Decompositions for the Kakwani poverty index

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/ifsa-eusflat-15.2015.22
ID  - Aristondo2015/06
ER  -