Joanna Landmesser

Decomposition of Differences between Household Income Distributions in Poland in Years 2002 and 2012

In this study we present the decomposition of income inequalities between household income distributions in Poland in 2002 and 2012. The difference between two distributions may be decomposed using the counterfactual distribution, which can be constructed in various ways. Techniques such as the residual imputation approach and RIF ‑ regression method (recentered influence function) were considered. The application of these methods made it possible to show the aggregate detailed decompositions in different quantile points along the income distribution. The influence of several person’s characteristics on the differences in income distributions was examined. By decomposing the inequalities into the explained and unexplained components it was possible to receive additional information about their causes.

Decomposing the Gender Gap in Average Exit Rate from Unemployment

In the paper, we analyse the exit rates from unemployment, taking into account gender differences. The process of leaving the unemployment state was examined for each sex separately using the parametric hazard models. The objective was to present a decomposition of inequalities between men and women when leaving unemployment. The application of the modified Oaxaca-Blinder decomposition technique allowed us to isolate the factors explaining the observed inequalities. We found, that the gender gap is explained almost exclusively by differences in the effects of men’s and women’s characteristics.