Article citationsMore>>

Dagum, C., & Costa, M. (2004). Analysis and Measurement of Poverty. Univariate and Multivariate Approaches and Their Policy Implications. A Case Study: Italy. In C. Dagum, & G. Ferrari (Eds.), Household Behaviour, Equivalence Scales, Welfare and Poverty (pp. 221-271). Springer.
https://doi.org/10.1007/978-3-7908-2681-4_11

has been cited by the following article:

• TITLE: Gini Multi-Decomposition by Subpopulation in Fuzzy Poverty: Evidence of Chad

  AUTHORS: Themoi Demsou

  KEYWORDS: Population Subgroup, Decomposition into Groups, Multidimensional Poverty, Fuzzy Inequality

  JOURNAL NAME: Theoretical Economics Letters, Vol.12 No.6, December 12, 2022

  ABSTRACT: This study aims to analyze the configuration of inequalities in Chad through a multidimensional approach. The multidimensional approach adopted and based on the fuzzy set is also called the theory of fuzzy set. The multidimensional poverty indices are calculated by the formulations of Cerioli and Zani. These indices are broken down following the method of Camilo Dagum by groups. The data used come from the Household Budget and Consumption Surveys of 2003 of 6695 households and 2011 of 9259 households. The result shows that the Gini indices indicate less unequal situations which are around 0.263 in 2003 to 0.278 in 2011. Social policies for the reduction of multi-inequality must be directed towards the most disadvantaged households.