On the support of matching algorithms

Massimo Cannas and Gavino Puggioni

Statistics & Probability Letters, 2017, vol. 131, issue C, 72-77

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.

Keywords: Causal inference; Quasi experimental design; Enumerative combinatorics; Rook polynomials; Radius matching (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1016/j.spl.2017.08.009

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