| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5129669 | Statistics & Probability Letters | 2017 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Massimo Cannas, Gavino Puggioni,