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Estimates of multidimensional poverty for India using NSSO-71 and -75

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  • Venugopal Mothkoor
  • Nina Badgaiyan

Abstract

We measure multidimensional poverty in India using National Sample Survey Organization data from 2014-15 to 2017-18. We use income, health, education, and standard of living to measure the multidimensional poverty index (MPI). The MPI headcount declined from 26.9 to 13.75 per cent over the study period. The all-India estimates indicate that 144 million people were lifted from poverty during this period. We include different health dimensions, factoring in insurance, institutional coverage, antenatal care, and chronic conditions.

Suggested Citation

  • Venugopal Mothkoor & Nina Badgaiyan, 2021. "Estimates of multidimensional poverty for India using NSSO-71 and -75," WIDER Working Paper Series wp-2021-1, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2021-1
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    1. Srinivas Goli & Nagendra Kumar Maurya & Moradhvaj & Prem Bhandari, 2019. "Regional Differentials in Multidimensional Poverty in Nepal: Rethinking Dimensions and Method of Computation," SAGE Open, , vol. 9(1), pages 21582440198, March.
    2. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    3. Dehury, Bidyadhar & Mohanty, Sanjay K., 2015. "Regional estimates of multidimensional poverty in India," Economics Discussion Papers 2015-34, Kiel Institute for the World Economy (IfW Kiel).
    4. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    5. Dehury, Bidyadhar & Mohanty, Sanjay K., 2015. "Regional estimates of multidimensional poverty in India," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-35.
    6. Sabyasachi Tripathi & Komali Yenneti, 2020. "Measurement of Multidimensional Poverty in India: A State-level Analysis," Indian Journal of Human Development, , vol. 14(2), pages 257-274, August.
    7. Ravallion, Martin, 2010. "Poverty lines across the world," Policy Research Working Paper Series 5284, The World Bank.
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    1. Ndubano Mafale & Dismas Ntirampeba & Jacob Ong’ala, 2021. "Multidimensional Poverty Modeling for Namibia Using the Beta Distribution," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(6), pages 1-47, December.

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    Keywords

    Multidimensional poverty index; Income; Poverty; India; Deprivation; Rural; Urban; COVID-19;
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