Using Attribute Importance Rankings within Discrete Choice Experiments: an application to Valuing Bread Attributes
AbstractIn this paper we present results from a Choice Experiment (CE) incorporating respondent debrie ng ranking information about attribute importance employing a modi ed Mixed Logit using Bayesian methods. Our results indicate that a CE debrie ng question that asks respondents to rank the importance of attributes, as opposed to simply indicating attendance or non-attendance, helps to explain the resulting choices. We also examine how mode of survey delivery (online and mail) impacts model performance and nd that our 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 CE.
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Bibliographic InfoPaper provided by Agricultural Economics Society in its series 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK with number 134759.
Date of creation: Apr 2012
Date of revision:
Choice Experiment; Attribute Non-Attendance; Survey Mode; Labor and Human Capital; C11; C25; L66;
Other versions of this item:
- Balcombe, Kelvin & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2013. "Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152151, Australian Agricultural and Resource Economics Society.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
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