Matching methods for causal inference: Designing observational studies

@inproceedings{Stuart2007MatchingMF,
  title={Matching methods for causal inference: Designing observational studies},
  author={Elizabeth A. Stuart and Donald B. Rubin},
  year={2007}
}
Much research in the social sciences attempts to estimate the effect of some intervention or “treatment” such as a school dropout prevention program or television watching. However, particularly in the social sciences, it is generally not possible to randomly assign units to receive the treatment condition or the control condition, and thus the resulting data are observational, where we simply observe that some units received the treatment and others did not. In such cases, there is a need to… CONTINUE READING

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References

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SHOWING 1-10 OF 79 REFERENCES

Nonparametric estimation of average treatment effects under exogeneity: a review

  • G. W. Imbens
  • Review of Economics and Statistics 86, 1, 4–29.
  • 2004
Highly Influential
5 Excerpts

Matching to remove bias in observational studies

  • D. B. York. Rubin
  • Biometrics 29, 159–184. Rubin, D. B. (1973b). The…
  • 1973
Highly Influential
14 Excerpts

Causal effects in nonexperimental studies: Re-evaluating

  • R. H. 355–364. Dehejia, S. Wahba
  • 1999
Highly Influential
15 Excerpts

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