IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0342.html
   My bibliography  Save this article

Age-earnings profiles of different generations

Author

Listed:
  • Aistov, Andrey

    (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

  • Aistov, Andrey, 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
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2018_50_023-042.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mincer, Jacob & Polachek, Solomon, 1974. "Family Investment in Human Capital: Earnings of Women," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 76-108, Part II, .
    2. Rupert, Peter & Zanella, Giulio, 2015. "Revisiting wage, earnings, and hours profiles," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 114-130.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joanna Tyrowicz & Lucas van der Velde & Irene van Staveren, 2018. "Does Age Exacerbate the Gender-Wage Gap? New Method and Evidence From Germany, 1984–2014," Feminist Economics, Taylor & Francis Journals, vol. 24(4), pages 108-130, October.
    2. Kadija Charni & Stephen Bazen, 2017. "Do earnings really decline for older workers?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 38(1), pages 4-24, April.
    3. Qiang Fu & Kenneth C. Land & Vicki L. Lamb, 2016. "Violent Physical Bullying Victimization at School: Has There Been a Recent Increase in Exposure or Intensity? An Age-Period-Cohort Analysis in the United States, 1991 to 2012," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(2), pages 485-513, June.
    4. Whittaker, William & Birch, Stephen & MacKenzie, Adrian & Murphy, Gail Tomblin, 2016. "Cohort effects on the need for health care and implications for health care planning in Canada," Health Policy, Elsevier, vol. 120(1), pages 81-88.
    5. Francine D. Blau & Lawrence Kahn, 1995. "The Gender Earnings Gap: Some International Evidence," NBER Chapters, in: Differences and Changes in Wage Structures, pages 105-144, National Bureau of Economic Research, Inc.
    6. Kadreva, Olga, 2016. "The influence of quantity and age of children on working women’ salaries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 62-77.
    7. Maria Kravtsova & Aleksey Oshchepkov, 2019. "Market And Network Corruption," HSE Working papers WP BRP 209/EC/2019, National Research University Higher School of Economics.
    8. Susan Averett & Sanders Korenman, 1996. "The Economic Reality of the Beauty Myth," Journal of Human Resources, University of Wisconsin Press, vol. 31(2), pages 304-330.
    9. Troske, Kenneth R. & Voicu, Alexandru, 2010. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Labour Economics, Elsevier, vol. 17(1), pages 150-169, January.
    10. Sara de la Rica & Arantza Ugidos, 1995. "¿Son las diferencias en capital humano determinantes en las diferencias salariales observadas entre hombres y mujeres?," Investigaciones Economicas, Fundación SEPI, vol. 19(3), pages 395-414, September.
    11. Liu, Yue & Yao, Shunbo & Lin, Ying, 2018. "Effect of Key Priority Forestry Programs on off-farm employment: Evidence from Chinese rural households," Forest Policy and Economics, Elsevier, vol. 88(C), pages 24-37.
    12. Karimi, Arizo & Lindahl, Erica & Skogman Thoursie, Peter, 2012. "Labour supply responses to paid parental leave," Working Paper Series 2012:22, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    13. Philippe Adair & Hassiba Gherbi, 2020. "The Youth Gender gap in North Africa: Income differentials and Informal Employment," Erudite Working Paper 2020-06, Erudite.
    14. Julia Schmieder & Doris Weichselbaumer & Clara Welteke & Katharina Wrohlich, 2024. "Parental Leave and Discrimination in the Labor Market," Berlin School of Economics Discussion Papers 0054, Berlin School of Economics.
    15. P.W. Miller & S. Rummery, 1989. "Gender Wage Discrimination in Australia: A reassessment," Economics Discussion / Working Papers 89-21, The University of Western Australia, Department of Economics.
    16. Mariusz Kaszubowski & Joanna Wolszczak-Derlacz, 2014. "Salary and reservation wage gender gaps in Polish academia," GUT FME Working Paper Series A 19, Faculty of Management and Economics, Gdansk University of Technology.
    17. Stenberg, Anders & Westerlund, Olle, 2016. "Flexibility at a cost – Should governments stimulate tertiary education for adults?," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 69-86.
    18. Catherine Weinberger & Peter Kuhn, 2006. "The Narrowing of the U.S. Gender Earnings Gap, 1959-1999: A Cohort-Based Analysis," NBER Working Papers 12115, National Bureau of Economic Research, Inc.
    19. Magdalena M. Muszynska, 2004. "Employment after childbearing: a comparative study of Italy and Norway," MPIDR Working Papers WP-2004-030, Max Planck Institute for Demographic Research, Rostock, Germany.
    20. Kuhlenkasper, Torben & Kauermann, Göran, 2010. "Female wage profiles: An additive mixed model approach to employment breaks due to childcare," HWWI Research Papers 2-18, Hamburg Institute of International Economics (HWWI).

    More about this item

    Keywords

    earnings function; age-earnings profile; age-period-cohort problem; panel data; RLMS-HSE; intrinsic estimator;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0342. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.