Causal Machine Learning for Cost-Effective Allocation of Development Aid
Causal Machine Learning for Cost-Effective Allocation of Development Aid
The Sustainable Development Goals (SDGs) of the United Nations provide a blueprint of a better future by "leaving no one behind", and, to achieve the SDGs by 2030, poor countries require immense volumes of development aid. In this paper, we develop a causal machine learning framework for predicting heterogeneous treatment …