By using fuzzy set theory a multidimensional analysis of poverty of Italian households is performed on the basis of Bank of Italy 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.

The multidimensional measurement of poverty: a fuzzy set approach

COSTA, MICHELE;DE ANGELIS, LUCA
2008

Abstract

By using fuzzy set theory a multidimensional analysis of poverty of Italian households is performed on the basis of Bank of Italy 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.
2008
M. Costa; L. De Angelis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/83059
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