Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments
Social scientists are often interested in testing multiple causal mechanisms through which a treatment affects outcomes. A predominant approach has been to use linear structural equation models and examine the statistical significance of the corresponding path coefficients. However, this approach im...
Main Authors: | Yamamoto, Teppei, Imai, Kosuke |
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Other Authors: | Massachusetts Institute of Technology. Department of Political Science |
Format: | Article |
Language: | en_US |
Published: |
Oxford University Press
2014
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Online Access: | http://hdl.handle.net/1721.1/85869 https://orcid.org/0000-0002-8079-7675 |
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