Factors affecting survival periods of new life insurance agents :The application of quantile regression analysis

• Main Authors: Pei-yun Chang, 張佩芸
• Other Authors: Min-san Hung
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/jv9552

碩士 === 國立高雄第一科技大學 === 風險管理與保險研究所 === 102 === For life insurance companies, sales’ survivability not only to increase agents training costs of the insurance company but also damage the reputation of the insurance company, thereby affecting the interests of policyholders. Therefore, improvement of agents survivability is a problem to be faced by the insurance company. We study the determinate of the agents survivability, as the reference that company can cost down re-recruitment, selection and training costs for salesman. In this study, OLS and quantile regression are applied to discuss survivability factor for new agents in Kaohsiung area from April 1999 to March 2011. As result, the better performance for agents that have high survivability, holding foreign currency license for salesman are more competitive.