THE MULTIDIMENSIONAL MEASUREMENT OF POVERTY: A FUZZY SET APPROACH
Michele Costa () and
Luca De Angelis ()
Statistica, 2008, vol. 68, issue 3, 303-319
By using fuzzy set theory a multidimensional analysis of poverty of Italian households is performed on the basis of SHIW data. A set of composite indicators is constructed in order to analyze different dimensions of poverty. For each indicator is calculated an unidimensional poverty ratio, thus allowing a comparison among indicators on the dimensions of poverty. Finally, a multidimensional poverty ratio is obtained.
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Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:68:y:2008:i:3:p:303-319
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