A Separability Foundation for Random Coefficients Logit

Fedor Sandomirskiy, Po Hyun Sung, Omer Tamuz and Ben Wincelberg

Papers from arXiv.org

Abstract: We study stochastic choice across decision problems, each represented as a menu of action labels paired with observable outcome vectors. We propose a consistency condition for behavior in decision problems composed of two separable components: choice probabilities must agree with those obtained when each component is considered in isolation. Together with monotonicity and continuity, this separability requirement characterizes the family of random coefficients logit rules.

Date: 2023-12, Revised 2026-05
New Economics Papers: this item is included in nep-dcm and nep-upt
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