Before revision:  Unlike SCM, the proposed method does not rely on pre-intervention covariates, allows for nonconvex combinations of control units, and can handle multiple treated units . In empirical and simulated data applications, RNN-based models outperform SCM in terms of predictive accuracy while using much less information to produce counterfactual predictions .
After revision:  Unlike SCM, the proposed method does not rely on pre-intervention covariates, allows for nonconvex combinations of control units, and can handle multiple treated units , and can share model parameters across time-steps. RNNs outperform SCM in terms of predictive accuracy while using much less information to produce counterfactual predictions .