High income inequality, accompanied by substantial regional differentiation, is still a great challenge for social policy makers in many European countries. One of the important elements of this phenomenon is inequality between income distributions of men and women. Using data coming from EU-SILC 2018, we compare the distribution of income for Italy and Poland, and analyze gender gap in these countries. We are interested here to uncover the socioeconomic factors that could contribute to explain the differences observed in the income distribution for men and women.

Greselin, F., Jedrzejczak, A. (2021). Quantifying the impact of covariates on the gender gap measurement: an analysis based on EU-SILC data from Poland and Italy. In G.C. Porzio, C. Rampichini, C. Bocci (a cura di), ClaDAG 2021 Book of Abstracts and Short papers 13th Scientific Meeting of the Classification and Data Analysis Group Firenze, September 9-11, 2021 (pp. 108-111). Firenze University Press [10.36253/978-88-5518-340-6].

Quantifying the impact of covariates on the gender gap measurement: an analysis based on EU-SILC data from Poland and Italy

Greselin, Francesca
;
2021

Abstract

High income inequality, accompanied by substantial regional differentiation, is still a great challenge for social policy makers in many European countries. One of the important elements of this phenomenon is inequality between income distributions of men and women. Using data coming from EU-SILC 2018, we compare the distribution of income for Italy and Poland, and analyze gender gap in these countries. We are interested here to uncover the socioeconomic factors that could contribute to explain the differences observed in the income distribution for men and women.
Capitolo o saggio
Income inequality, Gender gap, Gini index, new Zenga index, relative distribution method, Dagum, Italy, Poland
English
ClaDAG 2021 Book of Abstracts and Short papers 13th Scientific Meeting of the Classification and Data Analysis Group Firenze, September 9-11, 2021
Porzio, GC; Rampichini, C; Bocci, C
2021
9788855183406
128
Firenze University Press
108
111
Greselin, F., Jedrzejczak, A. (2021). Quantifying the impact of covariates on the gender gap measurement: an analysis based on EU-SILC data from Poland and Italy. In G.C. Porzio, C. Rampichini, C. Bocci (a cura di), ClaDAG 2021 Book of Abstracts and Short papers 13th Scientific Meeting of the Classification and Data Analysis Group Firenze, September 9-11, 2021 (pp. 108-111). Firenze University Press [10.36253/978-88-5518-340-6].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/335953
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