Joint hypothesis tests for multidimensional inequality indices
2016
Abul Naga, Ramses H. | Shen, Yajie | Yoo, Hong Il
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.
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