Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes
AbstractWe present a new Bayesian econometric speci cation for a hypothetical Discrete Choice Experiment (DCE) incorporating respondent ranking information about attribute impor- tance. Our results indicate that a DCE debrie ng 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, nding 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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Bibliographic InfoPaper provided by Australian Agricultural and Resource Economics Society in its series 2013 Conference (57th), February 5-8, 2013, Sydney, Australia with number 152151.
Date of creation: Feb 2013
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Attribute Importance Rankings; Discrete Choice Experiment; Survey Mode; Food Consumption/Nutrition/Food Safety; Productivity Analysis; Research and Development/Tech Change/Emerging Technologies; C11; C25; L66;
Other versions of this item:
- Balcombe, Kelvin George & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2012. "Using Attribute Importance Rankings within Discrete Choice Experiments: an application to Valuing Bread Attributes," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134759, Agricultural 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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