Using attribute importance rankings within discrete choice experiments: an application to valuing bread attributesBalcombe, K., Bitzios, M., Fraser, I. and Fraser-Haddock, J. (2014) Using attribute importance rankings within discrete choice experiments: an application to valuing bread attributes. Journal of Agricultural Economics, 65 (2). pp. 446-462. ISSN 0021-857X Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1111/1477-9552.12051 Abstract/SummaryWe present a new Bayesian econometric specification for a hypothetical Discrete Choice Experiment (DCE) incorporating respondent ranking information about attribute importance. Our results indicate that a DCE debriefing question that asks respondents to rank the importance of attributes helps to explain the resulting choices. We also examine how mode of survey delivery (online and mail) impacts model performance, finding that results are not substantively a§ected by the mode of survey delivery. We conclude that the ranking data is a complementary source of information about respondent utility functions within hypothetical DCEs
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