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...

Full description

Bibliographic Details
Main Authors: Yamamoto, Teppei, Imai, Kosuke
Other Authors: Massachusetts Institute of Technology. Department of Political Science
Format: Article
Language:en_US
Published: Oxford University Press 2014
Online Access:http://hdl.handle.net/1721.1/85869
https://orcid.org/0000-0002-8079-7675