Modeling simplifying information processing strategies in conjoint experiments
Conjoint experiments are usually based on the assumption that respondents consider all attributes varied in the experiment when providing preference evaluations or choosing between choice alternatives. Recently, some research has examined the validity of this assumption by empirically analyzing the impact of the number of attributes on estimated utilities. It suggests that respondents not only build up a mental representation of the decision problem in reality, but also when they provide value judgments in a conjoint experiment. It implies that explicit modeling of this process of mental representation and information processing may improve the validity of conjoint estimates. This paper puts forward such a modeling approach, based on principles of bounded rationality. The approach uses attribute thresholds to construct individuals' preference structures from which heterogeneous decision heuristics can be exactly inferred. Decisions are modeled as a two-layer process with an individual selecting a heuristic first and then applying the chosen heuristic for decision making. The whole process is modeled with a latent class structure and the choice of heuristic is assumed to be influenced by mental effort, risk perception, and expected outcome. An application of the approach is carried out using data about people's choice of a new transit system. The results show the ability of the proposed approach to estimate different decision heuristics and information search patterns in different stages of the decision.
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Volume (Year): 44 (2010)
Issue (Month): 6 (July)
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- David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
- Swait, Joffre & Adamowicz, Wiktor, 2001. " The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching," Journal of Consumer Research, University of Chicago Press, vol. 28(1), pages 135-48, June.
- Cantillo, Víctor & Ortúzar, Juan de Dios, 2005. "A semi-compensatory discrete choice model with explicit attribute thresholds of perception," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 641-657, August.
- Swait, Joffre, 2001. "A non-compensatory choice model incorporating attribute cutoffs," Transportation Research Part B: Methodological, Elsevier, vol. 35(10), pages 903-928, November.
- Dennis H. Gensch, 1987. "A Two-Stage Disaggregate Attribute Choice Model," Marketing Science, INFORMS, vol. 6(3), pages 223-239.
- Scott, Anthony, 2002. "Identifying and analysing dominant preferences in discrete choice experiments: An application in health care," Journal of Economic Psychology, Elsevier, vol. 23(3), pages 383-398, June.
- Peter C. Fishburn, 1974. "Exceptional Paper--Lexicographic Orders, Utilities and Decision Rules: A Survey," Management Science, INFORMS, vol. 20(11), pages 1442-1471, July.
- Green, Paul E & Srinivasan, V, 1978. " Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, University of Chicago Press, vol. 5(2), pages 103-23, Se.
- David A. Hensher, 2004. "Identifying the Influence of Stated Choice Design Dimensionality on Willingness to Pay for Travel Time Savings," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 38(3), pages 425-446, September.
- Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
- Swait, Joffre & Ben-Akiva, Moshe, 1987. "Incorporating random constraints in discrete models of choice set generation," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 91-102, April.
- Araña, Jorge E. & León, Carmelo J. & Hanemann, Michael W., 2008. "Emotions and decision rules in discrete choice experiments for valuing health care programmes for the elderly," Journal of Health Economics, Elsevier, vol. 27(3), pages 753-769, May.
- Hensher, David A. & Rose, John & Bertoia, Tony, 2007. "The implications on willingness to pay of a stochastic treatment of attribute processing in stated choice studies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(2), pages 73-89, March.
- Timothy J. Gilbride & Greg M. Allenby, 2004. "A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules," Marketing Science, INFORMS, vol. 23(3), pages 391-406, October.
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