Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/19477
Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: Investigating heterogeneity in the characterization of risks using best worst scaling
Authors: Erdem, Seda
Rigby, Dan
Contact Email: seda.erdem@stir.ac.uk
Keywords: Best-worst scaling
heterogeneity
food pathogens
novel technology
risk perception
Issue Date: Sep-2013
Publisher: Wiley-Blackwell for Society for Risk Analysis
Citation: Erdem S & Rigby D (2013) Investigating heterogeneity in the characterization of risks using best worst scaling, Risk Analysis, 33 (9), pp. 1728-1748.
Abstract: This research proposes and implements a new approach to the elicitation and analysis of perceptions of risk. We use best worst scaling (BWS) to elicit the levels of control respondents believe they have over risks and the level of concern those risks prompt. The approach seeks perceptions of control and concern over a large risk set and the elicitation method is structured so as to reduce the cognitive burden typically associated with ranking over large sets. The BWS approach is designed to yield strong discrimination over items. Further, the approach permits derivation of individual-level values, in this case of perceptions of control and worry, and analysis of how these vary over observable characteristics, through estimation of random parameter logit models. The approach is implemented for a set of 20 food and nonfood risks. The results show considerable heterogeneity in perceptions of control and worry, that the degree of heterogeneity varies across the risks, and that women systematically consider themselves to have less control over the risks than men.
Type: Journal Article
URI: http://hdl.handle.net/1893/19477
DOI Link: http://dx.doi.org/10.1111/risa.12012
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Economics
University of Manchester

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