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Age-earnings profiles of different generations

Author

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  • Andrey Aistov

    (National Research University Higher School of Economics, Nizhny Novgorod, Russian Federation)

Abstract

In this paper we compare age-earnings profiles between generations. Our empirical estimates are based on the Russia Longitudinal Monitoring Survey of HSE (RLMS-HSE), 1994–2015. Using intrinsic estimator, we overcome age-period-cohort problem inherent in Mincer-type earnings functions. Comparison presented in the work revealed that some male generations’ income is less than that of the young cohorts and the opposite effect for some generations of women.

Suggested Citation

  • Andrey Aistov, 2018. "Age-earnings profiles of different generations," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 50, pages 23-42.
    • Handle: RePEc:ris:apltrx:0342
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    References listed on IDEAS

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    1. Rupert, Peter & Zanella, Giulio, 2015. "Revisiting wage, earnings, and hours profiles," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 114-130.
    2. Matthew J Cushing & David I Rosenbaum, 2010. "Cohort Effects in Age-Earnings Profiles for Women: Implications for Forensic Analysis," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 36(3), pages 353-369.
    3. Fu, Wenjiang J. & Hall, Peter, 2006. "Asymptotic properties of estimators in age-period-cohort analysis," Statistics & Probability Letters, Elsevier, vol. 76(17), pages 1925-1929, November.
    4. Jacob Mincer & Solomon Polachek, 1974. "Family Investments in Human Capital: Earnings of Women," NBER Chapters, in: Marriage, Family, Human Capital, and Fertility, pages 76-110, National Bureau of Economic Research, Inc.
    5. 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.
    6. Andrew Bell & Kelvyn Jones, 2014. "Another 'futile quest'? A simulation study of Yang and Land's Hierarchical Age-Period-Cohort model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(11), pages 333-360.
    7. Robert M. O'Brien & Kenneth Hudson & Jean Stockard, 2008. "A Mixed Model Estimation of Age, Period, and Cohort Effects," Sociological Methods & Research, , vol. 36(3), pages 402-428, February.
    8. Klevmarken, N Anders, 1993. "Demographics and the Dynamics of Earnings," Journal of Population Economics, Springer;European Society for Population Economics, vol. 6(2), pages 105-122, May.
    9. Wenjiang J. Fu, 2008. "A Smoothing Cohort Model in Age–Period–Cohort Analysis With Applications to Homicide Arrest Rates and Lung Cancer Mortality Rates," Sociological Methods & Research, , vol. 36(3), pages 327-361, February.
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    Cited by:

    1. Chernina, Eugenia & Gimpelson, Vladimir, 2023. "Do wages grow with experience? Deciphering the Russian puzzle," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 545-563.
    2. Vladimir Gimpelson, 2019. "Age and Wage: Stylized Facts and Russian Evidence," HSE Economic Journal, National Research University Higher School of Economics, vol. 23(2), pages 185-237.
    3. Alexeev, Michael & Chernina, Yevgenia & Gimpelson, Vladimir & Zinchenko, Darya, 2025. "Wage Profiles in STEM and Non-STEM Careers," IZA Discussion Papers 17875, Institute of Labor Economics (IZA).

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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