Standard kernel density estimation methods are very often used in practice to estimate density function. It works well in numerous cases. However, it is known not to work so well with skewed, multimodal and heavy-tailed distributions. Such features are usual with income distributions, defined...

This paper proposes a two-parameter family of socio-economic health inequality indices. First, these indices allow a Boolean risk factor to be associated to other health dimensions. Second, multidimensional health distributions can be compared thanks to a stochastic dominance rule, which...

An aggregable family of multidimensional concentration indices is characterized, in order to be consistent with a property of exogenous risk factors, i.e. health risks for which agents are not responsible for. The family of concentration indices (or achievement indices by duality) lies in the...