Statistical Methods for Distributional Analysis

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.

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Year of publication:	2015-02
Authors:	Cowell, Franck A. ; Flachaire, Emmanuel
Subject:	goodness of fit \| parametric modelling \| non-parametric methods \| dominance criteria \| welfare indices \| inequality measure \| poverty measure \| influence function \| hypothesis testing \| confidence intervals \| bootstrap

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Extent:	application/pdf
Series:	AMSE Working Papers.
Type of publication:	Book / Working Paper
Notes:	Number 1507 107 pages
Classification:	D31 - Personal Income, Wealth and Their Distributions ; D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement ; C10 - Econometric and Statistical Methods: General. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011167286