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Identification and Robust Inference for Multiple Treatments with Possibly Invalid Instruments
The instrumental variable (IV) method is widely used to infer causal effects in observational studies with unmeasured confounding, but invalid instruments can compromise both population identification and finite-sample inference. This paper studies linear IV models with multiple endogenous treatment
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