Working Paper

Nonparametric analysis of random utility models

Authors

Jorg Stoye, Yuichi Kitamura

Published Date

11 December 2017

Type

Working Paper (CWP56/17)

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 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.


Previous version

Nonparametric analysis of random utility models
Yuichi Kitamura, Jörg Stoye
CWP27/16