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.
|Number of pages||5|
|Early online date||27 Feb 2016|
|Publication status||Published - Apr 2016|
- multidimensional inequality indices
- large sample distributions
- joint hypothesis tests