Near/far matching: a study design approach to instrumental variables

@article{Baiocchi2012NearfarMA,
  title={Near/far matching: a study design approach to instrumental variables},
  author={Mike Baiocchi and Dylan S. Small and Lin Yang and Daniel Polsky and Peter W Groeneveld},
  journal={Health Services and Outcomes Research Methodology},
  year={2012},
  volume={12},
  pages={237-253}
}
Classic instrumental variable techniques involve the use of structural equation modeling or other forms of parameterized modeling. In this paper we use a nonparametric, matching-based instrumental variable methodology that is based on a study design approach. Similar to propensity score matching, though unlike classic instrumental variable approaches, near/far matching is capable of estimating causal effects when the outcome is not continuous. Unlike propensity score matching, though similar to… CONTINUE READING
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