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Moderate Multidimensional Poverty Index: Paving the Way Out of Poverty

Author

Listed:
  • Sabina Alkire

    (University of Oxford)

  • Fanni Kövesdi

    (University of Oxford)

  • Elina Scheja

    (Swedish International Development Cooperation Agency (Sida))

  • Frank Vollmer

    (University of Oxford)

Abstract

Eradicating poverty in all its forms, everywhere, requires indicators that measure sustainable pathways out of poverty, and not only the absence of acute poverty. This paper introduces a trial Moderate Multidimensional Poverty Index (MMPI) that reflects moderate rather than acute levels of multidimensional poverty. The MMPI adjusts nine of the 10 indicators of the global Multidimensional Poverty Index (global MPI) to reflect moderate poverty and create a meaningful superset of the acutely poor population. Although data-constrained, the trial MMPI outlines a methodology and potential indicators for a measure that would: (i) be meaningful and comparable across populations at higher levels of development; (ii) align with higher standards defined in Agenda 2030; and (iii) provide insight into aspects of intrahousehold deprivation. The MMPI is illustrated empirically using nationally representative household surveys from Bangladesh, Guatemala, Iraq, Serbia, Tanzania and Thailand. The results confirm the added value of having three nested measures of destitution, acute, and moderate multidimensional poverty. The MMPI also complements monetary measures with informative differences in poverty levels observed. The results demonstrate that a Moderate MPI is a desirable global poverty index, which is likely to illuminate thus far hidden aspects in of multidimensional poverty, such as intrahousehold deprivations in education. Challenges remain regarding data availability, and further study across additional countries is required before the MMPI structure can be finalised.

Suggested Citation

  • Sabina Alkire & Fanni Kövesdi & Elina Scheja & Frank Vollmer, 2023. "Moderate Multidimensional Poverty Index: Paving the Way Out of Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 409-445, August.
  • Handle: RePEc:spr:soinre:v:168:y:2023:i:1:d:10.1007_s11205-023-03134-5
    DOI: 10.1007/s11205-023-03134-5
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    References listed on IDEAS

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    1. Sabina Alkire and Selim Jahan, 2018. "The New Global MPI 2018: Aligning with the Sustainable Development Goals," OPHI Working Papers ophiwp121.pdf, Queen Elizabeth House, University of Oxford.
    2. Martin Evans, Ricardo Nogales and Matthew Robson, 2020. "Monetary and Multidimensional Poverty: Correlations, Mismatches and Joint Distributions," OPHI Working Papers 133, Queen Elizabeth House, University of Oxford.
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    4. Sen, Amartya, 1983. "Poor, Relatively Speaking," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 153-169, July.
    5. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    6. Roberto Angulo & Yadira Díaz & Renata Pardo, 2016. "The Colombian Multidimensional Poverty Index: Measuring Poverty in a Public Policy Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(1), pages 1-38, May.
    7. Sabina Alkire & Suman Seth, 2015. "Identifying destitution through linked subsets of multidimensionally poor: An ordinal approach," WIDER Working Paper Series wp-2015-151, World Institute for Development Economic Research (UNU-WIDER).
    8. Sabina Alkire and Suman Seth, 2016. "Identifying Destitution through Linked Subsets of Multidimensionally Poor: An Ordinal Approach," OPHI Working Papers ophiwp099.pdf, Queen Elizabeth House, University of Oxford.
    9. Sabina Alkire & Usha Kanagaratnam & Ricardo Nogales & Nicolai Suppa, 2022. "Revising the Global Multidimensional Poverty Index: Empirical Insights and Robustness," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S2), pages 347-384, December.
    10. Sabina Alkire, Selim Jahan, 2018. "The New Global MPI 2018: Aligning with the Sustainable Development Goals," OPHI Working Papers 121, Queen Elizabeth House, University of Oxford.
    11. Vollmer, Frank & Alkire, Sabina, 2022. "Consolidating and improving the assets indicator in the global Multidimensional Poverty Index," World Development, Elsevier, vol. 158(C).
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    Cited by:

    1. George E. Halkos & Panagiotis-Stavros C. Aslanidis, 2023. "Causes and Measures of Poverty, Inequality, and Social Exclusion: A Review," Economies, MDPI, vol. 11(4), pages 1-25, April.
    2. George E. Halkos & Panagiotis-Stavros C. Aslanidis, 2023. "Addressing Multidimensional Energy Poverty Implications on Achieving Sustainable Development," Energies, MDPI, vol. 16(9), pages 1-30, April.

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