Optimal insurance contract design with "No-claim Bonus and Coverage Upper Bound" under moral hazard. (15th September 2021)

• Record Type: Journal Article
• Authors: MA, Benjiang; Zhang, Yechun; Qin, Yifang; Bashir, Muhammad Farhan
• Is Part Of: Expert systems with applications. Volume 178(2021)
• Publication Date: 2021-09-15
• Subjects: Moral hazard -- No-claim bonus -- Coverage upper bound -- Insurance contract design; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2021.115050
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: The paper creates a new contract with "No-claim Bonus and Coverage Upper Bound" Analyze the welfare increase brought by the suppression of moral hazard. A sufficient condition is given to describe the condition of application. Two cases are used to demonstrate Pareto improvement of the new contract. Abstract: In this paper, an optimal insurance problem from the view of a risk-averse individual under moral hazard is considered. Based on the Principal-Agent theory, we introduce a combined incentive tool of "No-claim Bonus and Coverage Upper Bound" to encourage the insured to make a higher risk-reducing effort and obtain higher expected utility than in a basic contract. We confirm if marginal expected utility brought by the increase of risk-reducing effort decreases at the critical point of transition between two contracts, the combined incentive tool can restrain the moral hazard of the insured. Moreover, Pareto efficiency improvement of the tool is visually displayed by two case examples.