A comprehensive auto insurance policy usually provides the broadest protection for the most common events for which the policyholder would file a claim. On the other hand, some insurers offer extended third-party car insurance to adapt to the personal needs of every policyholder. The extra...

When modelling insurance claim count data, the actuary often observes overdispersion and an excess of zeros that may be caused by unobserved heterogeneity. A common approach to accounting for overdispersion is to consider models with some overdispersed distribution as opposed to Poisson models....

A comprehensive auto insurance policy usually provides the broadest protection for the most common events for which the policyholder would file a claim. On the other hand, some insurers offer extended third-party car insurance to adapt to the personal needs of every policyholder. The extra...

This paper analyzes the impact of rate regulation on the structure of insurance markets for private passenger automobile insurance. The paper argues that states' restrictions on automobile insurers' rates of return will distort the structure of the market by distorting insurers' entry and output...

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous...

This paper tests for regulation-induced adverse selection in the Massachusetts automobile insurance market during the regulated period 1990-2005. The paper demonstrates the application of the Poterba-Finkelstein (2014) unused-observables test for adverse selection in a regulated insurance market...

A key argument for providing unauthorized immigrants with driver licenses is that such policies are expected to increase auto insurance uptake and lower premiums. The paper tests this expectation in the context of California's Assembly Bill (AB) 60, which gave about 2.6 million unauthorized...

When modelling insurance claim count data, the actuary often observes overdispersion and an excess of zeros that may be caused by unobserved heterogeneity. A common approach to accounting for overdispersion is to consider models with some overdispersed distribution as opposed to Poisson models....

Kfz-Versicherungen können durch aktives Schadenmanagement die Kosten senken sowie die Kundenzufriedenheit und Kundenbindung steigern. Dies gilt auch im Rahmen des betrieblichen Flottenmanagements, das in diesem Beitrag behandelt wird. Vor diesem Hintergrund ist es wichtig, die Kundenerwartungen...

This article presents the Poisson-Inverse Gamma regression model with varying dispersion for approximating heavy-tailed and overdispersed claim counts. Our main contribution is that we develop an Expectation-Maximization (EM) type algorithm for maximum likelihood (ML) estimation of the...

In this paper, a flexible count regression model based on a bivariate compound Poisson distribution is introduced in order to distinguish between different types of claims according to the claim size. Furthermore, it allows us to analyse the factors that affect the number of claims above and...

We analyzed real telematics information for a sample of drivers with usage-based insurance policies. We examined the statistical distribution of distance driven above the posted speed limit—which presents a strong positive asymmetry-using quantile regression models. We found that, at different...

This article examines the relationship between observed claim frequencies in the automobile insurance line and the evolution of selected economic magnitudes. From a variety of economic variables, we aim to identify the main factors affec - ting claim frequencies, while controlling for other...

Adverse selection and moral hazard are different types of information asymmetry in the insurance market, but their empirical evidence cannot be separated using the traditional positive risk-coverage correlation test. In this paper, we use a new method to disentangle adverse selection and moral...

New technologies have enabled firms to elicit granular behavioral data from consumers in exchange for lower prices and better experiences. This data can mitigate asymmetric information and moral hazard, but it may also increase firms' market power if kept proprietary. We study a voluntary...

Based on a unique data set of driving behavior we test whether private information in driving characteristics has significant effects on contract choice and risk in automobile insurance. We define a driving-factor based on overall distance driven, number of car rides, and speeding. Using local...

This study quantifies the importance of private information, separates the extent to which the positive correlation between the accident probability and insurance coverage reflects adverse selection and moral hazard, and analyzes market segmentation on objective accident risk. We use data we...

In the classical bonus-malus system the premium assigned to each policyholder is based only on the number of claims made without having into account the claims size. Thus, a policyholder who has declared a claim that results in a relatively small loss is penalised to the same extent as one who...

For automobile insurance, it has long been implied that when a policyholder made at least one claim in the prior year, the subsequent premium is likely to increase. When this happens, the policyholder may seek to switch to another insurance company to possibly avoid paying for a higher premium....

Predictive modeling is a key technique in auto insurance rate-making and the decision-making involved in the review of rate filings. Unlike an approach based on hypothesis testing, the results from predictive modeling not only serve as statistical evidence for decision-making, they also discover...

Using a generalized linear model to determine the claim frequency of auto insurance is a key ingredient in non-life insurance research. Among auto insurance rate-making models, there are very few considering auto types. Therefore, in this paper we are proposing a model that takes auto types into...

Introduction -- Tort Law and Autonomous Vehicles, in Theory and Practice -- Stakeholder Assessments of Models for Insuring Autonomous Vehicles -- International Models for Insuring Autonomous Vehicles -- Assessing the Impact That Technologies for Autonomous Vehicles Can Have on Auto Insurance...

The present paper investigates the adverse selection problem by examining the relationship between accident occurrences and deductible choice utilizing a seemingly unrelated probit model that allows for best controls for unobserved heterogeneity and endogeneity. While this microeconometric...

The presence of a heavy truck on the road can impose an externality if accidents occur that would not have otherwise. We find each additional truck on the road increases the risk of a truck accident – but also, at an even higher rate, the risk of a car-on-car collision. Our estimates imply two...

Pay-as-you-drive (PAYD), or usage-based automobile insurance (UBI), is a policy agreement tied to vehicle usage. In this paper we analyze the effect of the distance traveled on the risk of accidents among young drivers with a PAYD policy. We use regression models for survival data to estimate...

This paper empirically tests the divergent expectations model of pre-trial bargaining by exploiting variation in tort liability for bad faith insurance law. Using a repeated cross-sectional dataset of auto insurance claims from the Insurance Research Council, it estimates that the tort remedy...