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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.

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  • 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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    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.
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    Cited by:

    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.
    2. Gupta, Pallavi, 2023. "Geospatial Multidimensional Poverty Gap in India: A rural and urban decomposition analysis," MPRA Paper 120408, University Library of Munich, Germany, revised 02 Dec 2023.

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    Keywords

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