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Beyond conjoint analysis: Advances in preference measurement

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Abstract

We identify gaps and propose several directions for future research in preference measurement. We structure our argument around a framework that views preference measurement as comprising three interrelated components: (1) the problem that the study is ultimately intended to address; (2) the design of the preference measurement task and the data collection approach; (3) the specification and estimation of a preference model, and the conversion into action. Conjoint analysis is only one special case within this framework. We summarize cutting edge research and identify fruitful directions for future investigations pertaining to the framework’s three components and to their integration.

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Notes

  1. We refer the reader to the previous Choice Symposium papers by Ben-Akiva et al. (1994) and Louviere et al. (1999) for a summary of the benefits and difficulties of combining stated and revealed preference data.

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Acknowledgments

The authors would like to thank the SEI Center for Advanced Studies in Management at Wharton for partially supporting this research and for supporting the 7th Triennial Choice Conference held at the Wharton School. The first two authors (session co-chairs) and the third to the 12th authors are listed alphabetically.

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Netzer, O., Toubia, O., Bradlow, E.T. et al. Beyond conjoint analysis: Advances in preference measurement. Mark Lett 19, 337–354 (2008). https://doi.org/10.1007/s11002-008-9046-1

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