Abstract
AbstractHigh-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 focus 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.
Publisher
Springer Science and Business Media LLC
Subject
General Economics, Econometrics and Finance,Economics and Econometrics
Reference22 articles.
1. Blau, F. D., & Kahn, L. M. (2000). Gender differences in pay. Journal of Economic Perspectives, 14(4), 75–99.
2. Blau, F. D., & Kahn, L. M. (2003). Understanding international differences in the gender pay gap. Journal of Labor Economics, 21(1), 106–144.
3. CRAN. (2018). CRAN Contributed Packages. Available at https://cran.r-project.org/web/packages/.
4. Ćwik, J., & Mielniczuk, J. (1989). Estimating density ratio with application to discriminant analysis. Communications in Statistics-Theory and Methods, 18(8), 3057–3069.
5. Dagum, C. (1977). A new model of personal income distribution: specification and estimation. Economie appliqueé, 30(3), 413–437.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献