# Matching Methods in Practice: Three Examples

@article{Imbens2014MatchingMI, title={Matching Methods in Practice: Three Examples}, author={Guido Imbens}, journal={The Journal of Human Resources}, year={2014}, volume={50}, pages={373 - 419} }

There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical practice where many researchers continue to use simple methods such as ordinary least squares regression even in settings where those methods do not have attractive properties. In this paper, I discuss some of…

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