Double Machine Learning with High-dimensional Interactive Fixed Effects
The method combines projection-based defactorisation of the data, in the spirit of Common Correlated Effects, with a Neyman-orthogonal score function and cross-fitting procedure, and accommodates low-rank factor structures in outcomes and treatments alongside high-dimensional, potentially nonlinear covariate effects es...