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Stochastic Choice and Consideration Sets
Authors:Paola Manzini  Marco Mariotti
Abstract:We model a boundedly rational agent who suffers from limited attention. The agent considers each feasible alternative with a given (unobservable) probability, the attention parameter, and then chooses the alternative that maximizes a preference relation within the set of considered alternatives. We show that this random choice rule is the only one for which the impact of removing an alternative on the choice probability of any other alternative is asymmetric and menu independent. Both the preference relation and the attention parameters are identified uniquely by stochastic choice data.
Keywords:Discrete choice  random utility  logit model  Luce model  consideration sets  bounded rationality  revealed preferences
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