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New technologies, new work practices and the age structure of the workers

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  • Pål Schøne

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  • Pål Schøne, 2009. "New technologies, new work practices and the age structure of the workers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(3), pages 803-826, July.
    • Handle: RePEc:spr:jopoec:v:22:y:2009:i:3:p:803-826
    DOI: 10.1007/s00148-007-0158-3
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    References listed on IDEAS

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    1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    2. Luc Behaghel & Nathalie Greenan, 2005. "Training and Age-Biased Technical Change : Evidence from French Micro Data," Working Papers 2005-06, Center for Research in Economics and Statistics.
    3. Neuman, Shoshana & Weiss, Avi, 1995. "On the effects of schooling vintage on experience-earnings profiles: Theory and evidence," European Economic Review, Elsevier, vol. 39(5), pages 943-955, May.
    4. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    5. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    6. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    7. Kjersti-Gro Lindquist & Terje Skjerpen, 2000. "Explaining the change in skill structure of labour demand in Norwegian manufacturing," Discussion Papers 293, Statistics Norway, Research Department.
    8. Eli Berman & John Bound & Zvi Griliches, 1993. "Changes in the Demand for Skilled Labor within U.S. Manufacturing Industries: Evidence from the Annual Survey of Manufacturing," NBER Working Papers 4255, National Bureau of Economic Research, Inc.
    9. Knut Røed & Fredrik Haugen, 2003. "Early Retirement and Economic Incentives: Evidence from a Quasi‐natural Experiment," LABOUR, CEIS, vol. 17(2), pages 203-228, June.
    10. Jonathan Gruber & David A. Wise, 2004. "Social Security Programs and Retirement around the World: Micro-Estimation," NBER Books, National Bureau of Economic Research, Inc, number grub04-1, July.
    11. Sherwin Rosen, 1975. "Measuring the Obsolescence of Knowledge," NBER Chapters, in: Education, Income, and Human Behavior, pages 199-232, National Bureau of Economic Research, Inc.
    12. Eli Berman & John Bound & Zvi Griliches, 1994. "Changes in the Demand for Skilled Labor within U. S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 367-397.
    13. 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.
    14. repec:crs:wpaper:9730 is not listed on IDEAS
    15. repec:dau:papers:123456789/10054 is not listed on IDEAS
    16. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
    17. Machin, Steve, 1994. "Changes in the Relative Demand for Skills in the UK Labour Market," CEPR Discussion Papers 952, C.E.P.R. Discussion Papers.
    18. Daniel, Kirsten & Heywood, John S., 2007. "The determinants of hiring older workers: UK evidence," Labour Economics, Elsevier, vol. 14(1), pages 35-51, January.
    19. Weinberg, Bruce A., 2004. "Experience and Technology Adoption," IZA Discussion Papers 1051, Institute of Labor Economics (IZA).
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    2. 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.
    3. W. David Allen, 2015. "The Demand for Younger and Older Workers," Journal of Sports Economics, , vol. 16(2), pages 127-158, February.
    4. Stracke, Stefan & Maack, Klaus, 2013. "Transfer guter Praxis - Ansätze zur Lösung demografischer Herausforderungen in der Ernährungsindustrie," Study / edition der Hans-Böckler-Stiftung, Hans-Böckler-Stiftung, Düsseldorf, volume 127, number 282.
    5. Yashiro, Naomitsu & Kyyrä, Tomi & Hwang, Hyunjeong & Tuomala, Juha, 2020. "Technology, Labour Market Institutions and Early Retirement: Evidence from Finland," IZA Discussion Papers 13990, Institute of Labor Economics (IZA).
    6. Geoffrey Dunbar & Stephen Easton, 2013. "Working parents and total factor productivity growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1431-1456, October.

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    More about this item

    Keywords

    Older workers; Technological change; New work practices; J23; L23; O33;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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