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

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Author Info

  • Behaghel, Luc

    ()
    (Paris School of Economics)

  • Caroli, Eve

    ()
    (Université Paris-Dauphine)

  • Roger, Muriel

    ()
    (INRA-CORELA)

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. Consistently with what is found in the literature, we find that adopting new technologies and innovative work practices negatively affects the wage bill share of older workers. In contrast, training older workers more than average increases their share in the wage bill in the next period. So, training contributes to offset the negative impact of ICT and innovative work practices. However, it does not reduce the age bias associated with these innovative devices: the interaction terms between training and ICT/innovative work practices are either insignificant or negative. 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. We get similar results to those obtained with wage bill shares. Overall, 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.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 5544.

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Length: 34 pages
Date of creation: Mar 2011
Date of revision:
Publication status: published in: Economica, 2014, 81(322), 368-389
Handle: RePEc:iza:izadps:dp5544

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Keywords: training; organizational change; technical change; older workers;

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References

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  1. Schleife, Katrin, 2008. "IT Training and Employability of Older Workers," ZEW Discussion Papers 08-021, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Caroli, Eve & Van Reenen, John, 1999. "Skill biased organizational change? Evidence from a panel of British and French establishments," CEPREMAP Working Papers (Couverture Orange) 9917, CEPREMAP.
  3. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 1999. "Information Technology, Workplace Organization and the Demand for Skilled Labor: Firm-Level Evidence," NBER Working Papers 7136, National Bureau of Economic Research, Inc.
  4. 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 162-83, January.
  5. Leora Friedberg, 2001. "The Impact of Technological Change on Older Workers: Evidence from Data on Computer Use," NBER Working Papers 8297, National Bureau of Economic Research, Inc.
  6. 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.
  7. Patrick Aubert & Eve Caroli & Muriel Roger, 2006. "New technologies, organisation and age: firm-level evidence," Economic Journal, Royal Economic Society, vol. 116(509), pages F73-F93, 02.
  8. Andrea Bassanini, 2005. "Training, Wages and Employment Security: An Empirical Analysis on European Data," Documents de recherche 05-04, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
  9. Younghwan Song, 2009. "Training, Technological Changes, and Displacement," Journal of Labor Research, Springer, vol. 30(3), pages 201-218, September.
  10. 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, Research Department of Statistics Norway.
  11. Michele Boldrin & Juan J. Dolado & Juan F. Jimeno & Franco Peracchi, 1999. "The future of pensions in Europe," Economic Policy, CEPR & CES & MSH, vol. 14(29), pages 287-320, October.
  12. 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, 06.
  13. Borghans,Lex & Weel,Bas,ter, 2002. "Do Older Workers Have More Trouble Using a Computer Than Younger Workers?," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
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Cited by:
  1. 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.
  2. 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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