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

Kelvin Balcombe; Michail Bitzios; Iain Fraser; Janet Haddock-Fraser

doi:10.1111/1477-9552.12051

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

Kelvin Balcombe, Michail Bitzios, Iain Fraser, Janet Haddock-Fraser

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Abstract

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 language	English
Pages (from-to)	446-462
Journal	Journal of Agricultural Economics
Volume	65
Issue number	2
Early online date	23 Jan 2014
DOIs	https://doi.org/10.1111/1477-9552.12051
Publication status	Published - Jun 2014

Keywords

Attribute importance rankings
discrete choice experiment
survey mode

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10.1111/1477-9552.12051

BITZIOS_2014_cright_JAE_Using attribute importance rankings within discrete choice experiments
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 KBLicence: CC BY-NC-SA

http://doi.wiley.com/10.1111/1477-9552.12051

Cite this

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

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