Joint hypothesis tests for multidimensional inequality indices

C-Tier
Journal: Economics Letters
Year: 2016
Volume: 141
Issue: C
Pages: 138-142

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:ecolet:v:141:y:2016:i:c:p:138-142
Journal Field
General
Author Count
3
Added to Database
2026-01-24