Arbeitspapier
Nonparametric analysis of random utility models
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.
- Sprache
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Englisch
- Erschienen in
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Series: cemmap working paper ; No. CWP27/16
- Klassifikation
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Wirtschaft
Semiparametric and Nonparametric Methods: General
- Thema
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Stochastic Rationality
- Ereignis
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Geistige Schöpfung
- (wer)
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Kitamura, Yuichi
Stoye, Jörg
- Ereignis
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Veröffentlichung
- (wer)
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Centre for Microdata Methods and Practice (cemmap)
- (wo)
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London
- (wann)
-
2016
- DOI
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doi:10.1920/wp.cem.2016.2716
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Kitamura, Yuichi
- Stoye, Jörg
- Centre for Microdata Methods and Practice (cemmap)
Entstanden
- 2016