Joint hypothesis tests for multidimensional inequality indices

Ramses Abul Naga, Yajie Shen and Hong Il Yoo

Economics Letters, 2016, vol. 141, issue C, 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.

Keywords: Multidimensional inequality indices; Large sample distributions; Joint hypothesis tests; Bootstrap (search for similar items in EconPapers)
JEL-codes: C43 D63 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:141:y:2016:i:c:p:138-142

DOI: 10.1016/j.econlet.2016.02.010

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