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The Gender Wage Gap in Italy: A Quantile Regression Analysis
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

I investigate the gender wage gap in Italy during the period 1987-2016. The analysis takes advantage of quantile regression framework to estimate gender pay differentials along the wage distribution. The observed gaps show U-shaped patterns during the entire period. The inclusion of control variables in the model leads to a flattening of the gender differentials, maintaining evidence of sticky floor effects. I examine the gap in five geographical areas, revealing heterogeneous results across the country and finding glass ceiling effects in the North, sticky floor effect in the South and a U-shaped pattern in the Islands. I use a quantile regression decomposition approach to investigate whether the male-female wage differentials are ascribable to differences in labour market attributes by gender or to differences in the rewards they receive for those characteristics. The evidence suggests that the sticky floor effects, found at national level, are mainly due to discrepancies in the returns received by male and female workers for their attributes.

Place, publisher, year, edition, pages
2019. , p. 49
National Category
Economics
Identifiers
URN: urn:nbn:se:uu:diva-388397OAI: oai:DiVA.org:uu-388397DiVA, id: diva2:1333017
Subject / course
Economics
Educational program
Master Programme in Economics
Available from: 2019-07-01 Created: 2019-06-29 Last updated: 2019-07-01Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • en-US
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  • nn-NB
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  • Other locale
More languages
Output format
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