Context-sensitive rationality: Choice by salience

Alfio Giarlotta, Angelo Petralia and Stephen Watson

Journal of Mathematical Economics, 2023, vol. 109, issue C

Abstract: We describe a context-sensitive approach to individual choice, in which the explanation is provided by a family of linear orders indexed by all available items. Selection from a menu is then recovered by the classical maximization paradigm, subject to the constraint that the justifying rationale must be indexed by an item of the menu. This approach allows us to pursue two complementary goals: (1) a fine classification of all possible choices into classes of rationality, and (2) a bounded rationality model based on an ordinal notion of salience. Concerning (1), we refine the context-free model of rationalization by multiple rationales, partitioning the class of all choice functions on n items into n classes of rationality. The least rational class is expressive of a moody behavior, which is rare for small n, but prevailing for large n. Concerning (2), we enrich our framework by a binary relation of salience, which guides the selection process. Upon requiring that all rationales associated to equally salient items coincide, choice is explained by appealing to the unique linear order indexed by a maximally salient item of the menu. Choice by salience is a specification of choice with limited attention. Numerical estimates show the sharp selectivity of this model of bounded rationality.

Keywords: Bounded rationality; Context-sensitive rationalization; Salience; Moody choice; Rationalization by multiple rationales; Limited attention (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304406823001064
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:mateco:v:109:y:2023:i:c:s0304406823001064

DOI: 10.1016/j.jmateco.2023.102913

Access Statistics for this article

Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii

More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().