The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation

@article{Imai2009TheER,
  title={The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation},
  author={K. Imai and G. King and Clayton Nall},
  journal={Statistical Science},
  year={2009},
  volume={24},
  pages={29-53}
}
A basic feature of many field experiments is that investigators are only able to randomize clusters of individuals — such as households, communities, firms, medical practices, schools, or classrooms — even when the individual is the unit of interest. To recoup some of the resulting eciency loss, many studies pair similar clusters and randomize treatment within pairs. Other studies (including almost all published political science field experiments) avoid pairing, in part because some prominent… Expand

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