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Identification and Estimation of Causal Effects of Multiple Treatments under the Conditional Independence Assumption

Not available in German. 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 similar to the case of only two types of treatments extensions of the classical balancing score properties involving now multivariate balancing scores can be used for identification. Therefore, a similar reduction of dimension is achieved and the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that framework. frühere Version: Lechner, Michael (1999), Identification and Estimation of Causal Effects of Multiple Treatments under the Conditional Independence Assumption, discussion paper 9908, Volkswirtschaftliche Abteilung, Universität St. Gallen. paper is not downloadable at the moment (under revision)
   
type book chapter (English)
   
keywords balancing score
   
book title Econometric Evaluation of Labour Market Policies
editor F. Pfeiffer, Michael Lechner
date of appearance 2001
publisher Physica-Verlag (Heidelberg)
series title ZEW economic studies (13)
ISBN 3-7908-1372-9
page(s) 43-58
citation Lechner, M. (2001). Identification and Estimation of Causal Effects of Multiple Treatments under the Conditional Independence Assumption. In Pfeiffer, F., & Lechner, M. (Eds.), Econometric Evaluation of Labour Market Policies (pp. 43-58). Heidelberg: Physica-Verlag. - ISBN 3-7908-1372-9.