Propensity score matching for multiple treatment levels: A CODA-based contribution
Econometrics
2017-10-25 v1
Abstract
This study proposes a simple technique for propensity score matching for multiple treatment levels under the strong unconfoundedness assumption with the help of the Aitchison distance proposed in the field of compositional data analysis (CODA).
Cite
@article{arxiv.1710.08558,
title = {Propensity score matching for multiple treatment levels: A CODA-based contribution},
author = {Hajime Seya and Takahiro Yoshida},
journal= {arXiv preprint arXiv:1710.08558},
year = {2017}
}