Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57123
Title: Econometric models of probabilistic choice: beyond mcfadden’s formulas
Authors: Olga Kosheleva
Vladik Kreinovich
Songsak Sriboonchitta
Keywords: Computer Science
Issue Date: 1-Feb-2017
Abstract: © Springer International Publishing AG 2017. Traditional decision theory assumes that for every two alternatives, people always make the same (deterministic) choice. In practice, people’s choices are often probabilistic, especially for similar alternatives: the same decision maker can sometimes select one of them and sometimes the other one. In many practical situations, an adequate description of this probabilistic choice can be provided by a logit model proposed by 2001 Nobelist D. McFadden. In this model, the probability of selecting an alternative a is proportional to exp(β · u(a)), where u(a) is the alternative’s utility. Recently, however, empirical evidence appeared that shows that in some situations, we need to go beyond McFadden’s formulas. In this paper, we use natural symmetries to come up with an appropriate generalization of McFadden’s formulas.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012267327&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57123
ISSN: 1860949X
Appears in Collections:CMUL: Journal Articles

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