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Training and wages of older workers in Europe

Author

Listed:
  • Michele Belloni

    (Department of Economics, University Of Venice C� Foscari)

  • Claudia Villosio

    (LABORatorio R. Revelli-Collegio Carlo Alberto)

Abstract

The financial deficits of many social security systems caused by ageing populations and stagnating economies are forcing workers to retire later from the labour market. An extended working life combined with rapid technological progress in many sectors, is likely making older workers� skills obtained in school obsolete. In this context, lifelong investment in training is widely recognized among the international research and policy community as a key element to increase or at least limit the decline in productivity of older workers. This paper investigates the relationship between training undertaken by European older workers and their wages, relying on the Survey of Health, Ageing and Retirement in Europe. Undertaking training activities is associated with 6.3% higher wages. This premium is sizeable and is similar to that of attaining an upper or post-secondary degree instead of a primary or lower-secondary degree. Training wage premiums are highly heterogeneous across countries: they are highest in Austria, Germany, Greece, and Italy and are about half that in France and Spain. No premium is found for Denmark, Sweden, Belgium, the Netherlands, and Switzerland. Training premiums of the first group of countries can be overestimated due to training endogeneity and sample selection bias.

Suggested Citation

  • Michele Belloni & Claudia Villosio, 2014. "Training and wages of older workers in Europe," Working Papers 2014:27, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2014:27
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    References listed on IDEAS

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    1. Jörn-Steffen Pischke, 2001. "Continuous training in Germany," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(3), pages 523-548.
    2. Mazzonna, Fabrizio & Peracchi, Franco, 2012. "Ageing, cognitive abilities and retirement," European Economic Review, Elsevier, vol. 56(4), pages 691-710.
    3. Grit Muehler & Michael Beckmann & Bernd Schauenberg, 2007. "The returns to continuous training in Germany: new evidence from propensity score matching estimators," Review of Managerial Science, Springer, vol. 1(3), pages 209-235, November.
    4. Pål Schøne, 2004. "Firm-financed training: Firm-specific or general skills?," Empirical Economics, Springer, vol. 29(4), pages 885-900, December.
    5. Leist, Anja K. & Glymour, M. Maria & Mackenbach, Johan P. & van Lenthe, Frank J. & Avendano, Mauricio, 2013. "Time away from work predicts later cognitive function: differences by activity during leave," LSE Research Online Documents on Economics 51630, London School of Economics and Political Science, LSE Library.
    6. Lang, Julia, 2012. "The aims of lifelong learning: Age-related effects of training on wages and job security," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62073, Verein für Socialpolitik / German Economic Association.
    7. Julia Lang, 2012. "The Aims of Lifelong Learning: Age-Related Effects of Training on Wages and Job Security," SOEPpapers on Multidisciplinary Panel Data Research 478, DIW Berlin, The German Socio-Economic Panel (SOEP).
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    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
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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