Automobile hull insurance has attracted much attention due to the high rate of vehicle applications in daily lives. Since purchasing these policies is optional in Iran and their premium rates are set competitively, a competition is formed among the insurance companies for attracting low risk drivers. However, most of the insurers still use comparative rates and pay no or less attention to the f...

asymmetric information in iran’s insurance market: case study for automobile insurance in iran insurance companythis research aims to test the presence of asymmetric information by using the dynamic information of automobile policyholders in the iran insurance company (iic). the conditional independence test is conducted by bivariate probit model, the dynamic properties which are presented for ...

Several state-of-the-art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim fraud detection. The predictive power of logistic regression, C4.5 decision tree, k-nearest neighbor, Bayesian learning multilayer perceptron neural network, least-squares support vector machine, naive Bayes, and tree-augmented naive Bayes classification is ...

BACKGROUND In South Korea, people injured in road traffic accidents receive compensation for medical costs through their automobile insurance. However, the automobile insurance system appears to manage health care inefficiently. This study aimed to investigate the factors associated with the hospital length of stay (LOS), which was used as an indicator of healthcare utilization, for inpatients ...

This paper empirically investigates the effect of policyholders’ private information about risky traffic behavior on automobile insurance coverage and ex post risk. It combines insurance company information with the policyholders’ private information on risky traffic behavior (traffic violations) that is not accessible to the insurance company. It is demonstrated that being unable to reject the...

This paper investigates the incentive effects of automobile insurance, compulsory insurance laws, and no-fault liability laws on driver behavior and traffic fatalities. We analyze a panel of 50 U.S. states and the District of Columbia for 1970–98, a period in which many states adopted compulsory insurance regulations and/or nofault laws. Using an instrumental variables approach, we find evidenc...

This paper presents a review of the literature on the application of data mining techniques for the detection of insurance fraud. Academic literature were analyzed and classified into three types of insurance fraud (automobile insurance, crop insurance and healthcare insurance) and six classes of data mining techniques (classification, regression, clustering, prediction, outlier detection, and ...