Identification and Estimation of Causal Effects of Multiple Treatments under the Conditional Independence Assumption
Series
ZEW economic studies
ISBN
3-7908-1372-9
Type
book section
Date Issued
2001
Author(s)
Editor(s)
Pfeiffer, F.
Abstract
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)
Language
English
Keywords
balancing score
HSG Classification
contribution to scientific community
Refereed
No
Book title
Econometric Evaluation of Labour Market Policies
Publisher
Physica-Verlag
Publisher place
Heidelberg
Number
13
Start page
43
End page
58
Pages
16
Subject(s)
Eprints ID
15408
File(s)![Thumbnail Image]()
open.access
Name
Identification_and_Estimation_of_Causal_Effects_of_Multiple_Treatments_Under_the_Conditional_Independence_Assumption.pdf
Size
100.46 KB
Format
Adobe PDF
Checksum (MD5)
a3a994d212483bc2d183245ca8ea8ed6