Using attribute importance rankings within discrete choice experiments: an application to valuing bread attributes
Research output: Contribution to journal › Article › peer-review
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 | |
| Publication status | Published - 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
ID: 1208181
