Skip to content

Using attribute importance rankings within discrete choice experiments: an application to valuing bread attributes

Research output: Contribution to journalArticle

  • Kelvin Balcombe
  • Michail Bitzios
  • Iain Fraser
  • Janet Haddock-Fraser
We 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 affected by the mode of survey delivery. We conclude that the ranking data are a complementary source of information about respondent utility functions within hypothetical DCEs.
Original languageEnglish
Pages (from-to)446-462
JournalJournal of Agricultural Economics
Volume65
Issue number2
Early online date23 Jan 2014
DOIs
Publication statusPublished - Jun 2014

Documents

  • BITZIOS_2014_cright_JAE_Using attribute importance rankings within discrete choice experiments

    Rights statement: This is the accepted version of the following article: Using attribute importance rankings within discrete choice experiments: an application to valuing bread attributes, Balcombe, K., Bitzios, M., Fraser, I. & Haddock-Fraser, J. Jun 2014 In : Journal of Agricultural Economics. 65, 2, p. 446-462, which has been published in final form at http://doi.wiley.com/10.1111/1477-9552.12051.

    Accepted author manuscript (Post-print), 169 KB, PDF document

    Licence: CC BY-NC-SA

Related information

Relations Get citation (various referencing formats)

ID: 1208181