Under What Assumptions Do Site-by-Treatment Instruments Identify Average Causal Effects? /

Under What Assumptions Do Site-by-Treatment Instruments Identify Average Causal Effects? / Sean F. Reardon and Stephen W. Raudenbush.

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The increasing availability of data from multi-site randomized trials provides a potential opportunity to use instrumental variables methods to study the effects of multiple hypothesized mediators of the effect of a treatment. We derive nine assumptions needed to identify the effects of multiple med...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Authors: Reardon, Sean F., Raudenbush, Stephen W. (Author)
Format: eBook
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 2013.
Subjects:
Causal Models.
Measures (Individuals)
Research Design.
Context Effect.
Compliance (Psychology)
Computation.
Randomized Controlled Trials.
Statistical Bias.
Identification.

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