Inferring cognitive heterogeneity from aggregate choices

Valentino Dardanoni, Paola Manzini, Marco Mariotti*, Christopher J. Tyson

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)


    Theories of bounded rationality often assume a rich dataset of choices from many overlapping menus, limiting their practical applicability. In contrast, we study the problem of identifying the distribution of cognitive characteristics in a population of agents from a minimal dataset that consists of aggregate choice shares from a single menu, and includes no observable covariates of any kind. With homogeneous preferences, we find that “consideration capacity” and “consideration probability” distributions can both be recovered effectively if the menu is sufficiently large. This remains true generically when tastes are heterogeneous with a known distribution. When the taste distribution is unknown, we show that joint choice share data from three “occasions” are generically sufficient for full identification of the cognitive distribution, and also provide substantial information about tastes.

    Original languageEnglish
    Pages (from-to)1269-1296
    Number of pages28
    Issue number3
    Publication statusPublished - 8 May 2020


    • Attention
    • bounded rationality
    • consideration set
    • stochastic choice


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