Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Decompositions for the Kakwani poverty index

Authors
Oihana Aristondo, Mariateresa Ciommi
Corresponding Author
Oihana Aristondo
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.22How to use a DOI?
Keywords
Unidimensional Poverty Measurement, Kakwani index, inequality among the poor, Aggregation functions, OWA operators, Dual decomposition
Abstract
Since Sen’s seminal article in 1976, it is very known that every poverty measure should be sensitive to the three components of poverty: incidence, intensity and inequality. The paper concentrates on the poverty measure proposed by Kakwani. If the Kakwani index is normalized, an ordered weighted averaging (OWA) operator is obtained. The dual decomposition of the OWA operator into the self-dual core and anti-self-dual remainder allows us to propose a decomposition for this poverty index. Moreover, the inequality term obtained will measure the income inequality and gap inequality of the poor equally.
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This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Oihana Aristondo
AU  - Mariateresa Ciommi
PY  - 2015/06
DA  - 2015/06
TI  - Decompositions for the Kakwani poverty index
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 131
EP  - 138
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.22
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.22
ID  - Aristondo2015/06
ER  -