Before revision:  This is a key feature since identification is generally more credible if the full vector of conditioning variables , including possible transformations, is high-dimensional .
After revision:  Conditioning on a large number of variables (including their possible transformations) generally enhances the plausibility of the unconfoundedness assumption .