Multidimensional Poverty Index — Mains Strategy

Mains Strategy

Explain the index through identification and aggregation before discussing policy. A concise account of weighted deprivation, the cutoff and H times A makes clear what the measure captures. Then connect indicator-level evidence to possible service gaps while recognising that the aggregate result cannot identify every household's circumstances or establish a programme's causal effect.

Use one numerical example to distinguish incidence and intensity. The same MPI value can arise from different combinations of H and A, so the components remain useful for interpretation. Explain why equal dimension weights do not mean equal weights for all twelve indicators. This adds analytical content rather than merely listing the dimensions.

Discuss complementarity with monetary and other social evidence. A policy response should investigate the particular deprivation and its access or quality barriers. Cite the 2023 survey comparison and label the 2024 estimates accurately when relevant. Conclude with transparent methodology and targeted diagnosis, avoiding the claim that a declining aggregate index establishes the end of poverty in every dimension.