Mixture Choice Data: Revealing Preferences and Cognition

Valentino Dardanoni, Paola Manzini, Marco Mariotti, Henrik Petri, Christopher J. Tyson

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Mixture choice data consist of the joint distribution of choices of a group of agents from a collection of menus, comprising the implied stochastic choice function plus any cross-menu correlations. When agents are heterogeneous with respect to both preferences and other aspects of cognition, we show that these two determinants of behavior are identified simultaneously by suitable mixture choice data. We also demonstrate how this finding can be extended to allow for specialized assumptions about cognition, focusing on models of random satisficing thresholds and “quantal Fechnerian” choice.
Original languageEnglish
Pages (from-to)687-715
Number of pages29
JournalJournal of Political Economy
Issue number3
Early online date9 Feb 2023
Publication statusPublished - 31 Mar 2023


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