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2017 | 18 | 3 | 472-491

Article title

DECOMPOSITION AND NORMALIZATION OF ABSOLUTE DIFFERENCES, WHEN POSITIVE AND NEGATIVE VALUES ARE CONSIDERED:APPLICATIONS TO THE GINI COEFFICIENT

Content

Title variants

Languages of publication

EN

Abstracts

EN
We 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.

Contributors

  • Faculty of Management, Informatics and Finances, Wroclaw University of Economics, Poland
  • Department of Economics, Management and Quantitative Methods, Università degli Studi di Milano, Italy

References

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-b8529ead-7eec-499f-82fb-6c5f7fcbab7b
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