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

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  • Roger, Muriel
  • Caroli, Eve
  • Behaghel, Luc

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 Paris Dauphine University in its series Economics Papers from University Paris Dauphine with number 123456789/7243.

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Date of creation: Apr 2014
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Publication status: Published in Economica, 2014, Vol. 81, no. 322. pp. 368-389.Length: 21 pages
Handle: RePEc:dau:papers:123456789/7243

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

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  1. 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.
  2. Younghwan Song, 2009. "Training, Technological Changes, and Displacement," Journal of Labor Research, Springer, vol. 30(3), pages 201-218, September.
  3. 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.
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  5. 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.
  6. 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.
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  9. repec:dgr:umaror:2002003 is not listed on IDEAS
  10. 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.
  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 F73-F93, 02.
  12. 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.
  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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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.

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