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

Carolina Castagnetti, Luisa Rosti and Marina Toepfer
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Luisa Rosti: University of Pavia
Marina Toepfer: University of Erlangen-Nuremberg

No 172, DEM Working Papers Series from University of Pavia, Department of Economics and Management

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).

Keywords: quantile regression for panel; public-private wage differential (search for similar items in EconPapers)
JEL-codes: J3 J45 (search for similar items in EconPapers)
Pages: 8 pages
Date: 2019-03
New Economics Papers: this item is included in nep-eur
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http://dem-web.unipv.it/web/docs/dipeco/quad/ps/RePEc/pav/demwpp/DEMWP0172.pdf (application/pdf)

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Journal Article: The Public-Private Sector Wage Differential Across Gender in Italy: a New Quantile-Based Decomposition Approach (2019) Downloads
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