Stochastic choice and consideration sets

Paola Manzini, Marco Mariotti

    Research output: Working paper

    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 maximises 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.
    Original languageEnglish
    PublisherUniversity of St Andrews
    Number of pages34
    Publication statusPublished - Mar 2013

    Publication series

    NameSchool of Economics & Finance Discussion Paper
    PublisherUniversity of St Andrews
    No.1303
    ISSN (Print)0962-4031
    ISSN (Electronic)2055-303X

    Keywords

    • Discrete choice
    • Random utility
    • Logit model
    • Luce model
    • Consideration sets
    • Bounded rationality
    • Revealed preferences

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