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Joint hypothesis tests for multidimensional inequality indices.

Abul Naga, R. H. and Shen, Y. and Yoo, H. I. (2016) 'Joint hypothesis tests for multidimensional inequality indices.', Economics letters., 141 . pp. 138-142.

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.

Item Type:Article
Full text:(AM) Accepted Manuscript
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
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Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.1016/j.econlet.2016.02.010
Publisher statement:© 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/
Record Created:15 Feb 2016 10:05
Last Modified:27 Aug 2017 00:48

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