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Permanent and transitory wages of British men, 1975-2001: year, age and cohort effects

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  • Adriaan S. Kalwij

    (Utrecht School of Economics, Utrecht University, The Netherlands)

  • Rob Alessie

Abstract

We examine the mean and variance-covariance structure of log-wages over calendar time and the life cycle of British men, hereby controlling for birth cohort effects. We attribute the strong increase in mean log-wage during the 1980s and 1990s to a rise in mean log-wage with the year of birth. This rise is diminishing with the year of birth, which implies lower wage inequality between cohorts with the year of birth. Wage inequality has increased during the 1980s and early 1990s and remained fairly stable in the second half of the 1990s. The year effects, however, show increasing wage inequality up to 2001, mainly due to a strong rise in transitory wage inequality. Transitory wages are strongly correlated over time and an increase in transitory wage inequality therefore has highly persistent inequality consequences. The stable wage inequality in the second half of the 1990s is attributed to lower within-cohort wage inequality for the younger cohorts. The age effects show that permanent wage inequality increases with age, in particular up to age 30 and over age 50. Copyright © 2007 John Wiley & Sons, Ltd.

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  • Adriaan S. Kalwij & Rob Alessie, 2007. "Permanent and transitory wages of British men, 1975-2001: year, age and cohort effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1063-1093.
    • Handle: RePEc:jae:japmet:v:22:y:2007:i:6:p:1063-1093
    DOI: 10.1002/jae.941
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    Cited by:

    1. Doris, Aedin & O'Neill, Donal & Sweetman, Olive, 2008. "Does Growth Affect the Nature of Inequality? Ireland 1994–2001," IZA Discussion Papers 3701, Institute of Labor Economics (IZA).
    2. Pedro Albarran & Raquel Carrasco & Maite Martinez‐Granado, 2009. "Inequality for Wage Earners and Self‐Employed: Evidence from Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 491-518, August.
    3. Koray Aktas, 2021. "Characterizing Life-Cycle Dynamics of Annual Days of Work, Wages, and Cross-Covariances," Working Papers 465, University of Milano-Bicocca, Department of Economics.
    4. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post schooling human capital investments and the life cycle variance of earnings," TSE Working Papers 13-380, Toulouse School of Economics (TSE).
    5. Cappellari, Lorenzo & Jenkins, Stephen P., 2014. "Earnings and labour market volatility in Britain, with a transatlantic comparison," Labour Economics, Elsevier, vol. 30(C), pages 201-211.
    6. Zoë Fannon & B. Nielsen, 2018. "Age-period cohort models," Economics Papers 2018-W04, Economics Group, Nuffield College, University of Oxford.
    7. Gustafsson, Johan & Holmberg, Johan, 2022. "Permanent and transitory earnings dynamics and lifetime income inequality in Sweden," Umeå Economic Studies 1005, Umeå University, Department of Economics.
    8. P. Jenkins, Stephen & Cappellari, Lorenzo, 2013. "Earnings and labour market volatility in Britain," ISER Working Paper Series 2013-10, Institute for Social and Economic Research.
    9. Theloudis, Alexandros, 2011. "From income and consumption inequality to economic welfare inequality: the role of labor supply," MPRA Paper 37517, University Library of Munich, Germany.
    10. Konstantinos Angelopoulos & Spyridon Lazarakis & James Malley, 2022. "Cyclical labour income risk in Great Britain," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 116-130, January.
    11. Cappellari, Lorenzo & Jenkins, Stephen P., 2014. "Earnings and labour market volatility in Britain, with a transatlantic comparison," Labour Economics, Elsevier, vol. 30(C), pages 201-211.
    12. Aedín Doris & Donal O’Neill & Olive Sweetman, 2013. "Identification of the covariance structure of earnings using the GMM estimator," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(3), pages 343-372, September.
    13. Gustafsson, Johan & Holmberg, Johan, 2023. "Permanent and transitory earnings dynamics and lifetime income inequality in Sweden," Labour Economics, Elsevier, vol. 85(C).
    14. Higgins, Tim & Sinning, Mathias, 2013. "Modeling income dynamics for public policy design: An application to income contingent student loans," Economics of Education Review, Elsevier, vol. 37(C), pages 273-285.
    15. Gustafsson, Johan & Holmberg, Johan, 2019. "Earning dynamics in Sweden: The recent evolution of permanent inequality and earnings volatility," Umeå Economic Studies 963, Umeå University, Department of Economics.
    16. Kosei Fukuda, 2013. "A Happiness Study Using Age-Period-Cohort Framework," Journal of Happiness Studies, Springer, vol. 14(1), pages 135-153, March.
    17. Su, Yu-Sung & Lien, Donald & Yao, Yuling, 2022. "Economic growth and happiness in China: A Bayesian multilevel age-period-cohort analysis based on the CGSS data 2005–2015," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 191-205.
    18. Peng, Fei & Kang, Lili, 2013. "Cyclical changes in the wage structure of the United Kingdom: a historical review of the GHS 1972-2002," MPRA Paper 47210, University Library of Munich, Germany.
    19. Brian Bell & Nicholas Bloom & Jack Blundell, 2022. "Income dynamics in the United Kingdom and the impact of the Covid‐19 recession," Quantitative Economics, Econometric Society, vol. 13(4), pages 1849-1878, November.

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