Propensity score matching for multiple treatment levels: A CODA-based contribution

Hajime Seya and Takahiro Yoshida

Papers from arXiv.org

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).

Date: 2017-10
New Economics Papers: this item is included in nep-ecm
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