Portfolio-wide insights from rigorous impact evaluations

Using experimental and quasi-experimental tools of causal inference, we rigorously evaluate the impacts of specific investments and interventions. We generate value-for-money estimates for these investments and interventions in different locations and under different conditions.

We have particular expertise in geospatial impact evaluations (GIEs), which are often cheaper and faster than randomized control trials because they can be conducted remotely and retrospectively with existing data. They can be used to evaluate individual projects or broader project portfolios, and they open up new possibilities to evaluate long-run (post-program) impacts.

Main Page:

Geospatial Impact Evaluations (GIE)