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In causal inference, augmented synthetic control method refers to a synthetic control variant that corrects remaining pre-treatment imbalance with an outcome model, extending the method when exact fit is not possible. This meaning comes from Ben-Michael (2021) in Journal of the American Statistical Association.[1]
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