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.
M. Costa, L. De Angelis (2008). The multidimensional measurement of poverty: a fuzzy set approach. STATISTICA, 68(3-4), 303-319 [10.6092/issn.1973-2201/3536].
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.File in questo prodotto:
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