Matching Methods in Practice: Three Examples

@article{Imbens2015MatchingMI,
  title={Matching Methods in Practice: Three Examples},
  author={Guido Imbens},
  journal={The Journal of Human Resources},
  year={2015},
  volume={50},
  pages={373 - 419}
}
  • G. Imbens
  • Published 1 March 2014
  • Economics
  • The Journal of Human Resources
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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References

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In recent years, there has been a burst of innovative work on methods for estimating causal effects using observational data. Much of this work has extended and brought a renewed focus on old…

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Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, but empirical examples can be found in…

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Large Sample Properties of Matching Estimators for Average Treatment Effects

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