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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 Töpfer

    (University of Erlangen-Nürnberg)

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 across gender independent from individual endowments (both observed and unobserved).

Suggested Citation

  • Carolina Castagnetti & Luisa Rosti & Marina Töpfer, 2019. "The Public-Private Sector Wage Differential Across Gender in Italy: a New Quantile-Based Decomposition Approach," Economics Bulletin, AccessEcon, vol. 39(4), pages 2533-2539.
    • Handle: RePEc:ebl:ecbull:eb-19-00477
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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
    • J4 - Labor and Demographic Economics - - Particular Labor Markets

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