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À propos de : Modeling Discrete Choice with Uncertain Data: An Augmented MNL Estimator        

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  • Modeling Discrete Choice with Uncertain Data: An Augmented MNL Estimator
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  • This article introduces a multinomial logit model that uses ancillary information to control for uncertainty in both the observed choices made by respondents, and in the attributes of a respondent's choice set. Simulated data are used to compare the performance of this estimator versus simpler models, under several different kinds of uncertainty.
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