A joint decomposition of the Zenga-84 inequality index - Francesca De Battisti, Francesco Porro - Vita e Pensiero - Articolo Statistica & Applicazioni

A joint decomposition of the Zenga-84 inequality index

digital A joint decomposition of the Zenga-84 inequality index
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2020 - 1
title A joint decomposition of the Zenga-84 inequality index
authors
publisher Vita e Pensiero
format Article | Pdf
online since 12-2020
doi 10.26350/999999_000030
issn 18246672 (print)
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This paper provides a multi-decomposition (or joint decomposition) of the Zenga-84 inequality index, considering simultaneously different sources and subpopulations. The suggested procedure consists of two different stages: in the first one, each inequality pointwise measure is decomposed by sources and by subpopulations; in the second one, the decomposition of the synthetic index is obtained, by averaging the previously decomposed pointwise measures. An important feature of this multi-decomposition is that it allows to assess the portion of the global inequality related to each source in each subpopulation, since most of the decomposition procedures proposed in the literature are not able to achieve such goal. The proposed joint decomposition permits also to obtain, as particular cases, two ‘‘marginal’’ decompositions by sources and by subpopulations of the Zenga-84 index, already introduced in the literature. To show the usefulness of the described multi-decomposition, an application about the household consumption is provided. The real considered dataset comes from the Household Consumption Expenditure Survey provided by ISTAT.

keywords

Income Inequality, Joint Decomposition, Decomposition by Subpopulations, Decomposition by Sources, Zenga-84 Inequality Index.

Authors biography

Dipartimento di Economia, Management e Metodi Quantitativi - Universita` degli Studi di Milano - via Conservatorio, 7 - 20122 MILANO (e-mail: francesca.debattisti@unimi.it)
Dipartimento di Statistica e Metodi Quantitativi - Universita` degli Studi di Milano-Bicocca - piazza dell’Ateneo Nuovo, 1 - 20126 MILANO (e-mail: francesco.porro1@unimib.it).

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