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Multidimensional Poverty Measurement and Analysis: Chapter 5 - The Alkire-Foster Counting Methodology

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

Abstract

This chapter provides a systematic overview of the Alkire-Foster multidimensional measurement methodology with an emphasis on the Adjusted Headcount Ratio. The chapter is divided into seven sections. The first shows how this measure combines the practical appeal of the counting tradition with the rigour of the axiomatic one. The second sets out the identification of who is poor using the dual-cutoff approach, and the third outlines the aggregation method used to construct the Adjusted Headcount Ratio. In the fourth, we take stock and present the main distinctive characteristics of the Adjusted Headcount Ratio, whereas the fifth section presents its useful, consistent partial indices or components. To illustrate, we present a case study using the global Multidimensional Poverty Index (MPI) in the sixth section. The final section presents the members of the AF class of measures that can be constructed in less common situations where data are cardinal.

Suggested Citation

  • Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 5 - The Alkire-Foster Counting Methodology," OPHI Working Papers ophiwp086_ch5.pdf, Queen Elizabeth House, University of Oxford.
  • Handle: RePEc:qeh:ophiwp:ophiwp086_ch5.pdf
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    Cited by:

    1. Nicolai Suppa, 2017. "Transitions in Poverty and Deprivations: An Analysis of Multidimensional Poverty Dynamics," SOEPpapers on Multidisciplinary Panel Data Research 894, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Sabina Alkire and James Foster, 2016. "Dimensional and Distributional Contributions to Multidimensional Poverty," OPHI Working Papers ophiwp100_2.pdf, Queen Elizabeth House, University of Oxford.
    3. Suppa, Nicolai, 2015. "Towards a Multidimensional Poverty Index for Germany," Ruhr Economic Papers 541, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Daria Popova & Alina Pishniak, 2017. "Measuring Individual Material Well-Being Using Multidimensional Indices: An Application Using the Gender and Generation Survey for Russia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 883-910, February.
    5. repec:spr:soinre:v:138:y:2018:i:1:d:10.1007_s11205-017-1662-9 is not listed on IDEAS

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