Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments

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...

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Bibliografiske detaljer
Main Authors:	Yamamoto, Teppei, Imai, Kosuke
Andre forfattere:	Massachusetts Institute of Technology. Department of Political Science
Format:	Article
Sprog:	en_US
Udgivet:	Oxford University Press 2014
Online adgang:	http://hdl.handle.net/1721.1/85869 https://orcid.org/0000-0002-8079-7675

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