Chapter 6. Statistical Methods for Distributional Analysis

This chapter discusses the formal and informal techniques that are commonly used to give quantitative answers in the field of distributional analysis. To this end, it covers subjects including inequality, poverty, and the modeling of income distributions. It also deals with parametric and nonparametric approaches and the way in which imperfections in data may be handled in practice.

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Year of publication:	2015
Authors:	Cowell, Frank A. ; Flachaire, Emmanuel
Published in:	Handbook of income distribution : volume 2. - Amsterdam : North Holland, ISBN 978-0-444-59476-1. - 2015, p. 359-465
Subject:	Goodness of fit \| Parametric modeling \| Nonparametric methods \| Dominance criteria \| Welfare indices \| Inequality measure \| Poverty measure \| Influence function \| Hypothesis testing \| Confidence intervals \| Bootstrap \| Einkommensverteilung \| Income distribution \| Armut \| Poverty \| Schätztheorie \| Estimation theory \| Messung \| Measurement \| Statistische Methodenlehre \| Statistical theory \| Bootstrap-Verfahren \| Bootstrap approach \| Statistische Methode \| Statistical method \| Statistischer Test \| Statistical test \| Sozialer Indikator \| Social indicator

Type of publication:	Article
Language:	English
Other identifiers:	10.1016/B978-0-444-59428-0.00007-2 [DOI]
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:	ECONIS - Online Catalogue of the ZBW

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