Conducts causal inference with interactive fixed-effect models. It
imputes counterfactuals for each treated unit using control group
information based on a linear interactive fixed effects model that
incorporates unit-specific intercepts interacted with time-varying
coefficients. This method generalizes the synthetic control method to the
case of multiple treated units and variable treatment periods, and improves
efficiency and interpretability. See Xu (2017)