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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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    References listed on IDEAS

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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. 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.
    3. 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.

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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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