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Nonparametric Analysis of Random Utility Models

Statistics Theory 2018-12-06 v3 Econometrics Statistics Theory

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 rely on any restriction on 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 polyhedron rather than its faces. An empirical application to the U.K. Household Expenditure Survey illustrates computational feasibility of the method in demand problems with 5 goods.

Keywords

Cite

@article{arxiv.1606.04819,
  title  = {Nonparametric Analysis of Random Utility Models},
  author = {Yuichi Kitamura and Jörg Stoye},
  journal= {arXiv preprint arXiv:1606.04819},
  year   = {2018}
}

Comments

54 pages, 2 figures

R2 v1 2026-06-22T14:26:04.374Z