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been crafted for precisely this purpose, but are typically computationally infeasible with a large number of covariates, instruments, and/or observations. Enter Deep Instrumental Variables, a frontier method developed by Jason Hartford, Greg Lewis, Kevin Leyton-Brown, and Matt Taddy (2017). Deep IV