On the Decomposition of the Gini’s Mean Difference and Concentration Ratio
digital
![]() Article
|
Ebook format Pdf readable on these devices:
|
|
In this paper we propose a decomposition for the Gini’s mean difference of a real variate obtained as the sum of c variates observed on a finite population. The decomposition is mainly based on two different sortings of the values of each variate: one is the natural sorting of the values, the other one is obtained by ranking the values according to the corresponding totals. The obtained result is then applied to get a similar decomposition for the Gini’s concentration ratio. This latter decomposition is then compared with other decompositions proposed in literature. Finally the decompositions for the Gini’s mean difference and concentration ratio are extended to the more general case of a linear combination of variates.
Keywords: mean difference, concentration ratio, decomposition, uniform ranking. Authors biographyPaolo Radaelli, Dipartimento di Metodi Quantitativi per le Scienze Economiche ed Aziendali – Università degli Studi di Milano-Bicocca – P.zza dell’Ateneo Nuovo, 1, 20126 Milano (e-mail: paolo.radaelli@unimib.it)Michele Zenga, Dipartimento di Metodi Quantitativi per le Scienze Economiche ed Aziendali – Università degli Studi di Milano-Bicocca – P.zza dell’Ateneo Nuovo, 1, 20126 Milano (e-mail: michele.zenga@unimib.it). |
Browse the archive
Online First Articles
R Shiny Web Applications in the Sports Field:
A Scoping Review
Assessing the Quality of Life of Patients with Epidermolysis Bullosa: Application of the Delphi Method to Develop a Patient-Centred Questionnaire
On the Kuiper Test for Benford’s Law
Assessing the Quality of Life of Patients with Epidermolysis Bullosa: Application of the Delphi Method to Develop a Patient-Centred Questionnaire
On the Kuiper Test for Benford’s Law
Recent issues
STATISTICA & APPLICAZIONI - 2022 - 1
STATISTICA & APPLICAZIONI - 2021 - 2
STATISTICA & APPLICAZIONI - 2021 - 1
STATISTICA & APPLICAZIONI - 2021 - 2
STATISTICA & APPLICAZIONI - 2021 - 1