Showing 1 - 6 of 6
multidimensional poverty within and between sub-groups of population, and to determine the dimensions that tend to increase inequality … in poverty. The goal of this article is double. Firstly, we present the combined methodology to study the inequality in …
Persistent link: https://www.econbiz.de/10005642135
The aim of this paper is to provide an application of the Shapley Value to decompose financial portfolio risk. Decomposing the sample covariance risk measure yields relative measures, which enable securities of a portfolio to be classified according to risk scales.
Persistent link: https://www.econbiz.de/10005609449
Gini and entropy are the most use measures to gauge income inequalities. We show that each measure yields different subgroup decomposition techniques into within-group inequalities and between-group inequalities. Then, we show that the Gini index has been decomposed into many ways to bring out a...
Persistent link: https://www.econbiz.de/10005642150
This article extends the paper of Dagum C. and Costa M. (“Analysis and Measurement of Poverty. Univariate and Multivariate Approaches and their Policy Implications. A case of Study: Italy”, In Dagum C. and Ferrari G. (eds.), Household Behaviour, Equivalence Scales, Welfare and Poverty,...
Persistent link: https://www.econbiz.de/10005642162
This paper explores the link between polarization and inequality and proposes some analytical methods to decompose the … even if inequality has increased sharply during the last two decades, the pure polarization component was remained constant …
Persistent link: https://www.econbiz.de/10005015267
Decomposing inequality indices across household groups or income sources is useful in estimating the contribution of … each component to total inequality. This can help policy makers draw efficient policies to reduce disparities in the … distribution of incomes using targeting tools. Decomposing relative inequality indices, such as the Gini coefficient, is not a …
Persistent link: https://www.econbiz.de/10005670279