Since Chiappori and Salani e (2000), testing for asymmetric information has become tantamount to testing for a positive relation between risk and coverage which is predicted by (equilibrium) models for adverse selection and moral hazard. In this paper we analyze asymmetric information in...

The purpose of this paper is to challenge the conventional theory of moral hazard and adverse selection. Moral hazard and adverse selection problems in contemporary economic theory are plagued with four major flaws: 1) the alleged asymmetrical information between buyer and seller as a problem in...

This article addresses the issue of insurance coverage for commercial enterprises as a consequence of the recent spate of droughts in the southwestern United States. This almost two-decade long drought results from increasing temperatures and climate change. The article posits that damage or...

We analyze optimal insurance design for a risk- and ambiguity-averse policyholder who is uncertain about the distribution of losses and faces linear transaction costs. We use smooth ambiguity preferences, a flexible ambiguity structure, and focus on indemnity schedules that satisfy the principle...

We examine a problem of demand for insurance indemnification, when the insured is sensitive to ambiguity and behaves according to the Maxmin-Expected Utility model of Gilboa and Schmeidler (1989), whereas the insurer is a (risk-averse or risk-neutral) Expected-Utility maximizer. We characterize...

The notion of a Bowley optimum has gained recent popularity as an equilibrium concept in problems of risk sharing and optimal reinsurance. In this paper, we examine the relationship between Bowley optimality and Pareto efficiency in a problem of optimal reinsurance, under fairly general...

Big data, machine learning and AI inverts adverse selection problems. It allows insurers to infer statistical information and thereby reverses information advantage from the insuree to the insurer. In a setting with two-dimensional type space whose correlation can be inferred with big data we...

On-demand insurance is an innovative business model from the InsurTech space, which provides coverage for episodic risks. It makes use of a simple fact in a practical way: People differ in their frequency of exposure as well as the probability of loss. The extra dimension of heterogeneity can be...

Competition between insurance companies for employees of a firm often increases the prices and reduces the availability of high-quality health plans offered to employees. An insurance company can reduce competition by signing an exclusive contract, which guarantees that the company is the only...

Technological progress has improved insurers' ability to monitor policyholders and has led to usage-based insurance (UBI) contracts that incorporate behavioral risk factors in pricing. Economic theory predicts that any informative monitoring signal should be adopted in equilibrium (see Shavell,...