• Journal of Digital Convergence
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• v.14 no.12
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• pp.13-25
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• 2016

This paper analyses the impacts of the characteristics of policyholder and contract on the lapse of Voluntarily Insured Person in National Pension, using the recent lapse data from National Pension Service. The logistic regression model is used in examining lapse odds with several independent variables. The result demonstrates several hypotheses of the lapse behaviors. First, the lapse odds of men is lower than that of women. Second, the effect of age on lapse odds shows concave shave with the peak at 37. Third, insured period has a negative effect on lapse odds in entrants sample. Fourth, standard monthly income has little effect on lapse in either sample. Fifth, the lapse odds decreases as the expected benefit ratio increases. Sixth, 2013 pension bill resulted in the sharp increase of lapse odds and the effect was greater for entrants. Last but not least, spatial environment such as residence also affects the lapse behavior.

• Convergence Security Journal
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• v.16 no.6_2
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• pp.53-60
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• 2016

Security measures for the current insurance crime has focused on the capture oriented and reactive response in the screening stage of insurance payments. However, since leaving the damages that can not be healed by post-punishment, it is necessary to take measures to prevent the insurance crimes in advance. In this paper, I would like to try to identify problems through analyzing the characteristics and cases of the insurance crimes, and to present alternatives to it. The problems with the current insurance system that causes the insurance crimes are, First, When signing the insurance contract, it is too inattentive to confirm about the credit status of the policyholder, duplicate join or not, whether voluntarily sign up etc. Second, a thorough investigation or criminal charges in case of insurance accident is not being done properly. Third, information exchange and management to malicious policyholders is not being done properly. Therefore, in order to guard people from insurance crimes, First, it should strengthen the audit of such credit conditions, accident experiences in the insurance contract at the policyholders. Second, we need to block insurance crimes in advance through the continuous upgrades of insurance fraud analysis systems and social network. Third, it is necessary to strengthen the surveillance systems for the insurance crimes by the information sharing.