Bounding treatment effects by pooling limited information across observations

@inproceedings{Lee2021BoundingTE,
  title={Bounding treatment effects by pooling limited information across observations},
  author={Sokbae (Simon) Lee and Martin P. Weidner},
  year={2021}
}
We provide novel bounds on average treatment effects (on the treated) that are valid under an unconfoundedness assumption. Our bounds are designed to be robust in challenging situations, for example, when the conditioning variables take on a large number of different values in the observed sample, or when the overlap condition is violated. This robustness is achieved by only using limited “pooling” of information across observations. Namely, the bounds are constructed as sample averages over… 

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