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Do earnings really decline for older workers?

Author

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  • Kadija Charni

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Stephen Bazen

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

Cross section data suggest that the relationship between age and hourly earnings is an inverted-U shape. Evidence from panel data does not necessarily confirm this finding suggesting that older workers may not experience a reduction in earnings at the end of their working life. In this paper we use panel data on males for Great Britain in order to examine why the two types of data provide conflicting conclusions. Concentrating on the over 50s, several hypotheses are examined: overlapping cohorts, job tenure, job-changing, labour supply behaviour and selectivity bias. Cohort and individual fixed effects partly explain the divergent conclusions. However, for fully, year-on-year employed individuals, there is no evidence of earnings decline at the end of working life. We find no role for selectivity due to retirement, although shorter working hours or partial retirement along with job-changing late in life do provide an explanation for why hourly earnings decline for certain older workers. We find no evidence that the process of ageing itself leads to lower earnings as suggested by the cross section profile.
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Suggested Citation

  • Kadija Charni & Stephen Bazen, 2017. "Do earnings really decline for older workers?," Post-Print hal-01691116, HAL.
    • Handle: RePEc:hal:journl:hal-01691116
    DOI: 10.1108/IJM-02-2016-0043
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    References listed on IDEAS

    as
    1. Eric French, 2005. "The Effects of Health, Wealth, and Wages on Labour Supply and Retirement Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 395-427.
    2. Rupert, Peter & Zanella, Giulio, 2015. "Revisiting wage, earnings, and hours profiles," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 114-130.
    3. Johnson, Richard W & Neumark, David, 1996. "Wage Declines among Older Men," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 740-748, November.
    4. Martin Browning & Ian Crawford & Marike Knoef, 2012. "The age-period cohort problem: set identification and point identification," CeMMAP working papers 02/12, Institute for Fiscal Studies.
    5. Murphy, Kevin M & Welch, Finis, 1990. "Empirical Age-Earnings Profiles," Journal of Labor Economics, University of Chicago Press, vol. 8(2), pages 202-229, April.
    6. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    7. Kadija Charni, 2016. "Is it Better to Work When We Are Older? An Empirical Comparison Between France and Great Britain," Working Papers halshs-01393268, HAL.
    8. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    9. Jan Ours & Lenny Stoeldraijer, 2011. "Age, Wage and Productivity in Dutch Manufacturing," De Economist, Springer, vol. 159(2), pages 113-137, June.
    10. Michał Myck, 2010. "Wages and Ageing: Is There Evidence for the ‘Inverse‐U’ Profile?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(3), pages 282-306, June.
    11. Giorgio Brunello, 2010. "The effects of cohort size on European earnings," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 273-290, January.
    12. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, June.
    13. Semykina, Anastasia & Wooldridge, Jeffrey M., 2010. "Estimating panel data models in the presence of endogeneity and selection," Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.
    14. Maria Casanova, 2012. "Wage and Earnings Profiles at Older Ages," Working Papers 2012-001, Human Capital and Economic Opportunity Working Group.
    15. Helen Robinson, 2003. "Are you experienced? British evidence on age-earnings profiles," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1101-1115.
    16. Yves Guillotin & Patrick Sevestre, 1994. "Estimations de fonctions de gains sur données de panel : endogéneité du capital humain et effets de la sélection," Économie et Prévision, Programme National Persée, vol. 116(5), pages 119-135.
    17. Abraham, Katharine G & Farber, Henry S, 1987. "Job Duration, Seniority, and Earnings," American Economic Review, American Economic Association, vol. 77(3), pages 278-297, June.
    18. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    19. Christian Dustmann & María Engracia Rochina-Barrachina, 2007. "Selection correction in panel data models: An application to the estimation of females' wage equations," Econometrics Journal, Royal Economic Society, vol. 10(2), pages 263-293, July.
    20. Giulio Zanella & Peter Rupert, 2010. "Revisiting Wage, Earnings, and Hours Profiles," 2010 Meeting Papers 1158, Society for Economic Dynamics.
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    Cited by:

    1. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2017. "Econom\'etrie et Machine Learning," Papers 1708.06992, arXiv.org, revised Mar 2018.
    2. Kadija Charni, 2016. "Is it Better to Work When We Are Older? An Empirical Comparison Between France and Great Britain," Working Papers halshs-01393268, HAL.
    3. Paulina Broniatowska & Aleksandra Majchrowska & Maciej Nasiński, 2020. "Age Structure of Employment and Wages. An Analysis Across Occupational Groups," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(3), pages 227-250, September.
    4. Sarah Le Duigou, 2020. "Endogenous Unemployment Benefits in an Equilibrium Job Search Model over the Life-Cycle," Post-Print hal-03884234, HAL.
    5. Majchrowska Aleksandra & Broniatowska Paulina, 2018. "The workforce’s age structure and wages—Do age and the type of occupation matter?," Lodz Economics Working Papers 8/2018, University of Lodz, Faculty of Economics and Sociology.
    6. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2018. "Économétrie & Machine Learning," Working Papers hal-01568851, HAL.
    7. Axel Börsch-Supan & Irene Ferrari & Nicolas Goll & Johannes Rausch, 2023. "Retirement Decisions in Germany: Micro-Modelling," NBER Chapters, in: Social Security Programs and Retirement around the World: The Effects of Reforms on Retirement Behavior, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • 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

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