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Identification of Incomplete Preferences

Rigotti, Luca and Beresteanu, Arie (2021) Identification of Incomplete Preferences. (Unpublished)

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We provide a sharp identification region for discrete choice models in which consumers' preferences are not necessarily complete and only aggregate choice data is available to the analysts. Behavior with non complete preferences is modeled using an upper and a lower utility for each alternative so that non-comparability can arise. The identification region places intuitive bounds on the probability distribution of upper and lower utilities. We show that the existence of an instrumental variable can be used to reject the hypothesis that all consumers' preferences are complete, while attention sets can be used to rule out the hypothesis that all individuals cannot compare any two alternatives. We apply our methods to data from the 2018 mid-term elections in Ohio.


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Item Type: Article
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Rigotti, Lucaluca@pitt.eduluca0000-0002-1461-6055
Beresteanu, Ariearie@pitt.eduarie0000-0002-2394-4392
Date: 2021
Date Type: Publication
Publisher: arXiv
DOI or Unique Handle: 10.48550/arxiv.2108.06282
Schools and Programs: Dietrich School of Arts and Sciences > Economics
Refereed: No
Uncontrolled Keywords: Econometrics (econ.EM), Theoretical Economics (econ.TH), FOS: Economics and business, FOS: Economics and business
Official URL:
Article Type: Research Article
Date Deposited: 16 May 2022 15:03
Last Modified: 16 May 2022 15:03


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