Chloé Bonardi

(BxSE)

Comparing Targeting Approaches for Monetary, Health, and Nutritional Deprivation in Burkina Faso.

Poverty is multidimensional, requiring targeting methods that go beyond monetary measures. This study examines the performance of different targeting approaches in identifying indigent households in rural Burkina Faso across monetary, health, and nutritional dimensions. The results show that the Proxy Means Test (PMT) performs best when welfare is measured by consumption, while Community-Based Targeting (CBT) is more effective for health and nutritional deprivation, although targeting errors remain high. Building on these findings, we investigate why the PMT performs poorly in non-monetary dimensions, assessing whether this is driven by variable weights, the need for additional variables, or model specification.

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