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Using Attribute Importance Rankings within Discrete Choice Experiments: an application to Valuing Bread Attributes

Kelvin Balcombe, Michael Bitzios, Iain Fraser () and Haddock-Fraser, Janet

No 134759, 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK from Agricultural Economics Society

Abstract: In 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.

Keywords: Labor; and; Human; Capital (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm
Date: 2012-04
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Related works:
Journal Article: Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes (2014) Downloads
Working Paper: Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes (2013) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aesc12:134759

DOI: 10.22004/ag.econ.134759

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