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In the Land of AKM: Explaining the Dynamics of Wage Inequality in France

Author

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  • Olivier Godechot

    (Sciences Po - Sciences Po)

  • Marco G Palladino

    (Sciences Po - Sciences Po)

  • Damien Babet

Abstract

We use a newly built and quasi-exhaustive matched employer-employee database to study firms contribution towage inequalities in France. We employ the Abowd, Kramarz, and Margolis (1999) model (hereafter AKM) to decompose log-wage variance into between- and within-firm components. Our analysis covering the period from 2002 to 2019 reveals a significant increase in between-firm inequalities, driven by a growing tendency of high-wage workers to cluster together in high premium firms. These phenomena are directly associated with changes in firms demographics and workforce composition. Over the same period, bottom earnings percentiles increased more than the rest of the distribution, in line with the rise in the legal minimum wage. As a result, within-firm inequalities decreased, almost offsetting the rising between-firm inequalities.
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Suggested Citation

  • Olivier Godechot & Marco G Palladino & Damien Babet, 2023. "In the Land of AKM: Explaining the Dynamics of Wage Inequality in France," SciencePo Working papers Main hal-04319406, HAL.
    • Handle: RePEc:hal:spmain:hal-04319406
    Note: View the original document on HAL open archive server: https://hal.science/hal-04319406
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    Cited by:

    1. Kenza Elass & Cecilia García-Peñalosa & Christian Schluter & Cecilia Garcia-Peñalosa, 2024. "Gender Gaps in the Urban Wage Premium," CESifo Working Paper Series 11374, CESifo.

    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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