Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
Then the method combines these two predictive models in a final stage estimation to create a model of the heterogeneous treatment effect. The approach allows for arbitrary machine learning algorithms to be used for the two predictive tasks, while maintaining many favorable statistical properties