Asymptotic Theory and Statistical Decomposability gap Estimation for Takayama's Index
Methodology
2017-01-18 v1
Abstract
In the spirit of recent asymptotic works on the General Poverty Index (GPI) in the field of Welfare Analysis, the asymptotic representation of the non-decomposable Takayama's index, which has failed to be incorporated in the unified GPI approach, is addressed and established here. This representation allows also to extend to it, recent results of statistical decomposability gaps estimations. The theoretical results are applied to real databases. The conclusions of the undertaken applications recommend to use Takayama's index as a practically decomposable one, in virtue of the low decomposability gaps with respect to the large values of the index.
Keywords
Cite
@article{arxiv.1701.04735,
title = {Asymptotic Theory and Statistical Decomposability gap Estimation for Takayama's Index},
author = {Pape Djiby Mergane and Cheikh Mohamed Haidara and Cheikh Tidiane Seck and Gane Samb Lo},
journal= {arXiv preprint arXiv:1701.04735},
year = {2017}
}
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