Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/66825 
Year of Publication: 
2012
Citation: 
[Journal:] Journal of Choice Modelling [ISSN:] 1755-5345 [Volume:] 5 [Issue:] 2 [Publisher:] University of Leeds, Institute for Transport Studies [Place:] Leeds [Year:] 2012 [Pages:] 38-80
Publisher: 
University of Leeds, Institute for Transport Studies, Leeds
Abstract: 
Louviere et al. (2008, J. of Choice Modelling, 1, 126-163) present two main empirical examples in which a respondent rank orders the options in various choice sets by repeated best, then worst, choice. They expand the ranking data to various implied choices in subsets and fit the expanded data in various ways; they do not present models of the original rank data, except in one case (that of the rank ordered logit). We build on that work by constructing models of the original rank data that are consistent with the weights implied by the data expansions. This results in two classes of models: the first includes the reversible ranking model and has useful score properties; the second includes the rank ordered logit model and has natural process interpretations. We summarize known and new results on relations between the two classes of models and present fits of the models to the data of a case study concerning micro-generation of electricity using solar panels - that is, where individual households generate electricity using a renewable energy technology. - best-worst choice ; choice models ; micro-generation ; probabilistic choice ; rank expansions ; ranking ; renewable energy
Creative Commons License: 
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Document Type: 
Article
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