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THE MULTIDIMENSIONAL MEASUREMENT OF POVERTY: A FUZZY SET APPROACH

Michele Costa () and Luca De Angelis ()

Statistica, 2008, vol. 68, issue 3, 303-319

Abstract: 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.

Date: 2008
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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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