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Nonparametric analysis of random utility models

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  • Yuichi Kitamura
  • Jörg Stoye

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 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.

Suggested Citation

  • Yuichi Kitamura & Jörg Stoye, 2016. "Nonparametric analysis of random utility models," CeMMAP working papers 27/16, Institute for Fiscal Studies.
  • Handle: RePEc:azt:cemmap:27/16
    DOI: 10.1920/wp.cem.2016.2716
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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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