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This paper introduces the measurement error random utility model (MERUM) as a generalization of the standard random utility model. The model is characterized by an ɛ-Axiom of Revealed Stochastic Preference. The model introduces a natural measure of minimal measurement error needed for MERUM rationalization.
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This paper develops a framework for identifying consumer preferences and budget distribution in discrete choice models where unobserved budget constraints determine consideration sets.
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This paper develops a practical structural demand model that disentangles attention and blur effects of advertising with industry spill-overs using the Nested Consideration Logit approach.
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This paper introduces a new measure of stochastic choice consistency for the random utility model (RUM) by allowing measurement error on choice probabilities, providing a statistical test for RUM violations.