Nonparametric analysis of random utility models
Yuichi Kitamura () and
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Yuichi Kitamura: Institute for Fiscal Studies and Yale University
No CWP27/16, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies
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 sucient 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.
JEL-codes: C14 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-upt
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Journal Article: Nonparametric Analysis of Random Utility Models (2018)
Working Paper: Nonparametric Analysis of Random Utility Models (2018)
Working Paper: Nonparametric analysis of random utility models (2017)
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