Econometrica: Jan 2021, Volume 89, Issue 1

Nonparametric Analysis of Random Utility Models: Computational Tools for Statistical Testing

https://doi.org/10.3982/ECTA17605
p. 437-455

Bart Smeulders, Laurens Cherchye, Bram De Rock

Kitamura and Stoye (2018) recently proposed a nonparametric statistical test for random utility models of consumer behavior. The test is formulated in terms of linear inequality constraints and a quadratic objective function. While the nonparametric test is conceptually appealing, its practical implementation is computationally challenging. In this paper, we develop a column generation approach to operationalize the test. These novel computational tools generate considerable computational gains in practice, which substantially increases the empirical usefulness of Kitamura and Stoye's statistical test.



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Supplement to "Nonparametric Analysis of Random Utility Models: Computational Tools for Statistical Testing"

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Supplement to "Nonparametric Analysis of Random Utility Models: Computational Tools for Statistical Testing"

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