Decomposition and normalization of absolute differences, when positive and negative values are cosidered: applications to the Gini coefficient
Katarzyna Ostasiewicz , Achille Vernizzi
AbstractWe show how the absolute differences approach is particularly effective to interpret the Gini coefficient (G) when a distribution includes both positive and negative values. Either in erasing units having negative values, or in transforming negative values into zero, a significant variability fraction can be lost. When including negative values, instead of correcting G,to maintain it lower than 1, the standard G should be kept to compare the variability among different situations; a recent normalization, Gp, can be associated to G, to evaluate the variability percentage inside each situation.
|Journal series||Metody Ilościowe w Badaniach Ekonomicznych, [Quantitative Methods in Economics], ISSN 2082-792X, (B 9 pkt)|
|Publication size in sheets||0.95|
|Keywords in English||absolute difference components, negative values, normalization of Gini based coefficients|
|Score|| = 9.0, 25-04-2019, ArticleFromJournal|
= 9.0, 25-04-2019, ArticleFromJournal
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