Nonparametric analysis of random utility models: testing

Yuichi Kitamura () and Jörg Stoye
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Yuichi Kitamura: Institute for Fiscal Studies and Yale University

No CWP36/13, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

Abstract: This paper develops and implements a nonparametric test of Random Utility Models (RUM) using only nonsatiation and the Strong Axiom of Revealed Preference (SARP) as restrictions on individual level behaviour, allowing for fully unrestricted unobserved heterogeneity. The main application is the test of the null hypothesis that a sample of cross-sectional demand distributions was generated by a population of rational consumers. Thus, the paper provides a finite sample counterpart to the classic theoretical analysis of McFadden and Richter (1991). To do so, it overcomes challenges in computation and in asymptotic theory and provides an empirical application to the U.K. Household Expenditure Survey. An econometric result of independent interest is a test for inequality constraints when they are represented in terms of the rays of a cone rather than its faces.

Keywords: stochastic; rationality (search for similar items in EconPapers)
JEL-codes: C14 (search for similar items in EconPapers)
Date: 2013-08-07
New Economics Papers: this item is included in nep-dcm, nep-ecm, nep-ore, nep-spo and nep-upt
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Citations: View citations in EconPapers (36)

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Related works:
Working Paper: Nonparametric analysis of random utility models: testing (2013)
Working Paper: Nonparametric Analysis of Random Utility Models: Testing (2013)
Working Paper: Nonparametric Analysis of Random Utility Models: Testing (2013)
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