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.
Assessing risk perception by means of ordinal models / P., Cerchiello; Iannario, Maria; Piccolo, Domenico. - (2010), pp. 75-83. (Intervento presentato al convegno International Conference on Mathematical and Statistical Methods for Actuarial Sciences and Finance, MAF 2008 tenutosi a Venice, ita nel 2008) [10.1007/978-88-470-1481-7_8].
Assessing risk perception by means of ordinal models
IANNARIO, MARIA;PICCOLO, DOMENICO
2010
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
