Toulouse Schoolof Economics (LERNA, UT1, CNRS), 21 All´ee de Brienne, 31000 Toulouse, France.
Risk Anal. 2011 Jul;31(7):1069-82. doi: 10.1111/j.1539-6924.2011.01583.x. Epub 2011 Mar 3.
This study examines individuals' perception of their own road-mortality risk using a Swedish data set. Individuals' subjective beliefs about their personal risk are compared with the objective risk of his/her own age and gender group, which in this study is defined as the respondents' objective risk. Both descriptive statistics and regression results suggest that low- and high-risk groups over- and underassess their risk levels, respectively. Having access to individual-level data we also find that the probability of underassessment and the size of risk bias is related to individual characteristics, for example, gender. Individuals' formation of risk perception is also analyzed based on the Bayesian learning model. Even though we find a positive relationship between perceived and objective risk, we cannot reject the hypothesis that individuals are not Bayesian in updating their risk beliefs.
本研究使用瑞典数据集考察了个体对自身道路死亡率风险的感知。将个体对其个人风险的主观信念与他/她自己的年龄和性别组的客观风险进行比较,在本研究中,这被定义为被调查者的客观风险。描述性统计和回归结果均表明,低风险和高风险群体分别过高和过低估计了自己的风险水平。由于我们可以获得个人层面的数据,因此还发现低估的可能性和风险偏差的大小与个体特征有关,例如性别。我们还基于贝叶斯学习模型分析了风险感知的形成。尽管我们发现感知风险与客观风险之间存在正相关关系,但我们不能拒绝个体在更新风险信念时并非贝叶斯的假设。