RNN-based counterfactual prediction, with an application to homestead policy and public schooling

Jason Poulos, Shuxi Zeng

This paper proposes a method for estimating the effect of a policy intervention on an outcome over time. We train recurrent neural networks (RNNs) on the history of control unit ou…