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A dual approach to nonparametric characterization for random utility models

Nobuo Koida · Koji Shirai首次提交 2024-03-07 · 修订 2024-06-18 · v3arXiv预印本

随机效用模型非参数刻画的对偶方法AI 解读

This paper develops a novel characterization for random utility models (RUM), which turns out to be a dual representation of the characterization by Kitamura and Stoye (2018, ECMA). For a given family of budgets and its "patch" representation á la Kitamura and Stoye, we construct a matrix $Ξ$ of which each row vector indicates the structure of possible revealed preference relations in each subfamily of budgets. Then, it is shown that a stochastic demand system on the patches…This paper develops a novel characterization for random utility models (RUM), which turns out to be a dual representation of the characterization by Kitamura and Stoye (2018, ECMA). For a given family of budgets and its "patch" representation á la Kitamura and Stoye, we construct a matrix $Ξ$ of which each row vector indicates the structure of possible revealed preference relations in each subfamily of budgets. Then, it is shown that a stochastic demand system on the patches…

微观 · 离散选择半参数与非参数

关联记录被引 0 次 ↗OpenAlex · 核验 2026-09-30

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