Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments

Survey experiments are a core tool for causal inference. Yet, the design of classical survey experiments prevents them from identifying which components of a multidimensional treatment are influential. Here, we show how conjoint analysis, an experimental design yet to be widely applied in political...

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Bibliographic Details
Main Authors: Hainmueller, Jens (Contributor), Yamamoto, Teppei (Contributor), Hopkins, Daniel J. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Political Science (Contributor)
Format: Article
Language:English
Published: Oxford University Press, 2014-01-17T16:45:21Z.
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