A Fuzzy Approach To The Measurement Of Poverty

Cerioli, Andrea; Zani, Sergio

doi:10.1007/978-3-642-84250-4_18

Cited by 291 publications

(187 citation statements)

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“…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). Batana and Duclos (2008) draw attention to the concern that the arbitrary nature of assumptions involved in choosing poverty thresholds and in aggregating across welfare dimensions and individuals may diminish the robustness of results.…”

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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“…In the socio-economic literature, evaluation is often performed according to a "response from a population" approach (Cerioli and Zani 1990 ) . In the language of social choice, this means that a set of judges is identi fi ed, each assigning an evaluation score to the statistical units.…”

Section: Computation Of the Evaluation Functionmentioning

confidence: 99%

From Composite Indicators to Partial Orders: Evaluating Socio-Economic Phenomena Through Ordinal Data

Fattore

Maggino

Colombo

2012

Social Indicators Research Series

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The present debate on well-being measurement is clearly pointing out that a valuable evaluation process has to take into account many different and complementary aspects, in order to get a comprehensive picture of the problem and to effectively support decision-making. Assessing well-being requires sharing a conceptual framework about its determinants and about society and needs the identi fi cation of the most consistent and effective methodologies for building indicators and for communicating purposes. From a statistical perspective, one of the critical points concerns the preservation of the true nature of the socio-economic phenomena to be analysed. This calls for an adequate methodological approach. Several socio-economic phenomena have an intrinsic ordinal nature (e.g. material deprivation, democratic development, employment status), and correspondingly, there has been an increasing availability of ordinal datasets. Nevertheless, ordinal data have been often conceived as just a rough approximation of truly numerical and precise, yet non-observable, features, as if a numerical latent structure would exist under ordinal appearances. As a result, the search for alternative statistical procedures has been slowed down, and many epistemological, methodological and statistical problems regarding ordinal data treatment are still open and unsolved:

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“…We will not go deeper into the alternate approaches in this paper. Among the notable contributions in the field of fuzzy measures one can cite, for instance, Cerioli and Zani (1990), Qizilbash (2002), Cheli and Lemmi (1995), and Chiappero Martinetti (2000). Here, we will only concentrate on the latent variable approach.…”

Section: Theoretical Background (A) Capabilities Standard Of Living mentioning

confidence: 99%

Estimating Basic Capabilities: A Structural Equation Model Applied to Bolivia

2008

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Summary. -This paper proposes a suitable theoretical framework for operationalizing the capability approach using the latent variable methodology. A structural equation model is specified to account for the unobservable and multidimensional aspects characterizing the concept of human development and to capture the mutual influence among different capabilities. The model is applied to Bolivian data for studying two ''basic'' capability domains relating to children: knowledge and living conditions. Individual capability indices are constructed from the estimation results and their empirical distributions analyzed. Our results show a strong interdependence between the above capabilities and confirm the role of exogenous factors in their determination.

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A Fuzzy Approach To The Measurement Of Poverty

Cited by 291 publications

References 12 publications

Growth and Poverty in Sub-Saharan Africa

Growth and Poverty in Sub-Saharan Africa

From Composite Indicators to Partial Orders: Evaluating Socio-Economic Phenomena Through Ordinal Data

Estimating Basic Capabilities: A Structural Equation Model Applied to Bolivia

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