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Fuzzy Monetary Poverty Measures under a Dagum Income Distributive Hypothesis

In: Modeling Income Distributions and Lorenz Curves

Author

Listed:
  • Gianni Betti

    (University of Siena)

  • Antonella D’Agostino

    (University of Naples “Parthenope”)

  • Achille Lemmi

    (University of Siena)

Abstract

This chapter explores the potential of introducing the Dagum distribution into the IFR (Integrated Fuzzy Relative) poverty measure. This implies using the Dagum model for fitting the empirical cumulative distribution that forms one of the components of the membership function to the set of poor in the IFR methodology. Moreover, we propose a heterogeneous Dagum model in order to allow the form of income distribution to vary with personal characteristics. In this way, we are able to make comparisons across sub-groups of the population between the traditional and the IFR measures of poverty.

Suggested Citation

  • Gianni Betti & Antonella D’Agostino & Achille Lemmi, 2008. "Fuzzy Monetary Poverty Measures under a Dagum Income Distributive Hypothesis," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 12, pages 225-240, Springer.
    • Handle: RePEc:spr:esichp:978-0-387-72796-7_12
    DOI: 10.1007/978-0-387-72796-7_12
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