MPI, or Making Poverty Intricate
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"The MPI also reflects the intensity of poverty -- the sum of weighted deprivations that each household faces at the same time. A person who is deprived in 70% of the indicators is clearly worse off than someone who is deprived in 40% of the indicators."
This isn't just about variables, but also about normalization, weights and aggregate. I fear the average "policy-maker" will simply be lost. Using MPI, we have been told poverty in India is concentrated in Bihar, Chhattisgarh, Jharkhand, MP, Orissa, Rajasthan, UP and West Bengal. At the risk of being deliberately unfair to MPI, did we need MPI to tell us that?