Nonparametric Analysis of Random Utility Models
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.
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