In this paper an innovative method to decompose by subpopulations the Pietra index is presented. The decomposition procedure is based on a two-step procedure that has been used in the literature to decompose also other inequality indexes. A such decomposition allows the evaluation of the contributions related to each subpopulation to the total value of the index. Beyond the methodological details, an application with real data about the professional football teams in Italy is described.

Porro, F., Zenga, M. (2019). The decomposition by subpopulations of the Pietra index: an application to the professional football teams in Italy. In Smart statistics for smart applications- Book of short papers SIS2019 (pp.1039-1044). Pearson.

The decomposition by subpopulations of the Pietra index: an application to the professional football teams in Italy

Porro, F.
Primo
;
Zenga, Mariangela
Secondo
2019

Abstract

In this paper an innovative method to decompose by subpopulations the Pietra index is presented. The decomposition procedure is based on a two-step procedure that has been used in the literature to decompose also other inequality indexes. A such decomposition allows the evaluation of the contributions related to each subpopulation to the total value of the index. Beyond the methodological details, an application with real data about the professional football teams in Italy is described.
slide + paper
Pietra index; Decomposition by subpopulations
English
SIS2019 - Smart Statistics for Smart Applications
2019
Arbia, G; Peluso, S; Pini, A; Rivellini, G
Smart statistics for smart applications- Book of short papers SIS2019
9788891915108
2019
1039
1044
https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Dirigenti e istituzioni/ISTITUZIONI-HE-PDF-sis2019_V4.pdf
none
Porro, F., Zenga, M. (2019). The decomposition by subpopulations of the Pietra index: an application to the professional football teams in Italy. In Smart statistics for smart applications- Book of short papers SIS2019 (pp.1039-1044). Pearson.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/272470
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