This fall, the federal government will operate a new health insurance marketplace in North Carolina. Uninsured individuals will have the opportunity to purchase health insurance, but many of these individuals do not understand health insurance options and will need education and assistance in the selection of an insurance plan. This article describes the various ways in which this assistance wi...

The level of need and costs of obtaining long-term care (LTC) during retired life require that planning for it is an integral part of retirement planning. In this paper, we divide retirement planning into two phases, pre-retirement and post-retirement. On the basis of four interrelated models for health evolution, wealth evolution, LTC insurance premium and coverage, and LTC cost structure, a f...

In recent years, because of the high potential for insurability in Turkey and the rapid improvement of insurance sector, foreign investors are interested in Turkish insurance market. Since insurability rate has reached saturation point in their countries, foreign investors tended to make investments in Turkey and start to purchase local insurance companies in Turkey. In this paper we analyze fi...

This issue brief explores the use of premium assistance in publicly financed health insurance coverage programs. In the context of Medicaid and the State Children's Health Insurance Program (SCHIP), premium assistance entails using federal and state funds to subsidize the premiums for the purchase of private insurance coverage for eligible individuals. This paper considers the evolution of prem...

Regulatory authorities demand insurance companies to control the risks by imposing stringent risk management policies. This article investigates the insurance company’s optimal risk management strategy subject to regulator’s risk measure constraints. We first design the optimal reinsurance contracts under different tail risk measures. Then we analyze the impact of the regulators’ requirements o...

In this paper, we use feed forward neural networks with the back-propagation algorithm to build decision models for five insurances including life, annuity, health, accident, and investment-oriented insurances. Six features (variables) were selected for the inputs of the neural networks including age, sex, annual income, educational level, occupation, and risk preference. Three hundred insurant...

In this paper, we use decision trees to establish the decision models for insurance purchases. Five major types of insurances are involved in this study including life, annuity, health, accident, and investment-oriented insurances. Four decision tree methods were used to build the decision models including Chi-square Automatic Interaction Detector (CHAID), Exhaustive Chi-square Automatic Intera...