A dual approach to nonparametric characterization for random utility models

Fuente: arXiv
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Autores principales: Koida, Nobuo, Shirai, Koji
Formato: Preprint
Publicado: 2024
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author Koida, Nobuo
Shirai, Koji
author_facet Koida, Nobuo
Shirai, Koji
contents 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 of budget lines, say $π$, is consistent with a RUM, if and only if $Ξπ\geq \mathbb{1}$, where the RHS is the vector of $1$'s. In addition to providing a concise quantifier-free characterization, especially when $π$ is inconsistent with RUMs, the vector $Ξπ$ also contains information concerning (1) sub-families of budgets in which cyclical choices must occur with positive probabilities, and (2) the maximal possible weights on rational choice patterns in a population. The notion of Chvátal rank of polytopes and the duality theorem in linear programming play key roles to obtain these results.
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publishDate 2024
record_format arxiv
spellingShingle A dual approach to nonparametric characterization for random utility models
Koida, Nobuo
Shirai, Koji
Theoretical Economics
Econometrics
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 of budget lines, say $π$, is consistent with a RUM, if and only if $Ξπ\geq \mathbb{1}$, where the RHS is the vector of $1$'s. In addition to providing a concise quantifier-free characterization, especially when $π$ is inconsistent with RUMs, the vector $Ξπ$ also contains information concerning (1) sub-families of budgets in which cyclical choices must occur with positive probabilities, and (2) the maximal possible weights on rational choice patterns in a population. The notion of Chvátal rank of polytopes and the duality theorem in linear programming play key roles to obtain these results.
title A dual approach to nonparametric characterization for random utility models
topic Theoretical Economics
Econometrics
url https://arxiv.org/abs/2403.04328