Before revision:   We bound the bias of this approach under  a linear factor model  and show how regularization helps to avoid over-fitting to noise.
After revision:  This estimator can also be expressed as a solution to a modified synthetic controls problem that allows negative weights on some donor units. We bound the bias of this approach under a linear factor model and show how regularization helps to avoid over-fitting to noise.