Joint hypothesis tests for multidimensional inequality indices
Abul Naga, R. H., Shen, Y. & Yoo, H. I.
(2016).
Joint hypothesis tests for multidimensional inequality indices.
Economics Letters,
141, 138-142.
https://doi.org/10.1016/j.econlet.2016.02.010
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 |
|---|---|
| Copyright holders | © 2016 Elsevier |
| Departments | LSE > Academic Departments > Economics |
| DOI | 10.1016/j.econlet.2016.02.010 |
| Date Deposited | 09 Mar 2016 |
| Acceptance Date | 11 Feb 2016 |
| URI | https://researchonline.lse.ac.uk/id/eprint/65678 |
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