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Weighting the Dimensions of the Multidimensional Poverty Index: Findings from Sri Lanka

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  • N. P. Ravindra Deyshappriya

    (Uva Wellassa University of Sri Lanka, RMIT University)

  • Simon Feeny

    (RMIT University)

Abstract

The Oxford Poverty and Human Development Initiative’s Multidimensional Poverty Index has become a widely adopted measure of wellbeing. However, it is criticised for applying equal weights to its three dimensions: health; education; and living standards. There is no a priori reason to expect that all three dimensions equally contribute to wellbeing. This article reports on a Discrete Choice Experiment that involved a sample of 670 Sri Lankans who selected their preferences for the weights. The findings suggest that health is the most important dimension and should receive a weight of 0.38. In comparison, education has a weight of 0.33 and living standards a weight of 0.29. Cluster analysis reveals that location, age, education level and number of dependents are important in explaining differences in weight preferences. Finally, the paper demonstrates that poverty rankings of districts and provinces differ across the different approaches to weighting the index dimensions.

Suggested Citation

  • N. P. Ravindra Deyshappriya & Simon Feeny, 2021. "Weighting the Dimensions of the Multidimensional Poverty Index: Findings from Sri Lanka," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 1-19, July.
  • Handle: RePEc:spr:soinre:v:156:y:2021:i:1:d:10.1007_s11205-021-02656-0
    DOI: 10.1007/s11205-021-02656-0
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    1. Mathias KUEPIE & Eric Patrick FEUBI PAMEN, 2017. "An Application of the Alkire-Foster’s Multidimensional Poverty Index to Data from Madagascar: Taking Into Account the Dimensions of Employment and Gender Inequality," Working Paper 6ca04615-044d-41a0-8737-9, Agence française de développement.
    2. Kabubo-Mariara, Jane & Wambugu, Anthony & Musau, Susan, 2011. "Multidimensional poverty in Kenya: Analysis of maternal and child wellbeing," PEP Policy Briefs 164626, Partnership for Economic Policy (PEP).
    3. K.I H. Sanjeewanie & Nilakshi De Silva & Shivapragasam Shivakumaran, 2012. "Multi-Dimensional Poverty Among Samurdhi Welfare Recipients In Badulla District, Sri Lanka," Working Papers PMMA 2012-03, PEP-PMMA.
    4. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    5. Ravallion, Martin, 2012. "Troubling tradeoffs in the Human Development Index," Journal of Development Economics, Elsevier, vol. 99(2), pages 201-209.
    6. Diaz, Yadira & Angulo, Roberto & Pardo, Renata, 2013. "Multidimensional poverty in Colombia, 1997-2010," ISER Working Paper Series 2013-03, Institute for Social and Economic Research.
    7. repec:oup:wbrobs:v:27:y:2011:i:1:p:1-32 is not listed on IDEAS
    8. Jean-Yves Duclos & David Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Spatial Poverty Comparisons in Ghana, Madagascar, and Uganda," The World Bank Economic Review, World Bank, vol. 20(1), pages 91-113.
    9. 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.
    10. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    11. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
    12. Jean-Yves Duclos & David E. Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons," Economic Journal, Royal Economic Society, vol. 116(514), pages 943-968, October.
    13. Satya Chakravarty & Ravi Kanbur & Diganta Mukherjee, 2006. "Population growth and poverty measurement," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 26(3), pages 471-483, June.
    14. Jean-Yves Duclos & David Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons with Discrete Indicators of Well-being," Cahiers de recherche 0628, CIRPEE.
    15. Simon Feeny & Paul Hansen & Stephen Knowles & Mark McGillivray & Franz Ombler, 2019. "Donor motives, public preferences and the allocation of UK foreign aid: a discrete choice experiment approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 155(3), pages 511-537, August.
    16. 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.
    17. Maria Emma Santos & Pablo Villatoro, 2018. "A Multidimensional Poverty Index for Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(1), pages 52-82, March.
    18. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 51-65, April.
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    Cited by:

    1. Tizifa, Tapiwa & Maharjan, Keshav Lall, 2021. "Multidimensional Poverty in Rural and Urban Malawi: A Comparative Analysis of Nsanje District and Lilongwe City," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329416, Asian Society of Agricultural Economists (ASAE).
    2. Tomson Ogwang, 2022. "The regression approach to the measurement and decomposition of the multidimensional Watts poverty index," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 951-973, December.
    3. Christina Francis & Paul Hansen & Bjarnhéðinn Guðlaugsson & David M. Ingram & R. Camilla Thomson, 2022. "Weighting Key Performance Indicators of Smart Local Energy Systems: A Discrete Choice Experiment," Energies, MDPI, vol. 15(24), pages 1-17, December.
    4. DA COSTA Shaun Mark, 2025. "Composite indices and preference-based measures of wellbeing," JRC Research Reports JRC141107, Joint Research Centre.

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    More about this item

    Keywords

    Multidimensional Poverty Index; Sri Lanka; Discrete Choice Experiment; Cluster Analysis;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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