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Differentiating Retirement Age to Compensate for Career Arduousness


  • Vandenberghe, Vincent


Population ageing in Europe calls for an overall rise in the age of retirement. However, many argue that this age should be differentiated to account for individuals' career arduousness. This paper explores the relevance of this idea. It combines the 7th wave of the SHARE panel data on health at an older age and US occupational O*NET data. With these unique data it first quantifies the impact of entire career arduous- ness on health at typical retirement age, relative to other key determinants (gender, childhood health, parental longevity). It then estimates the degree of retirement age differentiation that would be needed to compensate individuals for their career-related health handicap/advantage and get closer to "real" actuarial fairness. Using the age of 65 as a reference, results point at the need for differentiation ranging from 60 to 71. But the paper also shows that systematic retirement age differentiation would fail to match a significant portion of the full distribution of health at an older age. In a world where retirement policy compensates for career-related arduousness there would still be a lot of unaccounted health differences; in particular those related to health endow- ment. Using variance decomposition methods, we estimate that career-arduousness represents at most 5.83% of the model-explained variance of health at an older age.

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  • Vandenberghe, Vincent, 2021. "Differentiating Retirement Age to Compensate for Career Arduousness," GLO Discussion Paper Series 803, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:803

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    References listed on IDEAS

    1. Eve Caroli & Andrea Bassanini, 2015. "Is Work bad for Health ? The Role of Constraint Versus Choice," Annals of Economics and Statistics, GENES, issue 119-120, pages 13-37.
    2. Florence Jusot & Sandy Tubeuf & Alain Trannoy, 2013. "Circumstances And Efforts: How Important Is Their Correlation For The Measurement Of Inequality Of Opportunity In Health?," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1470-1495, December.
    3. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation [Automation and Demographic Change]," Review of Economic Studies, Oxford University Press, vol. 89(1), pages 1-44.
    4. Daron Acemoglu, 2010. "When Does Labor Scarcity Encourage Innovation?," Journal of Political Economy, University of Chicago Press, vol. 118(6), pages 1037-1078.
    5. Thomas Barnay, 2016. "Health, work and working conditions: a review of the European economic literature," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(6), pages 693-709, July.
    6. Daron Acemoglu & Pascual Restrepo, 2018. "Demographics and Automation," Boston University - Department of Economics - Working Papers Series dp-299, Boston University - Department of Economics.
    7. Costa, Dora L., 1998. "The Evolution of Retirement," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226116082, October.
    8. Kadir Atalay & Garry F. Barrett, 2015. "The Impact of Age Pension Eligibility Age on Retirement and Program Dependence: Evidence from an Australian Experiment," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 71-87, March.
    9. Dora L. Costa, 1998. "The Evolution of Retirement: An American Economic History, 1880-1990," NBER Books, National Bureau of Economic Research, Inc, number cost98-1.
    10. repec:dau:papers:123456789/5065 is not listed on IDEAS
    11. Chen, Xi & Yan, Binjian & Gill, Thomas M., 2020. "Childhood Circumstances and Health Inequality in Old Age: Comparative Evidence from China and the United States," IZA Discussion Papers 13460, Institute of Labor Economics (IZA).
    12. Wojciech Hardy & Roma Keister & Piotr Lewandowski, 2018. "Educational upgrading, structural change and the task composition of jobs in Europe," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 201-231, April.
    13. Joaquim Oliveira Martins & Frédéric Gonand & Pablo Antolín & Christine de la Maisonneuve & Kwang-Yeol Yoo, 2005. "The Impact of Ageing on Demand, Factor Markets and Growth," OECD Economics Department Working Papers 420, OECD Publishing.
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    More about this item


    Ageing; Health; Retirement Policy; SHARE; O*NET; Compensating Career Arduousness;
    All these keywords.

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • I1 - Health, Education, and Welfare - - Health
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

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