Capturing Preferences Under Incomplete Scenarios Using Elicited Choice Probabilities

Joseph A. Herriges, Subhra Bhattacharjee and Catherine Kling

Staff General Research Papers Archive from Iowa State University, Department of Economics

Abstract: Manski (1999) proposed an approach for dealing with a particular form respondent uncertainty in discrete choice settings, particularly relevant in survey based research when the uncertainty stems from the incomplete description of the choice scenarios. Specifically, he suggests eliciting choice probabilities from respondents rather than their single choice of an alternative. A recent paper in IER by Blass et al. (2010) further develops the approach and presents the first empirical application. This paper extends the literature in a number of directions, examining the linkage between elicited choice probabilities and the more common discrete choice elicitation format. We also provide the first convergent validity test of the elicited choice probability format vis-\`a-vis the standard discrete choice format in a split sample experiment. Finally, we discuss the differences between welfare measures that can be derived from elicited choice probabilities versus those that can obtained from discrete choice responses.

Keywords: discrete choice; Elicited Choice Probabilities (search for similar items in EconPapers)
JEL-codes: C25 Q51 (search for similar items in EconPapers)
Date: 2011-03-24
New Economics Papers: this item is included in nep-dcm, nep-ecm, nep-exp and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Related works:
Working Paper: Capturing preferences under incomplete scenarios using elicited choice probabilities (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:isu:genres:32626

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