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On the support of matching algorithms

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  • Cannas, Massimo
  • Puggioni, Gavino

Abstract

In causal inference a matching algorithm assigns a subset of control units to each treated unit. Using combinatorial techniques we explore the support of matching algorithms to provide counting results and investigate the role of the dimension of the covariates’ space.

Suggested Citation

  • Cannas, Massimo & Puggioni, Gavino, 2017. "On the support of matching algorithms," Statistics & Probability Letters, Elsevier, vol. 131(C), pages 72-77.
  • Handle: RePEc:eee:stapro:v:131:y:2017:i:c:p:72-77
    DOI: 10.1016/j.spl.2017.08.009
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    References listed on IDEAS

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    1. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
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