Lorenz curves and second-order dominance criteria, the fundamental tools for stochastic dominance, are known to be sensitive to data contamination in the tails of the distribution. We propose two ways of dealing with the problem: (1) Estimate Lorenz curves using parametric models and (2) combine...

We provide a partial ordering view of horizontal inequity (HI), based on the Lorenz criterion, associated with different post-tax income distributions and a (bistochastic) non-parametric estimated benchmark distribution. As a consequence, several measures consistent with the Lorenz criterion can...

Lorenz curves and second-order dominance criteria are known to be sensitive to data contamination in the right tail of the distribution. We propose two ways of dealing with the problem: (1) Estimate Lorenz curves using parametric models for income distributions, and (2) Combine empirical...

The aim of my PhD projects is to investigate various problems in applied parametric and nonparametric estimation, and eventually in prediction. The main focus is on welfare analysis. For instance, in both nonparametric density estimation and regression, the so-called boundary effects, i.e. the...