Using rich geospatial data and causal machine learning (ML), this paper maps potential economic benefits from incremental investments in all major types of public and economic infrastructure across Africa. These 'infrastructure potential maps' cover all African populated areas at a spatial...

This paper characterizes economically optimal investments into Africa's road network in partial and general equilibrium - based on a detailed topography of the network, road construction costs, frictions in cross-border trading, and economic geography. Drawing from data on 144 million...

Using rich geospatial data analyzed with 'causal' and explainable machine learning methods, this paper studies Africa’s spatial economy and maps potential benefits from public infrastructure investments. Results imply that infrastructure in Africa is spatially concentrated and often...