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Author
Mussini Mauro (University of Verona, Italy)
Title
On Measuring Income Polarization : an Approach Based on Regression Trees
Source
Statistics in Transition, 2016, vol. 17, nr 2, s. 221-236, rys., tab., bibliogr. s. 235-236
Keyword
Analiza wariancji, Rozkład dochodów, Analiza wielowymiarowa
Variance analysis, Income distribution, Multi-dimensional analysis
Note
summ.
Abstract
This article proposes the application of regression trees for analysing income polarization. Using an approach to polarization based on the analysis of variance, we show that regression trees can uncover groups of homogeneous income receivers in a data-driven way. The regression tree can deal with nonlinear relationships between income and the characteristics of income receivers, and it can detect which characteristics and their interactions actually play a role in explaining income polarization. For these features, the regression tree is a flexible statistical tool to explore whether income receivers concentrate around local poles. An application to Italian individual income data shows an interesting partition of income receivers. (original abstract)
Accessibility
The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
The Main Library of the Wroclaw University of Economics
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Bibliography
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ISSN
1234-7655
Language
eng
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