2023
DOI: 10.1002/sam.11623
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A new parametric approach to gender gap with application to EUSILC data in Poland and Italy

Abstract: Real income distribution comparisons are of interest to policy makers across European countries. Nowadays, a crucial component of income inequality remains the discrepancy between men and women, often called the gender gap. Since the gender gap is related to the whole distribution of incomes in a population, popular single metrics are not adequate, and previous studies applied the relative distribution method, a non‐parametric approach to the comparison of distributions. Here, we propose a parametric approach … Show more

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Cited by 2 publications
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“…Greselin and Jędrzejczak (2020) studied the gender gap in Poland and Italy, comparing data provided by Eurostat for Poland and Italy through the relative distribution approach. Greselin, Jędrzejczak, and Trzcińska (2023) proposed a new parametric approach to gender gap analysis based on different theoretical distributions, and it was applied to EU-SILC data for Poland and Italy. Various dimensions of the discrepancy between men and women have recently been considered in the literature for many countries (e.g., Doorley and Claire 2020;Avram and Popova 2022;Boneva et al 2022;Cordova, Grabka, and Sierminska 2022;Glaubitz, Harnack-Eber, and Wetter 2022;and Cozarenco and Szafarz 2023).…”
Section: Introductionmentioning
confidence: 99%
“…Greselin and Jędrzejczak (2020) studied the gender gap in Poland and Italy, comparing data provided by Eurostat for Poland and Italy through the relative distribution approach. Greselin, Jędrzejczak, and Trzcińska (2023) proposed a new parametric approach to gender gap analysis based on different theoretical distributions, and it was applied to EU-SILC data for Poland and Italy. Various dimensions of the discrepancy between men and women have recently been considered in the literature for many countries (e.g., Doorley and Claire 2020;Avram and Popova 2022;Boneva et al 2022;Cordova, Grabka, and Sierminska 2022;Glaubitz, Harnack-Eber, and Wetter 2022;and Cozarenco and Szafarz 2023).…”
Section: Introductionmentioning
confidence: 99%