High-income inequality, accompanied by substantial regional differentiation, is still a great challenge for social policymakers in many European countries. One of the important elements of this phenomenon is the inequality between income distributions of men and women. Using data from the European Union Statistics on Income and Living Conditions, the distributions of income for Italy and Poland were compared, and the gender gap in these countries was assessed. No single metric can capture the full range of experiences, so a set of selected tools were adopted. The Dagum model was fitted to each distribution, summary measures, like the Gini and Zenga inequality indices, were evaluated, and the Zenga curve was employed to detect changes at each income quantile. Afterward, empirical distributions were compared through a relative approach, providing an analytic picture of the gender gap for both countries. The analysis moved beyond the typical focus on average or median earnings differences, towards a view on how the full distribution of women’s earnings relative to men’s compares. The analysis was performed in the different macroregions of the two countries, with a discussion of the results. The study revealed that income inequality in Poland and Italy varies across gender and regions. In Italy, the highest inequality was observed in the poorest region, i.e. the islands. On the contrary, in Poland, the highest inequality occurred in the richest region, the central one. The relative distribution method was a powerful tool for studying the gender gap.

Greselin, F., Jedrzjeczak, A. (2020). Analyzing the Gender Gap in Poland and Italy, and by Regions. INTERNATIONAL ADVANCES IN ECONOMIC RESEARCH, 26(November 2020), 433-447 [10.1007/s11294-020-09810-3].

Analyzing the Gender Gap in Poland and Italy, and by Regions

Greselin, F.
Primo
;
2020

Abstract

High-income inequality, accompanied by substantial regional differentiation, is still a great challenge for social policymakers in many European countries. One of the important elements of this phenomenon is the inequality between income distributions of men and women. Using data from the European Union Statistics on Income and Living Conditions, the distributions of income for Italy and Poland were compared, and the gender gap in these countries was assessed. No single metric can capture the full range of experiences, so a set of selected tools were adopted. The Dagum model was fitted to each distribution, summary measures, like the Gini and Zenga inequality indices, were evaluated, and the Zenga curve was employed to detect changes at each income quantile. Afterward, empirical distributions were compared through a relative approach, providing an analytic picture of the gender gap for both countries. The analysis moved beyond the typical focus on average or median earnings differences, towards a view on how the full distribution of women’s earnings relative to men’s compares. The analysis was performed in the different macroregions of the two countries, with a discussion of the results. The study revealed that income inequality in Poland and Italy varies across gender and regions. In Italy, the highest inequality was observed in the poorest region, i.e. the islands. On the contrary, in Poland, the highest inequality occurred in the richest region, the central one. The relative distribution method was a powerful tool for studying the gender gap.
Articolo in rivista - Articolo scientifico
Income inequality, Gender gap, Gini index, New Zenga index, Relative distribution method, Dagum, Italy, Poland
English
4-dic-2020
2020
26
November 2020
433
447
9810
open
Greselin, F., Jedrzjeczak, A. (2020). Analyzing the Gender Gap in Poland and Italy, and by Regions. INTERNATIONAL ADVANCES IN ECONOMIC RESEARCH, 26(November 2020), 433-447 [10.1007/s11294-020-09810-3].
File in questo prodotto:
File Dimensione Formato  
GJ 2020 Analyzing the gender gap in Poland and in Italy and by regions (with suppl).pdf

accesso aperto

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Dimensione 1.29 MB
Formato Adobe PDF
1.29 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/295566
Citazioni
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 4
Social impact