Statistical Methods for Distributional Analysis

Frank Cowell () and Emmanuel Flachaire

No 1507, AMSE Working Papers from Aix-Marseille School of Economics, France

Abstract: 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.

Keywords: goodness of fit; parametric modelling; non-parametric methods; dominance criteria; welfare indices; inequality measure; poverty measure; influence function; hypothesis testing; confidence intervals; bootstrap (search for similar items in EconPapers)
JEL-codes: C10 D31 D63 (search for similar items in EconPapers)
Pages: 107 pages
Date: 2015-02
New Economics Papers: this item is included in nep-ecm and nep-ltv
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (51)

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Related works:
Working Paper: Statistical Methods for Distributional Analysis (2015)
Working Paper: Statistical Methods for Distributional Analysis (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:aim:wpaimx:1507

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