We address a major discrepancy in matching methods for causal inference in observational data. Since these data are … typically plentiful, the goal of matching is to reduce bias and only secondarily to keep variance low. However, most matching … be decreasing bias.) We introduce a new class of ``Monotonic Imbalance Bounding'' (MIB) matching methods that enables one …

We introduce a new ``Monotonic Imbalance Bounding'' (MIB) class of matching methods for causal inference that satisfies … strategies to obtain specific members of the MIB class, and present a member of this class, called Coarsened Exact Matching …