Statistical Methods for Distributional Analysis

Frank A. Cowell (1) , Emmanuel Flachaire (2)

1 STICERD
2 GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille

This Chapter is about the techniques, formal and informal, that are commonly used to give quantitative answers in the field of distributional analysis - covering subjects including inequality, poverty and the modelling of income distributions. It deals with parametric and non-parametric approaches and the way in which imperfections in data may be handled in practice.

Mots clés: parametric modelling; non-parametric methods; goodness of fit; dominance criteria; poverty measure; hypothesis testing; welfare indices; inequality measure; bootstrap; influence function; confidence intervals

Domaines: Economies et finances

Frank A. Cowell, Emmanuel Flachaire. Statistical Methods for Distributional Analysis. 2014. ⟨halshs-01115996⟩