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Joint Hypothesis Tests for Multidimensional Inequality Indices

Abul Naga, R.H.; Shen, Y.; Yoo, H.I.

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Authors

R.H. Abul Naga

Y. Shen

H.I. Yoo



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.

Citation

Abul Naga, R., Shen, Y., & Yoo, H. (2016). Joint Hypothesis Tests for Multidimensional Inequality Indices. Economics Letters, 141, 138-142. https://doi.org/10.1016/j.econlet.2016.02.010

Journal Article Type Article
Acceptance Date Feb 11, 2016
Online Publication Date Feb 27, 2016
Publication Date Apr 1, 2016
Deposit Date Feb 13, 2016
Publicly Available Date Mar 28, 2024
Journal Economics Letters
Print ISSN 0165-1765
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 141
Pages 138-142
DOI https://doi.org/10.1016/j.econlet.2016.02.010
Public URL https://durham-repository.worktribe.com/output/1412118

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