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. Download PDF (292Kb) |
| 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/ |
| Date accepted: | 11 February 2016 |
| Date deposited: | 15 February 2016 |
| Date of first online publication: | 27 February 2016 |
| Date first made open access: | 27 August 2017 |
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