Estimating Treatment Effects via Multilevel Matching within Homogenous Groups of Clusters / Peter M. Steiner and Jee-Seon Kim.

Despite the popularity of propensity score (PS) techniques they are not yet well studied for matching multilevel data where selection into treatment takes place among level-one units within clusters. This paper suggests a PS matching strategy that tries to avoid the disadvantages of within- and acro...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Steiner, Peter M., Kim, Jee-Seon (Author)
Corporate Author:	Society for Research on Educational Effectiveness
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2015.
Subjects:	Computation. Outcomes of Treatment. Multivariate Analysis. Probability. Cluster Grouping. Selection. Simulation.