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A new parametric approach to gender gap with application to EUSILC data in Poland and Italy
[Zeitschriftenartikel]
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 po... mehr
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 for estimating the relative distribution. Then we extend it to assess the impact of selected covariates - related to the personal characteristics of the samples - on the existing gender gap in both countries. In more detail, models for income were fitted to empirical data from Poland and Italy, from the European Survey of Income and Living Conditions (wave 2018). Afterwards, their parameters were employed to obtain the estimates of relative distribution characteristics. The methods applied in the study turned out to be relevant to describe the gender gap over the entire income range. Finally, the results of the empirical analysis are discussed to reveal similarities and substantial differences between the countries.... weniger
Thesaurusschlagwörter
Einkommensunterschied; Ungleichheit; Einkommensverteilung; geschlechtsspezifische Faktoren; Italien; Polen; Datengewinnung; Schätzung; Parameter
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
Dagum; gendergap; parametric inference; relative distribution method; EU-SILC 2018
Sprache Dokument
Englisch
Publikationsjahr
2023
Seitenangabe
S. 319-335
Zeitschriftentitel
Statistical Analysis and Data Mining: The ASA Data Science Journal, 16 (2023) 4
Heftthema
CLADAG 2021 special issue: Selected papers on classification and data analysis
DOI
https://doi.org/10.1002/sam.11623
ISSN
1932-1872
Status
Veröffentlichungsversion; begutachtet (peer reviewed)