A correction to this paper has been published: https://doi.org/10.1007/s11162-021-09646-8

We discuss a method for improving causal inferences called ‘‘Coarsened Exact Matching’’ (CEM), and the new ‘‘Monotonic Imbalance Bounding’’ (MIB) class of matching methods from which CEM is derived. We summarize what is known about CEM and MIB, derive and illustrate several new desirable statistical properties of CEM, and then propose a variety of useful extensions. We show that CEM possesses a...

Most studies that explore collective models of intra-household decision-making use economic outcomes such as human capital, earnings, assets, and relative income shares proxies the distribution bargaining power. These studies, however, fail to incorporate important measures control over management resources within households. In current study, a direct measure financial power household is used ...

We propose a novel framework for matching estimators for causal e↵ect from observational data that is based on minimizing the dual norm of estimation error when expressed as an operator. We show that many popular matching estimators can be expressed as optimal in this framework, including nearestneighbor matching, coarsened exact matching, and mean-matched sampling. This reveals their motivatio...