A joint decomposition of the Zenga-84 inequality index

Name: A joint decomposition of the Zenga-84 inequality index
Brand: Vita e Pensiero
Availability: OnlineOnly

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

A joint decomposition of the Zenga-84 inequality index

Authors

Francesca De Battisti, Francesco Porro

Publisher

Vita e Pensiero

Format

Article |

Pdf

Pages

Online from

12-2020

Doi

10.26350/999999_000030

Issn

1824-6672 (print) | 2283-6659 (digital)

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Description Readers' comments

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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