Before revision: This paper studies inference on treatment effects in aggregate panel data settings with a single treated unit and many control units. We propose new methods for making inference on average treatment effects in settings where both the number of pre-treatment and the number of post-treatment periods are large.
After revision: This paper proposes a practical and robust method for making inference on average treatment effects in settings where both the number of pre-treatment and the number of post-treatment periods are large.