Category

Number of Access this item:983（2024-04-16 23:50 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/10086/18528

Link to primary information 

File Format Size Views Description
cover_18528 pdf
gd10-139 pdf 408 KB 1,072

Item Information

Output File

Title
Multidimensional Poverty Rankings based on Pareto Principle : A Practical Extension
Creator
Creator Name
Michinaka, Maki Michinaka, Maki
道中, 真紀 道中, 真紀
ミチナカ, マキ ミチナカ, マキ
Affiliation
Affiliation Name
Hitotsubashi University
Creator Name
Ito, Takahiro Ito, Takahiro
伊藤, 高弘 伊藤, 高弘
イトウ, タカヒロ イトウ, タカヒロ
Affiliation
Affiliation Name
Osaka University
Editor
Contributor Name
社会科学の高度統計・実証分析拠点構築 = Research Unit for Statistical and Empirical Analysis in Social Sciences
Affiliation
Affiliation Name
Hitotsubashi University
Abstract
This paper proposes a ranking method of multidimensional poverty and extends it aiming to enhance its practical utility. While our original ranking method that assumes non-comparability among different dimensions of poverty succeeds in eliminating some implicit arbitrariness in existing ranking, it also confronts a disadvantage that a nonnegligible number of objectives (countries) are ranked at the same level. In order to improve this disadvantage, we propose an extended ranking method, where we allow the data to have a certain range of bandwidth. The introduction of bandwidth improves the usefulness of our ranking in the sense that it decreases the number of countries with the same rank. In addition, a simulation exercise shows that this extension also improves the robustness of the ranking against measurement errors.
Publisher
Institute of Economic Research, Hitotsubashi University
Issued Date
2010-05
Language
English(eng)
Resource Type
technical report
Version Type
VoR
Is Part OfRelation -
Related Title
Global COE Hi-Stat Discussion Paper Series ; No. 139
Relation
Related Identifier
URI
  http://gcoe.ier.hit-u.ac.jp/english/index.html
Number of Pages
23
Sponsorship
グローバルCOEプログラム = Global COE Program
Appears in Collections
Global COE Hi-Stat Discussion Paper Series
URL
https://hdl.handle.net/10086/18528