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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Oxford University Press
2014
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| Online Access: | http://hdl.handle.net/1721.1/84064 https://orcid.org/0000-0002-8079-7675 |