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.
|Place of Publication||Aberdeen|
|Publisher||University of Aberdeen Business School|
|Number of pages||13|
|Publication status||Published - 8 Feb 2016|
|Name||Discussion Paper in Economics|
|Publisher||University of Aberdeen|
- multidimensional inequality indices
- large sample distributions
- joint hypothesis tests
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)
Abul Naga, R. H., Shen, Y., & Yoo, H. I. (2016). Joint Hypothesis Tests for Multidimensional Inequality Indices. (pp. 0-12). (Discussion Paper in Economics; Vol. 16, No. 3). Aberdeen: University of Aberdeen Business School.