Modeling Discrete Choice with Uncertain Data: An Augmented MNL Estimator

Daniel Hellerstein

American Journal of Agricultural Economics, 2005, vol. 87, issue 1, 77-84

Abstract: 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. Copyright 2005, Oxford University Press.

Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:87:y:2005:i:1:p:77-84

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