Abstract
The main scope of the paper is to adopt a fuzzy sets approach for the measurement of multidimensional poverty over a period of eight years, from 2007 to 2015, which takes into account the effect of the 2008 economic and financial crisis. In particular, the focus is on the financial dimension of poverty, and its effects on citizens in the EU Mediterranean Area. The empirical analysis, based on the European Union—Statistics on Income and Living Conditions survey (EU-SILC), covers eight Mediterranean Countries.
Highlights
It is already well established in the literature of the last thirty years, that to understand poverty and social exclusion, it is necessary to consider deprivation aspects simultaneously in its multiple dimensions
This paper has the peculiar scope of adopting a fuzzy approach for the measurement of the multidimensional poverty in the Mediterranean Area, over a period of eight years, from 2007 to 2015, which takes into account the effect of the 2008 economic and financial crisis
A first group, composed of four dimensions, where the indices are in general slightly lower than Fuzzy Supplementary (FS); these dimensions are: FS1—basic lifestyle FS5—environment FS6—work and education FS7—health related. Another group of three dimensions, for which the poverty rates are sensibly lower than FS, namely: FS2—consumer durables FS3—housing amenities FS4—financial situation
Summary
It is already well established in the literature of the last thirty years, that to understand poverty and social exclusion, it is necessary to consider deprivation aspects simultaneously in its multiple dimensions. The state of deprivation is, seen in the form of “fuzzy sets” to which all members of the population belong but to varying degrees In this way, we are able to clarify and propose a solution for one of the problems raised in the literature [14,15], and especially in Reference [16]: “How can different attributes be aggregated? It is often based on somewhat subjective questions collected in a sample survey, and whose answers could be affected by measurement errors determined by the emotional status of respondents.
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