A class of random utility models yielding the exploded logit

IF 2.2 4区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Karim Kilani
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引用次数: 0

Abstract

We reexamine a family of distributions introduced within the framework of random utility models by David Strauss. This family generates ranking probabilities of the exploded logit model and, de facto, the choice probabilities of the multinomial logit model. We explore the necessary and sufficient conditions for its validity within the copula theory. By specifying the minimal assumptions required for the support of the marginal utility distributions, we clarify and reinforce the fundamental structure of the model, proving that it relies on strict archimedean copulas. Additionally, we provide a new mathematical proof by induction on the number of alternatives confirming that these utility distributions indeed generate the exploded logit model.
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来源期刊
Journal of Mathematical Psychology
Journal of Mathematical Psychology 医学-数学跨学科应用
CiteScore
3.70
自引率
11.10%
发文量
37
审稿时长
20.2 weeks
期刊介绍: The Journal of Mathematical Psychology includes articles, monographs and reviews, notes and commentaries, and book reviews in all areas of mathematical psychology. Empirical and theoretical contributions are equally welcome. Areas of special interest include, but are not limited to, fundamental measurement and psychological process models, such as those based upon neural network or information processing concepts. A partial listing of substantive areas covered include sensation and perception, psychophysics, learning and memory, problem solving, judgment and decision-making, and motivation. The Journal of Mathematical Psychology is affiliated with the Society for Mathematical Psychology. Research Areas include: • Models for sensation and perception, learning, memory and thinking • Fundamental measurement and scaling • Decision making • Neural modeling and networks • Psychophysics and signal detection • Neuropsychological theories • Psycholinguistics • Motivational dynamics • Animal behavior • Psychometric theory
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