The multidimensional measurement of poverty: a fuzzy set approach

Authors

  • Michele Costa Alma Mater Studiorum - Università di Bologna
  • Luca De Angelis Alma Mater Studiorum - Università di Bologna

DOI:

https://doi.org/10.6092/issn.1973-2201/3536

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.

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Published

2008-12-31

How to Cite

Costa, M., & De Angelis, L. (2008). The multidimensional measurement of poverty: a fuzzy set approach. Statistica, 68(3/4), 303–319. https://doi.org/10.6092/issn.1973-2201/3536

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