Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
unconfoundedness holds, instrumental variable estimators will be less efficient. In the complex environment of the real world, the unconfoundedness assumption can rarely be satisfied. Unobserved confoundedness is a critical challenge of causal inference. Whenever instruments exist, it is better to