Joint hypothesis tests for multidimensional inequality indices

Ramses H Abul Naga; Yajie Shen; Hong Il Yoo

doi:10.1016/j.econlet.2016.02.010

Joint hypothesis tests for multidimensional inequality indices

Ramses H Abul Naga, Yajie Shen, Hong Il Yoo

Economics

London School of Economics and Political Science

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Abstract

An inequality index over p dimensions of well-being is decomposable by attributes if it can expressed as a function of p unidimensional inequality indices and a measure of association between the various dimensions of well-being. We exploit this decomposition framework to derive joint hypothesis tests regarding the sources of multidimensional inequality, and present Monte Carlo evidence on their finite sample behavior.

Original language	English
Pages (from-to)	138-142
Number of pages	5
Journal	Economics Letters
Volume	141
Early online date	27 Feb 2016
DOIs	https://doi.org/10.1016/j.econlet.2016.02.010
Publication status	Published - Apr 2016

Bibliographical note

Acknowledgments
This work has been undertaken with the support of the A*MIDEX project (n ∘ ANR-11-IDEX-0001-02) funded by the “Investissements d’Avenir” French Government program, managed by the French National Research Agency (ANR). We are grateful to Julian Williams, Editor Badi H. Baltagi and an anonymous referee for helpful comments. We are responsible for any errors.

Keywords

multidimensional inequality indices
large sample distributions
joint hypothesis tests
bootstrap

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Accepted Manuscript
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Accepted author manuscript, 291 KBLicence: CC BY-NC-ND

Cite this

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author = "{Abul Naga}, {Ramses H} and Yajie Shen and Yoo, {Hong Il}",

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AU - Shen, Yajie

AU - Yoo, Hong Il

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AB - An inequality index over p dimensions of well-being is decomposable by attributes if it can expressed as a function of p unidimensional inequality indices and a measure of association between the various dimensions of well-being. We exploit this decomposition framework to derive joint hypothesis tests regarding the sources of multidimensional inequality, and present Monte Carlo evidence on their finite sample behavior.

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KW - large sample distributions

KW - joint hypothesis tests

KW - bootstrap

U2 - 10.1016/j.econlet.2016.02.010

DO - 10.1016/j.econlet.2016.02.010

M3 - Article

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VL - 141

SP - 138

EP - 142

JO - Economics Letters

JF - Economics Letters

ER -

Joint hypothesis tests for multidimensional inequality indices

Abstract

Bibliographical note

Keywords

UN SDGs

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