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New technologies, workplace organisation and the age structure of the workforce
[Nouvelles technologies et nouvelles formes d'organisation du travail : quelles conséquences pour l'emploi des salariés âgés ?]

Author

Listed:
  • P. Aubert

    (Institut national de la statistique et des études économiques (INSEE))

  • Eve Caroli

    (Université Paris Ouest Nanterre la Défense)

  • Muriel Roger

    (LEA - Laboratoire d'Economie Appliquée - INRA - Institut National de la Recherche Agronomique)

Abstract

To investigate the relationships between new technologies, innovative workplace practices and the age structure of the workforce we start from a classical labour demand framework, assuming that the cost function is a restricted translog. Since we are interested in age effects, the only variable inputs are different types of labour indexed first by age and second by age and occupational groups. The data we use come from several French datasets: the C.O.I. survey and the DADS and BRN files. We find evidence that the wage bill share of older workers is lower in innovative firms.

Suggested Citation

  • P. Aubert & Eve Caroli & Muriel Roger, 2006. "New technologies, workplace organisation and the age structure of the workforce [Nouvelles technologies et nouvelles formes d'organisation du travail : quelles conséquences pour l'emploi des salari," Post-Print hal-02656040, HAL.
    • Handle: RePEc:hal:journl:hal-02656040
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    Citations

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    Cited by:

    1. Jean-Olivier Hairault & François Langot & Thepthida Sopraseuth, 2010. "Distance to Retirement and The Job Search of Older Workers: The Case For Delaying Retirement Age," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00517107, HAL.
    2. Dominik E. Froehlich & Sandra Aasma & Simon Beausaert, 2020. "Achieving Employability as We Age: The Role of Age and Achievement Goal Orientations on Learning and Employability," Administrative Sciences, MDPI, vol. 10(3), pages 1-12, August.
    3. Cäcilia Lipowski, 2024. "No Teens, No Tech: How Shortages of Young Workers Hinder Firm Technology Investments," CESifo Working Paper Series 11471, CESifo.
    4. Sylvie Blasco & Julie Rochut & Benedicte Rouland, 2024. "Displaced or depressed? Working in automatable jobs and mental health," Post-Print hal-04613897, HAL.
    5. Pekka Ilmakunnas & Seija Ilmakunnas, 2014. "Age segregation and hiring of older employees: low mobility revisited," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(8), pages 1090-1115, October.
    6. David J Deming & Kadeem Noray, 2020. "Earnings Dynamics, Changing Job Skills, and STEM Careers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1965-2005.
    7. 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.
    8. Genz, Sabrina & Gregory, Terry & Janser, Markus & Lehmer, Florian & Matthes, Britta, 2021. "How Do Workers Adjust When Firms Adopt New Technologies?," IZA Discussion Papers 14626, Institute of Labor Economics (IZA).
    9. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2023. "Robots, Occupations, and Worker Age: A Production-Unit Analysis of Employment," IZA Discussion Papers 16128, Institute of Labor Economics (IZA).
    10. Schleife, Katrin, 2005. "Computer Use and the Employment Status of Older Workers - An Analysis Based on Individual Data," Darmstadt Discussion Papers in Economics 145, Darmstadt University of Technology, Department of Law and Economics.
    11. Cindy Zoghi & Sabrina Wulff Pabilonia, 2007. "Which workers gain upon adopting a computer?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(2), pages 423-444, May.
    12. Mathieu Bunel & Jean-Pascal Guironnet, 2017. "Income inequalities for recently graduated French workers: a multilevel modeling approach," Empirical Economics, Springer, vol. 53(2), pages 755-778, September.
    13. Piera Bello & Vincenzo Galasso, 2020. "Old before their time: the role of employers in retirement decisions," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(5), pages 1198-1223, October.
    14. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    15. Pierre-Jean Messe & Nathalie Greenan, 2023. "Knowledge transmission in the second part of careers: does formal training matter?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 44(7), pages 1415-1436, April.
    16. Hoffmann, Christin & Hoppe, Julia Amelie & Ziemann, Niklas, 2022. "Faster, harder, greener? Empirical evidence on the role of the individual Pace of Life for productivity and pro-environmental behavior," Ecological Economics, Elsevier, vol. 191(C).
    17. Philip Sauré & Arthur Seibold & Elizaveta Smorodenkova & Hosny Zoabi, 2023. "Occupations Shape Retirement across Countries," CESifo Working Paper Series 10365, CESifo.
    18. 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.
    19. Hudomiet, Péter & Willis, Robert J., 2022. "Computerization, obsolescence and the length of working life," Labour Economics, Elsevier, vol. 77(C).
    20. Colombelli, Alessandra & Grilli, Luca & Minola, Tommaso & Mrkajic, Boris, 2020. "To what extent do young innovative companies take advantage of policy support to enact innovation appropriation mechanisms?," Research Policy, Elsevier, vol. 49(10).
    21. Cindy Zoghi & Sabrina Wulff Pabilonia, 2007. "Which workers gain upon adopting a computer?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(2), pages 423-444, May.

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