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A Satisficing Choice Model
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DOI：10.1287/mksc.1120.0732.png)
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Abstract
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Although the assumption of utility-maximizing consumers has been challenged for decades, empirical applications of alternative choice rules are still very new. We add to this growing body of literature by proposing a model based on the idea of a satisficing decision maker. In contrast to previous models (including recent models implementing alternative choice rules), satisficing depends on the order in which alternatives are evaluated. We therefore conduct a visual conjoint experiment to collect search and choice data. We model search and product evaluation jointly and allow for interdependence between them. The choice rule incorporates a conjunctive rule for the evaluations and, contrary to most previous models, does not rely on compensatory trade-offs at all. The results strongly support the proposed model. For instance, we find that search is indeed influenced by product evaluations. More importantly, the model results strongly support the satisficing stopping rule. Finally, we perform a holdout prediction task and find that the proposed model outperforms a standard multinomial logit model.
Keywords:
noncompensatory choice
eye tracking
visual conjoint experiment
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