L’Inégalité de Pauvreté Au Cameroun : Une Analyse Empirique à L’aide de la décomposition en sous-groupes de Dagum

From a multidimensional analysis of poverty which enables us, through the use of technique of fuzzy sets, to construct a poverty indicator in this perspective in Cameroon, we analyse the poverty gaps in our country by making use of the Dagum sub-group decomposition (1997) which breaks down the Gini index into three components. Poverty analysis revealed that education and housing contribute more to the national poverty. The Gini poverty index obtained is 0.188736, and its decomposition revealed that intergroup inequalities contribute most to the overall inequality. This indicates that the poverty gap is wider between the groups.