What You Don’t Know Might Hurt You: Some Unresolved Issues in the Design and Analysis of Discrete Choice Experiments
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The papers and comments in this issue focus on four broad areas related to understanding and modeling choices: (1) The use of laboratory experiments to improve valuation methods; (2) The design of stated preference choice set and choice occasions; (3) Latent class models as means of identifying and accommodating preference heterogeneity; and (4) Accommodating uncertainty about the “true” model, modeling ranking and rating tasks and pooling data sources. In what follows I offer some comments on each area, and briefly discuss several unresolved issues associated with each area, closing with some comments about future research opportunities.
Keywordsdiscrete choice experiments choice models unobserved variability
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- David F. Layton and S. Todd Lee (2006). “Embracing Model Uncertainty: Strategies for Response Pooling and Model Averaging.” This volumeGoogle Scholar
- Devinney, T. M., J. J. Louviere and T. Coltman (2005), ‘Utilizing Rich Multimedia Methods for the Elicitation of Preferences for Radical Future Technologies’, /EMAC/ANZMAC/ /Joint Conference/, Milan, MayGoogle Scholar
- Devinney, T. M., J. J. Louviere and T. Coltman (2004a), ‘Utilizing Rich Multimedia Methods for the Elicitation of Preferences for Radical Future Technologies’, /ESOMAR Conference in Marketing: Where Science Meets Practice, Oct, Warsaw, http://www.esomar.org/main.php?a=3&p=1161, pp. 271–288Google Scholar
- Devinney, T. M., J. J. Louviere and T. Coltman (2004b), ‘Decision States and Information Acceleration’, ANZMAC Conference, Wellington, DecGoogle Scholar
- Finn, A., Louviere, J. J. 1992‘Determining the Appropriate Response to Evidence of Public Concern: The Case of Food Safety’Journal of Public Policy and Marketing111225Google Scholar
- Louviere, J. J., Carson, R. T., Ainslie, A., Cameron, T. A., DeShazo, J. R., Hensher, D., Kohn, R., Marley, T., Street, D. 2002‘Dissecting the Random Component of Utility’Marketing Letters (Special Issue on the UC Berkeley Invitational Choice Symposium)13177193Google Scholar
- Louviere, J. J. (2004a), ‘Random Utility Theory-Based Stated Preference Elicitation Methods: Applications In Health Economics With Special Reference To Combining Sources of Preference Data’, CenSoC Working Paper No. 04-001, http://www.business.uts.edu.au/censoc/papers/index.html
- Louviere, J. J. (2004b), ‘Complex Statistical Choice Models: Are the Assumptions True, and If Not, What Are the Consequences?’, CenSoC Working Paper No. 04-002, http://www.business.uts.edu.au/censoc/papers/index.html
- Louviere, J. J., L. Burgess, D. Street and A. A. J. Marley (2004), ‘Modeling the Choice of Single Individuals by Combining Efficient Choice Exeriment Designs with Extra Preference Information’, CenSoC Working Paper No. 04-005, http://www.business.uts.edu.au/censoc/papers/index.html
- Marley, A. A. J. and J. J. Louviere (2005), ‘Some Probabilistic Models of Best, Worst, and Best-Worst Choices’, Journal of Mathematical Psychology, forthcomingGoogle Scholar
- Street D., L. Burgess and J. J. Louviere (2005), ‘Quick and Easy Choice Sets: Constructing Optimal and Nearly Optimal Stated Choice Experiments’, International Journal of Research in Marketing, forthcomingGoogle Scholar