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Welfare Comparisons with Multidimensional Well-Being Indicators: An Indian Illustration

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  • Udaya S. Mishra

    (Centre for Development Studies)

  • Vachaspati Shukla

    (Centre for Development Studies)

Abstract

Problem of making welfare comparisons between populations with multidimensional discrete well-being indicators are well known. Application of a weighting scheme remains a convenient alternative for aggregating across dimensions but not without the limitation of subjectivity in the principle of weighting. Further dichotomous well-being indicators pose another complexity in comparison as regard counting ‘how many’ and ‘which ones’ at the same time. This paper attempts a welfare comparison of population where only ordinal information is available at the micro level in terms of multi-dimensional discrete well-being indicators. This does not involve any assumption either regarding strength of preference for each dimension or regarding the desirability of changes between levels within or across dimensions or the complementarities/substitutability between the dimensions. To carry out such a comparison, we adopt the concept of multidimensional first order dominance that enables us to make comparison across time and between populations based on a series of binary ordinal welfare indicators. This concept is applied to the data on Household basic amenities obtained in the National Sample Survey rounds and comparison is made across Indian states. Such a comparison offers a contrast to the welfare comparison made in terms of the deprivation prevalence across dimensions as well as its temporal changes.

Suggested Citation

  • Udaya S. Mishra & Vachaspati Shukla, 2016. "Welfare Comparisons with Multidimensional Well-Being Indicators: An Indian Illustration," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 505-525, November.
    • Handle: RePEc:spr:soinre:v:129:y:2016:i:2:d:10.1007_s11205-015-1117-0
    DOI: 10.1007/s11205-015-1117-0
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    2. Marco Fattore & Alberto Arcagni, 2019. "F-FOD: Fuzzy First Order Dominance Analysis and Populations Ranking Over Ordinal Multi-Indicator Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 1-29, July.
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    4. Hummera Saleem & Malik Shahzad Shabbir & Bilal Khan, 2021. "Re-examining Multidimensional Poverty in Pakistan: A New Assessment of Regional Variations," Global Business Review, International Management Institute, vol. 22(6), pages 1441-1458, December.

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