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Characterizing Weights in the Measurement of Multidimensional Poverty: An Application of Data-Driven Approaches to Cameroonian Data

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  • Aloysius Mom Njong, Paul Ningaye

Abstract

The study seeks to compare multidimensional poverty indices in Cameroon generated by different multivariate techniques. After carefully exploring the theoretical and empirical review of the statistical methods of setting weights in the measurement of multidimensional poverty, the study employs three different statistical or data-driven methods - principal components analysis, multiple correspondence analysis, and fuzzy set approach to set weights in the aggregation procedure. Use is made of the 2001 Cameroonian household survey data to estimate the models. The poverty distributions obtained from the three approaches are submitted to stochastic dominance tests to investigate the sensitivity of the resultant poverty index rankings to changes in the weighting characterization. It comes out of the empirical analysis that the principal components analysis index distribution unambiguous shows less poverty than the multiple correspondence analysis and fuzzy set composite indices, while comparison of the two latter index distributions shows no clear dominance.

Suggested Citation

  • Aloysius Mom Njong, Paul Ningaye, 2008. "Characterizing Weights in the Measurement of Multidimensional Poverty: An Application of Data-Driven Approaches to Cameroonian Data," OPHI Working Papers 21, Queen Elizabeth House, University of Oxford.
    • Handle: RePEc:qeh:ophiwp:ophiwp021
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    4. Roberto Dell'Anno & Adalgiso Amendola, 2015. "Social Exclusion and Economic Growth: An Empirical Investigation in European Economies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 274-301, June.
    5. Fomba Louisette Naah & Aloysius Mom Njong & Jude Ndzifon Kimengsi, 2020. "Determinants of Active and Healthy Ageing in Sub-Saharan Africa: Evidence from Cameroon," IJERPH, MDPI, vol. 17(9), pages 1-24, April.
    6. Ricard Giné‐Garriga & Agustí Pérez‐Foguet, 2019. "Monitoring and targeting the sanitation poor: A multidimensional approach," Natural Resources Forum, Blackwell Publishing, vol. 43(2), pages 82-94, May.
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    8. Jane Kabubo-Mariara & Anthony Wambugu & Susan Musau, 2011. "Multidimensional Poverty in Kenya: Analysis of Maternal and Child Wellbeing," Working Papers PMMA 2011-12, PEP-PMMA.
    9. Ana María Osorio & Catalina Bolancé & Manuela Alcañiz, 2011. "Measuring early childhood health: a composite index comparing Colombian departments," IREA Working Papers 201122, University of Barcelona, Research Institute of Applied Economics, revised Oct 2011.
    10. Ricard Giné-Garriga and Agustí Pérez-Foguet, 2018. "Measuring Sanitation Poverty: A Multidimensional Measure to Assess Delivery of Sanitation and Hygiene Services at the Household Level," OPHI Working Papers ophiwp116.pdf, Queen Elizabeth House, University of Oxford.
    11. Sabina Alkire & Yingfeng Fang, 2019. "Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 25-64, February.
    12. Lungile Ntsalaze & Sylvanus Ikhide, 2018. "Rethinking Dimensions: The South African Multidimensional Poverty Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 195-213, January.
    13. Pasha, Atika, 2017. "Regional Perspectives on the Multidimensional Poverty Index," World Development, Elsevier, vol. 94(C), pages 268-285.
    14. Fu Wang & Hong Geng & Donglan Zha & Chaoqun Zhang, 2023. "Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 45-78, August.
    15. Shrabanti Maity, 2018. "Multidimensional Poverty Status of Bodo Tribes of Udalguri District, Bodoland, Assam," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 43(1), pages 29-47, March.

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