In this study we compare the income distributions for men and women in Poland in 2014. To examine the differences in the entire range of income values we utilize the hazard function approach. A flexible hazard-function based estimator in the presence of covariates (education, age, etc.) is used to construct conditional density and cumulative distribution functions. Then, we decompose the differences between two distributions using the counterfactual distribution. We estimate also the Lorenz curves for incomes and decompose the differences between the values of the Gini coefficients.
In this study we compared incomes distributions in the USA for two subgroups (defined according to sex or race). We utilized the quantile decomposition method to describe differences between the two distributions as a function of their quantiles. The analyzed objects are characterized by the set of attributes (education, age, etc.). We evaluate strength of the influence of the attributes onto the various parts of the incomes distributions. In such a way we evaluate income inequalities and their causes in two subgroups of people.
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