This Chapter explores the potential of introducing the Dagum distribution into the Integrated Fuzzy Relative poverty measure. This implies using the Dagum model to fit an empirical cumulative distribution that forms one of the components of the membership function of 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.

Fuzzy monetary poverty measures under a Dagum income distributive hypothesis

D'AGOSTINO, ANTONELLA
2008-01-01

Abstract

This Chapter explores the potential of introducing the Dagum distribution into the Integrated Fuzzy Relative poverty measure. This implies using the Dagum model to fit an empirical cumulative distribution that forms one of the components of the membership function of 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.
2008
978-0-387-72756-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/18819
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