Identification and estimation of causal effects of multiple treatments under the conditional independence assumption

  • Michael Lechner
Part of the ZEW Economic Studies book series (ZEW, volume 13)

Abstract

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 (CIA). This paper discusses identification using CIA 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 can 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.

Keywords

Treatment effects balancing score propensity score causal model programme evaluation matching 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Michael Lechner
    • 1
  1. 1.SIAWUniversity of St. GallenSwitzerland

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