Abul Naga, R. H. and Shen, Y. and Yoo, H. I. (2016) 'Joint hypothesis tests for multidimensional inequality indices.', Economics letters., 141 . pp. 138-142.
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.
|Full text:||(AM) Accepted Manuscript|
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
Download PDF (292Kb)
|Publisher Web site:||http://dx.doi.org/10.1016/j.econlet.2016.02.010|
|Publisher statement:||© 2016 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/|
|Date accepted:||11 February 2016|
|Date deposited:||15 February 2016|
|Date of first online publication:||27 February 2016|
|Date first made open access:||27 August 2017|
Save or Share this output
|Look up in GoogleScholar|