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Multidimensional Poverty Measurement and Analysis: Chapter 4 - Counting Approaches: Definitions, Origins, and Implementations

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  • Sabina Alkire
  • James E. Foster
  • Suman Seth
  • Maria Emma Santos
  • Jose M. Roche
  • Paola Ballon

Abstract

The measurement of poverty involves identification: the fundamental step of deciding who is to be considered poor. A 'counting approach' is one way to identify the poor in multidimensional poverty measurement, which entails the intuitive procedure of counting the number of dimensions in which people suffer deprivation. Atkinson (2003) advised an engagement between multidimensional measures from social welfare and the counting approaches due to the widespread policy use of the latter. This chapter reviews applications of the counting methods in the history of poverty measurement. We focus on empirical studies since the late '70s which developed relatively independently of each other in two regions. In Latin America, applications of the Unsatisfied Basic Needs Approach were widespread, often using census and survey data. European work drew on concepts of social exclusion and inclusion, and now include national and European initiatives.

Suggested Citation

  • Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 4 - Counting Approaches: Definitions, Origins, and Implementations," OPHI Working Papers 85, Queen Elizabeth House, University of Oxford.
  • Handle: RePEc:qeh:ophiwp:ophiwp085
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    Cited by:

    1. Ahmed, Abubakari & Gasparatos, Alexandros, 2020. "Multi-dimensional energy poverty patterns around industrial crop projects in Ghana: Enhancing the energy poverty alleviation potential of rural development strategies," Energy Policy, Elsevier, vol. 137(C).
    2. Morel Berendson, Ricardo & Girón, Liz, 2022. "The multidimensional impacts of the Conditional Cash Transfer program Juntos in Peru," MERIT Working Papers 2022-012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Ssennono, Vincent Fred & Ntayi, Joseph M. & Buyinza, Faisal & Wasswa, Francis & Aarakit, Sylvia Manjeri & Mukiza, Chris Ndatira, 2021. "Energy poverty in Uganda: Evidence from a multidimensional approach," Energy Economics, Elsevier, vol. 101(C).
    4. Loaiza Quintero, Osmar Leandro & Muñetón Santa, Guberney & Vanegas, Juan Gabriel, 2018. "Forced displacement and Multidimensional Poverty in Antioquia, Colombia: an assessment by means of a Seemingly Unrelated Regression," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 41, pages 167-190.
    5. Witinok-Huber, Rebecca & Radil, Steven M., 2021. "Introducing the Local Agricultural Potential Index: An approach to understand local agricultural extension impact for farmer adaptive capacity and gender equity," World Development Perspectives, Elsevier, vol. 23(C).
    6. Abubakari Ahmed & Eric Dompreh & Alexandros Gasparatos, 2019. "Human wellbeing outcomes of involvement in industrial crop production: Evidence from sugarcane, oil palm and jatropha sites in Ghana," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-33, April.
    7. Sophie Mitra & Debra Brucker, 2019. "Monitoring multidimensional poverty in the United States," Economics Bulletin, AccessEcon, vol. 39(2), pages 1272-1293.
    8. Erasmo, Valentina, 2021. "Female economists and philosophers’ role in Amartya Sen’s thought: his colleagues and his scholars," MPRA Paper 105769, University Library of Munich, Germany.

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