A Unified Approach to Conjoint Analysis Models

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Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution (2021, unknown): “Although it has been extensively used in marketing research (e.g., Green, Krieger, and Wind, 2001; Marshall and Bradlow, 2002), conjoint analysis has quickly gained popularity in political science due to its wide applicability and relative simplicity (Hainmueller, Hopkins, and Yamamoto, 2014).”
Deriving the Pricing Power of Product Features by Mining Consumer Reviews (2011, background): “3 brieﬂy discusses existing approaches for identifying consumer opinions from product reviews.”
Causal Interaction in Factorial Experiments: Application to Conjoint Analysis (2018, methodology): “In terms of its application, it has been widely used by marketing researchers over the last 40 years to measure consumer preferences and predict product sales (Green and Rao 1971; Green, Krieger, and Wind 2001; Marshall and Bradlow 2002).”
Beyond conjoint analysis: Advances in preference measurement (2008, methodology): “However, this approach carries several limitations (Green and Srinivasan 1990), which have been partially overcome by hybrid estimation methods that combine self-explicated data with preference data from full or partial profile tasks (Green et al. 1981; Johnson 1987; Marshall and Bradlow 2002; Ter H”