Neural method learns low-dimensional latent representations and propensity scores for individual-level matching to estimate counterfactuals and ATT under hidden confounding in staggered time series.
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Balanced Twins: Causal Inference on Time Series with Hidden Confounding
Neural method learns low-dimensional latent representations and propensity scores for individual-level matching to estimate counterfactuals and ATT under hidden confounding in staggered time series.