In political environments with limited data, how can we ensure that aid has impact?

Development aid by its very nature is provided in messy environments, is often very political and has inherent negative incentives. In such situations, often exacerbated by limited data and imminent deadlines, can we improve how we provide aid? In this interview, Stefan Dercon, discusses the various aspects of aid effectives; the importance of cost-benefit analyses, feedback loops, prioritising the engines of inclusive growth, theories of change, and planning for humanitarian aid.

Aid Incentives Development Poverty Humanitarian DFID Fragile Data