Work

Identifying heterogeneous decision rules from choices when menus are unobserved

Year: 2026

Type: article

Abstract: Consider aggregate choice data from a population with heterogeneity in both preferences (or more general decision rules) and in menus, and where the analyst has limited information about how menus are distributed across the population. We determine what can be inferred from aggregate data about the distribution of preferences by identifying the set of all distributions that are consistent with the preceding. Our main theorem strengthens and generalizes existing results on such identification and provides an alternative analytical approach (using convex capacities) to study the problem.

Source: Journal of Economic Behavior & Organization

DOI: 10.1016/j.jebo.2026.107801

Authors: Larry G. Epstein, Kaushil Patel

Institution: McGill University

Language: English

Topic: Decision-Making and Behavioral Economics

Subfield: General Decision Sciences

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,180

OpenAlex ID: W7221640264

FWCI:

Cites: 34

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