Abstract
This paper presents a discrete mixture model as a suitable approach for the analysis of data concerning risk perception, when they are expressed by means of ordered scores (ratings). The model, which is the result of a personal feeling (risk perception) towards the object and an inherent uncertainty in the choice of the ordinal value of responses, reduces the collective information, synthesising different risk dimensions related to a preselected domain. After a brief introduction to risk management, the presentation of the CUB model and related inferential issues, we illustrate a case study concerning risk perception for the workers of a printing press factory.
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Cerchiello, P., Iannario, M., Piccolo, D. (2010). Assessing risk perception by means of ordinal models. In: Corazza, M., Pizzi, C. (eds) Mathematical and Statistical Methods for Actuarial Sciences and Finance. Springer, Milano. https://doi.org/10.1007/978-88-470-1481-7_8
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DOI: https://doi.org/10.1007/978-88-470-1481-7_8
Publisher Name: Springer, Milano
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