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Employment transitions and computer use of older workers

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  • Federico Biagi
  • Danilo Cavapozzi
  • Raffaele Miniaci

Abstract

Our empirical analysis studies the impact of computer use on out of employment transitions of older workers, disentangling the effect of using a Personal Computer (PC) at work from that of being PC literate. Data are drawn from the 2000, 2002 and 2004 waves of the Bank of Italy Survey on Household Income and Wealth . We provide empirical evidence that, even controlling for a wide set of covariates, older employees who use a PC at work have a higher probability of remaining employed in the future. However, our results also indicate that, once PC literacy is controlled for, the use of a PC at work decreases only marginally the risk of becoming not employed (i.e. the effect is smaller than the one registered when we do not control for PC literacy).

Suggested Citation

  • Federico Biagi & Danilo Cavapozzi & Raffaele Miniaci, 2013. "Employment transitions and computer use of older workers," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 687-696, February.
    • Handle: RePEc:taf:applec:45:y:2013:i:6:p:687-696
    DOI: 10.1080/00036846.2011.610748
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    1. Benoit Dostie & Rajshri Jayaraman & Mathieu Trepanier, 2010. "What (if any) are the returns to computer use?," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3903-3912.
    2. Miniaci Raffaele & Parisi Maria Laura, 2006. "Social Interactions and the Digital Divide: Identification and Policy Implications," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-28, October.
    3. 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.
    4. Jeff Borland & Joseph Hirschberg & Jenny Lye, 2004. "Computer knowledge and earnings: evidence for Australia," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1979-1993.
    5. 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.
    6. 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.
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    Cited by:

    1. 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.
    2. Hudomiet, Péter & Willis, Robert J., 2022. "Computerization, obsolescence and the length of working life," Labour Economics, Elsevier, vol. 77(C).
    3. Casas, Pablo & Román, Concepción, 2023. "Early retired or automatized? Evidence from the survey of health, ageing and retirement in Europe," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    4. Danilo Cavapozzi & Chiara Dal Bianco, 2020. "Does retirement decrease the familiarity with ICT of older individuals?," Working Papers 2020:01, Department of Economics, University of Venice "Ca' Foscari".
    5. Laub, Natalie & Boockmann, Bernhard & Kroczek, Martin, 2023. "Tightening Access to Early Retirement: Who Can Adapt?," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277625, Verein für Socialpolitik / German Economic Association.
    6. Pablo Casas & Concepción Román, 2024. "The impact of artificial intelligence in the early retirement decision," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(3), pages 583-618, August.
    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. Bernhard Boockmann & Martin Kroczek & Natalie Laub, 2023. "Tightening access to early retirement: who can adapt?," IAW Discussion Papers 142, Institut für Angewandte Wirtschaftsforschung (IAW).

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