Causal Inference, Instrumental Variable, Ab Testing, Encouragement Design, Average Treatment Effect.
further tighten the bounds. Using linear programming in python, new bounds have been generated under different constraints and compared with the Balke-Pearl bounds. An overview of these constraints and their impacts is laid out in table 3. Particularly useful are constraints that raise the lower