摘要
本文通过对汽车责任险市场续保数据的动态分组,对"风险-保障"的相关性进行计量经济建模,采用Logistic模型研究我国汽车责任险市场的逆选择问题。通过这一动态分组方法下的经验研究,我们发现,逆选择现象在首年低保障样本中显著存在,在首年高保障样本中不显著。同时,我们还发现,费率水平对保障选择有显著影响,投保中的习惯性行为不太明显。
Based on dynamic grouping of renewal policy data, we construct econometric model on the riskcoverage conditional correlation to study the adverse selection problem in Chinese auto liability insurance market using logistic model. The study shows, adverse selection exists in the sample of low coverage group but is not significant for the high coverage one. Premium rate is the key factor which affects the choice of coverage otherwise habit persistence is not obvious.
出处
《南方经济》
CSSCI
北大核心
2011年第9期43-56,共14页
South China Journal of Economics
基金
上海财经大学211工程重点学科建设项目
上海社科规划项目(2010EJB007)资助
关键词
动态分组
逆选择
汽车责任险
Dynamic Grouping
Adverse Selection
Auto Liability Insurance