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  "Description": "Estimation and inference methods for bounding average\ntreatment effects (on the treated) that are valid under an\nunconfoundedness assumption. The bounds are designed to be\nrobust in challenging situations, for example, when the\nconditioning variables take on a large number of different\nvalues in the observed sample, or when the overlap condition is\nviolated. This robustness is achieved by only using limited\n\"pooling\" of information across observations. For more details,\nsee the paper by Lee and Weidner, \"Bounding Treatment Effects\nby Pooling Limited Information across Observations,\"\nforthcoming at the Journal of Econometrics,\n<doi:10.48550/arXiv.2111.05243>.",
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  "Date/Publication": "2026-05-07 20:54:40 UTC",
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