Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/66800
Authors: 
Hess, Stephane
Year of Publication: 
2010
Citation: 
[Journal:] Journal of Choice Modelling [ISSN:] 1755-5345 [Volume:] 3 [Year:] 2010 [Issue:] 2 [Pages:] 134-152
Abstract: 
A number of authors have discussed the possible advantages of conditioning parameter distributions on observed choices when working with Mixed Multinomial Logit models. However, the number of applications is still relatively small, partly due to a limited implementation in available software. To address this situation, the present paper discusses the development of a freeware software tool that allows users to compute conditional distributions independently of the software used during model estimation. Additionally, the paper looks at what impact assumptions made for the unconditional distributions have on the results obtained with conditional distributions. Here, an application using stated choice data collected in Denmark shows that while the move from unconditional to conditional distributions possibly brings results closer together, some discrepancies do remain.
Subjects: 
mixed logit
discrete choice
conditional distributions
taste heterogeneity
Creative Commons License: 
http://creativecommons.org/licenses/by-nc/2.0/uk/
Document Type: 
Article
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