Before revision:  Under our identifying assumptions the estimation problem is `well-posed' . We describe the estimator and derive convergence rates. When applied in panel settings our methods provide a novel approach to  identification with non-separable general heterogeneity and a fixed time dimension.
After revision:  Under our identifying assumptions the estimation problem is `well-posed' nonparametric estimator and we analyze its asymptotic properties. In panel settings, our methods provide a novel approach to identification with non-separable general heterogeneity and a fixed time dimension.