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Nonparametric Analysis of Random Utility Models

Yuichi Kitamura, Jörg Stoye

Econometrica · 2018 · Volume 86 · Issue 6

DOI: 10.3982/ECTA14478

Abstract

This paper develops and implements a nonparametric test of random utility models. The motivating application is to test the null hypothesis that a sample of cross-sectional demand distributions was generated by a population of rational consumers. We test a necessary and sufficient condition for this that does not restrict unobserved heterogeneity or the number of goods. We also propose and implement a control function approach to account for endogenous expenditure. An econometric result of independent interest is a test for linear inequality constraints when these are represented as the vertices of a polyhedral cone rather than its faces. An empirical application to the U.K. Household Expenditure Survey illustrates computational feasibility of the method in demand problems with five goods.

Keywords

Stochastic rationality

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