Statistical Methods for Distributional Analysis

Frank Cowell () and Emmanuel Flachaire

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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: parametric modelling; non-parametric methods; goodness of fit; dominance criteria; poverty measure; hypothesis testing; welfare indices; inequality measure; bootstrap; influence function; confidence intervals (search for similar items in EconPapers)
Date: 2014-04
New Economics Papers: this item is included in nep-ltv
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01115996
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Related works:
Working Paper: Statistical Methods for Distributional Analysis (2015)
Working Paper: Statistical Methods for Distributional Analysis (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:halshs-01115996

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