TY  - RPRT
        AU  - Lechner, Michael
        TI  - Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption
        PY  - 1999/Dec/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 91
        UR  - https://www.iza.org/publications/dp91
        AB  - The assumption that the assignment to treatments is ignorable conditional on attributes plays an important role in the applied statistic and econometric evaluation literature. Another term for it is conditional independence assumption. This paper discusses identification when there are more than two types of mutually exclusive treatments. It turns out that low dimensional balancing scores, similar to the ones valid in the case of only two treatments, exist and be used for identification of various causal effects. Therefore, a comparable reduction of the dimension of the estimation problem is achieved and the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that framework.
        KW  - causal model
KW  - propensity score
KW  - balancing score
KW  - Treatment effects
KW  - program evaluation
KW  - matching
        ER  -