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Heterogeneity and Wage Inequalities over the Life Cycle

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  • Magnac, Thierry
  • Roux, Sébastien

Abstract

Using panel data from a single cohort of French male wage earners observed over a long span of 30 years starting at their entry in the labor market, we estimate parameters of a human capital investment model by random and fixed effect methods. Individual wage proles are described by their individual-specific level, slope and curvature. This allows a fine decomposition of the variance of (log-)wages at different times of the life-cycle and in the long run. Among salient results, short run time-varying inequalities are shown to be larger that long run inequality by a factor of 20% to 80%. Individual permanent heterogeneity explain between 60 to 90% of the variance of wages. Single dimensional heterogeneity explains well those variances at a point in time but not over the whole period or in the long run. Multidimensional heterogeneity is needed and in particular under the form of a horizon individual effect.

Suggested Citation

  • Magnac, Thierry & Roux, Sébastien, 2019. "Heterogeneity and Wage Inequalities over the Life Cycle," TSE Working Papers 19-1041, Toulouse School of Economics (TSE), revised Mar 2021.
  • Handle: RePEc:tse:wpaper:123621
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    Cited by:

    1. Magnac, Thierry & Roux, Sébastien, 2021. "Heterogeneity and wage inequalities over the life cycle," European Economic Review, Elsevier, vol. 134(C).
    2. Thierry Magnac, 2024. "Human Capital and Search Models: A Happy Match," Revue économique, Presses de Sciences-Po, vol. 75(1), pages 11-29.
    3. Garbinti, Bertrand & García-Peñalosa, Cecilia & Pecheu, Vladimir & Savignac, Frederique, 2023. "Trends and Inequality in Lifetime Earnings in France," CEPR Discussion Papers 18472, C.E.P.R. Discussion Papers.
    4. Jochmans, Koen & Weidner, Martin, 2024. "Inference On A Distribution From Noisy Draws," Econometric Theory, Cambridge University Press, vol. 40(1), pages 60-97, February.
    5. Braunschweig, Luisa & Dauth, Wolfgang & Roth, Duncan, 2024. "Job Mobility and Assortative Matching," IAB-Discussion Paper 202411, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Wenwu Zhang & Jiayin Wang & Xi Ou, 2024. "Trade liberalization, city size, and urban wage premium: evidence from China’s city and individual micro-data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    7. Richard Blundell & James P. Ziliak & Hugo Lopez, 2023. "Labour market inequality and the changing life cycle profile of male and female wages," IFS Working Papers W23/16, Institute for Fiscal Studies.
    8. Magnac, Thierry, 2023. "Capital humain et recherche d'emploi: un mariage heureux - Human Capital and Search Models: A Happy Match," TSE Working Papers 23-1489, Toulouse School of Economics (TSE).
    9. Joseph Altonji & Disa Hynsjo & Ivan Vidangos, 2023. "Individual Earnings and Family Income: Dynamics and Distribution," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 225-250, July.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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