A Note on the Impact of Auto Insurance Rate Regulation

1987 ◽  
Vol 69 (1) ◽  
pp. 166 ◽  
Author(s):  
Scott E. Harrington
Risks ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 126
Author(s):  
Shengkun Xie

In insurance rate-making, the use of statistical machine learning techniques such as artificial neural networks (ANN) is an emerging approach, and many insurance companies have been using them for pricing. However, due to the complexity of model specification and its implementation, model explainability may be essential to meet insurance pricing transparency for rate regulation purposes. This requirement may imply the need for estimating or evaluating the variable importance when complicated models are used. Furthermore, from both rate-making and rate-regulation perspectives, it is critical to investigate the impact of major risk factors on the response variables, such as claim frequency or claim severity. In this work, we consider the modelling problems of how claim counts, claim amounts and average loss per claim are related to major risk factors. ANN models are applied to meet this goal, and variable importance is measured to improve the model’s explainability due to the models’ complex nature. The results obtained from different variable importance measurements are compared, and dominant risk factors are identified. The contribution of this work is in making advanced mathematical models possible for applications in auto insurance rate regulation. This study focuses on analyzing major risks only, but the proposed method can be applied to more general insurance pricing problems when additional risk factors are being considered. In addition, the proposed methodology is useful for other business applications where statistical machine learning techniques are used.


Risks ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 42
Author(s):  
Shengkun Xie

Territory design and analysis using geographical loss cost are a key aspect in auto insurance rate regulation. The major objective of this work is to study the design of geographical rating territories by maximizing the within-group homogeneity, as well as maximizing the among-group heterogeneity from statistical perspectives, while maximizing the actuarial equity of pure premium, as required by insurance regulation. To achieve this goal, the spatially-constrained clustering of industry level loss cost was investigated. Within this study, in order to meet the contiguity, which is a legal requirement on the design of geographical rating territories, a clustering approach based on Delaunay triangulation is proposed. Furthermore, an entropy-based approach was introduced to quantify the homogeneity of clusters, while both the elbow method and the gap statistic are used to determine the initial number of clusters. This study illustrated the usefulness of the spatially-constrained clustering approach in defining geographical rating territories for insurance rate regulation purposes. The significance of this work is to provide a new solution for better designing geographical rating territories. The proposed method can be useful for other demographical data analysis because of the similar nature of the spatial constraint.


Author(s):  
Lorilee A. Medders ◽  
Jamie Anderson-Parson ◽  
Matthew Thomas-Reid

There are three goals of insurance rate regulation. Rates must be: 1) adequate; 2) not excessive; and 3) not unfairly discriminatory. Rates that are adequate yet not excessive are overall high enough to pay claims and expenses, yet not so high overall that they result in unreasonable profiteering by insurers. The third regulatory goal—that rates are not unfairly discriminatory—is the topic of interest in our research. The concept of unfair discrimination in an insurance context—determining what constitutes fairness in pricing—can differ substantially from the thinking on fairness in a societal context. As a result, the term “discrimination” may be used quite differently in these two contexts. Discrimination, with negative societal connotations, is endemic in our world broadly and largely unjustifiable, yet in the narrower world of insurance, it is the basis for the entire industry’s viability and sustainability. In the insurance context, we can receive the term “discrimination” in a neutral manner, simply taking it to mean different treatment for different groups having different characteristics, without it necessarily connoting any negative intent or outcome. Indeed, the purpose in insurance for engaging in “fair discrimination” —that is, discrimination that price differentiates between discernibly different levels of risk—is itself rooted in economic fairness. An insurance carrier charges differential prices for its products based on differentials in risk. Nevertheless, when risk transfer to an insurer is priced based on uncontrollable and/or immutable classifications such as race and gender, there can be profoundly different views of what constitutes fairness. In many areas of U.S. law, discrimination on either the basis of gender or sexual identity is prohibited in a number of jurisdictions for a number of consumer situations. Yet the broad concept of societal fairness and the much narrower concept of actuarial fairness differ, and so within insurance markets, U.S. law has historically set insurance apart from other products in speaking to issues of fairness and discrimination (West, 2013). Within the last year, several states have enhanced their recognition of nonbinary or genderqueer identities by implementing a Gender X option on driver’s licenses. Insurance carriers are left with minimal direction on how to appropriately price this emerging class within the three goals of rate regulation. Additionally, as diversity and inclusion continue to be a strategic initiative within the insurance market, the insurance industry and its regulatory environment have to navigate carefully between the business imperatives for adequate pricing and inclusion efforts. This paper addresses the potential for unfair discrimination in some lines of business—with special focus on auto insurance—should gender-based rating be continued into the future. It also explores an immediate opportunity to enhance the insurance industry’s social compact with its insureds via recognition of the Gender X identity. Part I gives a primer on nonbinary and trans-identity followed by a brief history of the role of gender in insurance pricing, Part II discusses nonbinary, transgender, and the introduction of Gender X as an additional categorical level of the gender identify rating factor as used in insurance pricing. Part III and Part IV dive into the economic and social implications of movement in U.S. law toward more gender inclusivity.


1972 ◽  
Vol 39 (4) ◽  
pp. 511 ◽  
Author(s):  
Frederick G. Crane

2008 ◽  
pp. 827-837
Author(s):  
J Kuncová ◽  
Š Faitová ◽  
J Capouch ◽  
M Štengl ◽  
J Slavíková

Vasoactive intestinal polypeptide (VIP) is implicated in the modulation of vagal effects on the heart rate. In this study, the impact of acute and chronic atropine administration on VIP levels in rat heart atria was investigated in relation to heart rate in the course of vagus nerves stimulation. Anaesthetised control and atropinised (10 mg/kg/day for 10 days) rats pretreated with metipranolol and phentolamine that were either given or not a single dose of atropine were subjected to bilateral vagus nerve stimulation (30 min: 0.7 mA, 20 Hz, 0.2 ms). VIP concentrations in the atria were determined after each stimulation protocol. In control rats with or without single atropine administration, the heart rate upon vagal stimulation was higher than in atropinised animals with or without single atropine dose, respectively. VIP concentrations in the control atria were significantly decreased after the stimulation; the decrease was comparable both in the absence and presence of a single dose of atropine. Compared to controls, VIP levels were significantly decreased after chronic atropine treatment and they were not further reduced by vagal stimulation and single atropine administration. Administration of VIP antagonist completely abolished the differences in the heart rate upon vagal stimulation between control and atropinised groups. In conclusion, the data indicate that chronic atropine administration affects VIP synthesis in rat heart atria and consequently it modifies the heart rate regulation.


2005 ◽  
Vol 39 (2-3) ◽  
pp. 473-489
Author(s):  
Bruce Feldthusen

Ontario has changed its no-fault legislation substantially three times in the past decade. These changes have reflected the interest group lobbying of the insurance industry and the practising bar. However, the main and explicit motivation, especially for the latest revision, has been the government's desire to regulate rates. With the Automobile Insurance Rate Stability Act the government appears to have struck a very successful compromise. The lawyers have been allowed an increased, albeit limited, right to sue in tort. The insurers have achieved more certainty, with stricter time and monetary limits on benefits for non-catastrophic injury. Rates have been reduced in part through lower benefit levels, but primarily by throwing the cost of automobile accidents on to other collateral sources. There is, therefore, some subsidization of driving inherent in the legislation. There are also compensation gaps, especially in long term health care, that affect mainly the most vulnerable members of society. Both these shortcomings could and should be easily corrected. So far, it would appear that the politics of rate regulation have generated an improved no-fault automobile accident compensation scheme for Ontario.


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