The Quantile Decomposition of Personal Income Distributions in the USA
K. Karpio, J.M. Landmesser, P. Łukasiewicz and A.J. Orłowski
Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776 Warsaw, Poland
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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.

DOI: 10.12693/APhysPolA.129.965
PACS numbers: 89.65.Gh, 88.05.Lg