On the support of matching algorithms

Authors

Massimo Cannas, Università degli Studi di Cagliari
Gavino Puggioni, University of Rhode Island

Document Type

Article

Date of Original Version

12-1-2017

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.

Publication Title, e.g., Journal

Statistics and Probability Letters

Volume

131

Citation/Publisher Attribution

Cannas, Massimo, and Gavino Puggioni. "On the support of matching algorithms." Statistics and Probability Letters 131, (2017): 72-77. doi: 10.1016/j.spl.2017.08.009.