion Papers 512, Statistics Norway, Research Department.
    4. repec:dau:papers:123456789/10093 is not listed on IDEAS
    5. Beckmann, Michael & Schauenberg, Bernd, 2007. "Age-biased technological and organizational change: firm-level evidence and management implications," Working papers 2007/05, Faculty of Business and Economics - University of Basel.
    6. Andrea Bassanini, 2006. "Training, wages and employment security," Post-Print halshs-00120488, HAL.
    7. Torbjørn Hægeland & Dag Rønningen & Kjell G. Salvanes, 2007. "Adapt or withdraw? Evidence on technological changes and early retirement using matched worker-firm data," Discussion Papers 509, Statistics Norway, Research Department.
    8. Leora Friedberg, 2003. "The Impact of Technological Change on Older Workers: Evidence from Data on Computer Use," ILR Review, Cornell University, ILR School, vol. 56(3), pages 511-529, April.
    9. Bartel, Ann P & Sicherman, Nachum, 1993. "Technological Change and Retirement Decisions of Older Workers," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 162-183, January.
    10. Borghans, L. & ter Weel, B.J., 2002. "Do older workers have more trouble using a computer than younger workers?," ROA Research Memorandum 1E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    11. Michele Boldrin & Juan J. Dolado & Juan F. Jimeno & Franco Peracchi, 1999. "The future of pensions in Europe," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 14(29), pages 288-320.
    12. Andrea Bassanini, 2006. "Training, wages and employment security: an empirical analysis on European data," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 523-527.
    13. Schleife, Katrin, 2008. "IT Training and Employability of Older Workers," ZEW Discussion Papers 08-021, ZEW - Leibniz Centre for European Economic Research.
    14. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    15. Eve Caroli & John Van Reenen, 2001. "Skill-Biased Organizational Change? Evidence from A Panel of British and French Establishments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1449-1492.
    16. Michele Boldrin & Juan J. Dolado & Juan F. Jimeno & Franco Peracchi, "undated". "The future of pension systems in Europe. A reappraisal," Working Papers 99-08, FEDEA.
    17. Borghans, L. & ter Weel, B.J., 2002. "Do older workers have more trouble using a computer than younger workers?," ROA Research Memorandum 1E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    18. Yoram Ben-Porath, 1967. "The Production of Human Capital and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 75, pages 352-352.
    19. repec:dau:papers:123456789/10051 is not listed on IDEAS
    20. Katrin Schleife, 2006. "Computer Use and Employment Status of Older Workers — An Analysis Based on Individual Data," LABOUR, CEIS, vol. 20(2), pages 325-348, June.
    21. Younghwan Song, 2009. "Training, Technological Changes, and Displacement," Journal of Labor Research, Springer, vol. 30(3), pages 201-218, September.
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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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Alex Coad, 2018. "Firm age: a survey," Journal of Evolutionary Economics, Springer, vol. 28(1), pages 13-43, January.
    10. 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).
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    16. Konle-Seidl, Regina, 2017. "Retention and re-integration of older workers into the labour market: What works?," IAB-Discussion Paper 201717, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. 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.
    18. 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.

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    More about this item

    Keywords

    Technical change; organizational change; training; older workers.;
    All these keywords.

    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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