Multidimensional poverty indices

Tsui, Kai-yuen

doi:10.1007/s355-002-8326-3

Cited by 420 publications

(278 citation statements)

References 18 publications

(34 reference statements)

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“…Some approaches that have been adopted to handle the aggregation problem 6 are axiomatic and extensions of unidimensional poverty indices (Tsui 2002;Atkinson 2003;. Other nonaxiomatic approaches in the literature include the fuzzy set approach (Cerioli and Zani 1990;Cheli and Lemmi 1994;Chiappero-Martinetti 2006), the distance function method (Lovell et al 1994;Anderson et al 2005), the information theory approach (Maasoumi 1993;Deutsch and Silber 2005;Maasoumi and Lugo 2008), the inertia approach and factor analysis (Klasen 2000;Sahn and Stifel 2003), and methods from the psychometric literature (Wagle 2005;Di Tommaso 2007;Krishnakumar and Ballon 2008).…”

Section: Approachmentioning

confidence: 99%

Growth and Poverty in Sub-Saharan Africa

Arndt¹,

McKay

Tarp

2016

Growth and Poverty in Sub-Saharan Africa

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes.You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence.https://creativecommons.org/licenses/by-nc-sa/3.0/igo/ www.econstor.eu Growth and Poverty in Sub-Saharan AfricaUnited Nations University World Institute for Development Economics Research (UNU-WIDER) was established by the United Nations University as its first research and training centre and started work in Helsinki, Finland, in 1985. The mandate of the institute is to undertake applied research and policy analysis on structural changes affecting developing and transitional economies, to provide a forum for the advocacy of policies leading to robust, equitable, and environmentally sustainable growth, and to promote capacity strengthening and training in the field of economic and social policymaking. Its work is carried out by staff researchers and visiting scholars in Helsinki and via networks of collaborating scholars and institutions around the world. The moral rights of the authors have been assertedFirst Edition published in 2016 Impression: 1 Some rights reserved. This is an open access publication. Except where otherwise noted, this work is distributed under the terms of a Creative Commons Attribution-Non Commercial-Share Alike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO), a copy of which is available at https://creativecommons.org/licenses/by-nc-sa/3.0/igo/.It is permitted to reuse, share and adapt this work, subject to the following terms:Attribution -appropriate credit is given to the original work, the copyright holder and creator, and any changes made to the work are properly indicated.Non-Commercial -the work, or any adaptation of the work, may not be used, distributed or reproduced in any format, by any means, for commercial purposes.Share-Alike -the work, or any adaptation of the work is distributed under the same licence terms as the original, with a URL link provided to the licence.Enquiries concerning use outside the terms of the Creative Commons licence should be sent to the Rights Department, Oxford University Press, at the above address or to academic.p...

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Section: Approachmentioning

confidence: 99%

Growth and Poverty in Sub-Saharan Africa

Arndt¹,

McKay

Tarp

2016

Growth and Poverty in Sub-Saharan Africa

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“…Very few studies have attempted to derive axiomatically multidimensional indices of poverty (see, however, Chakravarty, Mukherjee and Ranade, 1998, and Tsui, 2002). The basic idea of both studies is as follows.…”

Section: The Axiomatic Approachmentioning

confidence: 99%

Multidimensional approaches to poverty measurement: an empirical analysis of poverty in Belgium, France, Germany, Italy and Spain, based on the European panel

D’Ambrosio¹,

Deutsch

Silber

2009

Applied Economics

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This article has three goals. First, we wish to compare three multidimensional approaches to poverty and check to what extent they identify the same households as poor. Second, we aim at better understanding the determinants of poverty by estimating logit regressions with five categories of explanatory variables: size of the household, age of the head of the household, her gender, marital status and status at work. Third, we introduce a decomposition procedure proposed recently in the literature, the so-called Shapley decomposition, in order to determine the exact marginal impact of each of the categories of explanatory variables. Our empirical analysis is based on data made available by the European Community Household Panel (ECHP). We used its third wave and selected five countries: Belgium, France, Germany, Italy and Spain.

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“…A growing literature which looks at the properties of multi-dimensional measures and rankings has begun to take on some of these issues explicitly (Tsui, 1997;Chakravarty, 2002, 2003;Atkinson, 2003 inter alia).…”

Section: Issues Raised By the Multi-dimensionality Of Poverty And Welmentioning

confidence: 99%

On the Arbitrariness and Robustness of Multi-Dimensional Poverty Rankings

Qizilbash¹

2004

Journal of Human Development

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It is often argued that multi-dimensional measures of well-being and poverty-such as those based on the capability approach and related views-are ad hoc. Rankings based on them are not, for this reason, robust to changes in the selection of weights used. In this paper, it is argued that the extent of potential arbitrariness and the range of issues relating to robustness have been underestimated in this context. Several issues relating to both the identification of the poor and the use of dimension-specific data are distinguished. These issues are then discussed in the context of the inter-provincial ranking of poverty in South Africa in 1995-6. It turns out that this ranking is fairly robust, and that some important policy-relevant results about the distinction between 'income'/'expenditure' and 'human' poverty for the South African context are reinforced rather than undermined by checking for robustness. In particular, while KwaZulu Natal is in the best three in terms of the standard expenditure measures for various choices of poverty line, it is third worst in terms of all the multi-dimensional rankings presented here.

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Multidimensional poverty indices

Cited by 420 publications

References 18 publications

Growth and Poverty in Sub-Saharan Africa

Growth and Poverty in Sub-Saharan Africa

Multidimensional approaches to poverty measurement: an empirical analysis of poverty in Belgium, France, Germany, Italy and Spain, based on the European panel

On the Arbitrariness and Robustness of Multi-Dimensional Poverty Rankings

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