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HomeNewsOpinionNeeded: Granular, high frequency data to fight multi-dimensional poverty

Needed: Granular, high frequency data to fight multi-dimensional poverty

Subir Roy   •

One problem with the latest estimate, admitted by Niti Aayog itself, is the impact of the COVID epidemic and its effect on data collection

The study uses a multidimensional poverty index (MPI) which consists of 12 indicators of poverty clubbed under three groups – health, education, and standard of living

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