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The Public-Private Sector Wage Differential Across Gender in Italy: a New Quantile-Based Decomposition Approach

Author

Listed:
  • Carolina Castagnetti

    (University of Pavia)

  • Luisa Rosti

    (University of Pavia)

  • Marina Toepfer

    (University of Erlangen-Nuremberg)

Abstract

We use a novel approach that combines quantile wage gap decomposition to standard technique for panel regression. We apply this methodology to investigate the public sector wage gap throughout the wage distribution in Italy by gender. Controlling for unobserved (time-invariant) individual heterogeneity suggests no positive selection effect in the public sector. The analysis reveals a consistent public sector premium throughout the wage distribution and a cross gender independent from individual endowments (both observed and unobserved).

Suggested Citation

  • Carolina Castagnetti & Luisa Rosti & Marina Toepfer, 2019. "The Public-Private Sector Wage Differential Across Gender in Italy: a New Quantile-Based Decomposition Approach," DEM Working Papers Series 172, University of Pavia, Department of Economics and Management.
    • Handle: RePEc:pav:demwpp:demwp0172
    as

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    References listed on IDEAS

    as
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    More about this item

    Keywords

    quantile regression for panel; public-private wage differential;

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets

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