Joint Hypothesis Tests for Multidimensional Inequality Indices

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

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: Aug 27, 2017
• Journal: Economics Letters
• Print ISSN: 0165-1765
• Electronic ISSN: 1873-7374
• 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