Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/23490
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dc.contributor.authorAggarwal, Manish-
dc.date.accessioned2021-01-24T05:53:30Z-
dc.date.available2021-01-24T05:53:30Z-
dc.date.issued2016-03-
dc.identifier.urihttp://hdl.handle.net/11718/23490-
dc.description.abstractThe complex human attitudinal character plays an important role in the real world decision making. To this end, we present a family of extended probabilistic discrete choice models. The attitude-based variants of multinomial logit, probit, nested, and mixed multinomial models are presented. The proposed models are further empowered through their generalization leading to a host of exponential attitudinal discrete choice models. It is shown that the existing models are the special cases of the proposed models that allow to generate a very wide range of choice probabilities in accordance with the adjustable parameter(s). The usefulness of the proposed models in modelling a decision-maker’s decision model is shown in a sequel paper.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectMarketing researchen_US
dc.subjectDiscrete choice modelsen_US
dc.subjectDecision makingen_US
dc.subjectHuman attitudinal characteren_US
dc.titleOn the class of attitudinal discrete choice modelsen_US
dc.typeWorking Paperen_US
Appears in Collections:Working Papers

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