Modeling bivariate income and consumption distribution using copula function and reparameterized Dagum distribution

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

Modeling bivariate income and consumption distribution using copula function and reparameterized Dagum distribution

Authors

Francesca Condino, Filippo Domma

Publisher

Vita e Pensiero

Format

Article |

Pdf

Online from

12-2021

Doi

10.26350/999999_000042

Issn

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

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Description Readers' comments

In this work, we propose to jointly analyse income and consumption distribution, using copula function to model the dependence structure, and the new formulation of Dagum distribution, proposed by Domma, Condino and Giordano (2018), to model the marginal distributions with a clear economic meaning of the marginal parameters. Indeed, this specification allow us to express the marginal distributions in terms of indicators of particular interest for the specific context and to evaluate the direct impact of some individual features on these indicators. Following the same criterion adopted for the marginals, we also reparameterize the copula function in terms of tail dependence measures, to have a tool for evaluating the direct impact of covariates on dependence. Preliminary results regarding data from Survey on Households Income and Wealth (SHIW) by bank of Italy are showed.

keywords

Poverty, Inequality, Median, Tail Dependence.

Authors biography

Dipartimento di Economia, Statistica e Finanza ‘‘Giovanni Anania’’ - Universita` della Calabria - Via P. Bucci, Cubo 0C - 87036 ARCAVACATA DI RENDE (CS) (e-mail: francesca.condino@unical.it; filippo.domma@unical.it).

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