Coping with intelligence deficits in poverty-alleviation policies in low-income countries

Poverty-alleviation initiatives in lower-income countries are challenged by intelligence deficits that cause suboptimal designs that threaten their effectiveness, targeting, and sustainability. The uncertainty of theory and information, the adverse consequences of conventional family-level “means testing,” and unpredictable future events and conditions call for auto-targeting and auto-correcting policy designs with built-in adaptive capacity. Numerous categories and examples of these designs from multiple countries are presented.