The Effect of Liability Environment on Tort System Costs: Evidence from Automobile Insurance

2005 ◽  
Author(s):  
Robert E. Hoyt ◽  
Lawrence S. Powell
2005 ◽  
Vol 39 (2-3) ◽  
pp. 335-370
Author(s):  
Jeffrey Schnoor

In 1993, Manitoba followed Quebec's lead and became the second jurisdiction in North America to abolish the traditional tort system and adopt a pure no-fault compensation plan for victims of automobile accidents; the plan has been in operation since 1994. This paper begins with an examination of some of the events which led to this reform. It then reviews the scope of the plan (including consideration of a judgment of the Manitoba Court of Appeal on the subject) and gives an overview of the plan's operation, including the compensation provided by it and the provisions for review and appeal of decisions. At the end of the paper, an addendum summarizes (and briefly comments on) a review of the no-fault plan which was released following the completion of the paper.


2019 ◽  
Vol 64 (2) ◽  
pp. 53-71
Author(s):  
Botond Benedek ◽  
Ede László

Abstract Customer segmentation represents a true challenge in the automobile insurance industry, as datasets are large, multidimensional, unbalanced and it also requires a unique price determination based on the risk profile of the customer. Furthermore, the price determination of an insurance policy or the validity of the compensation claim, in most cases must be an instant decision. Therefore, the purpose of this research is to identify an easily usable data mining tool that is capable to identify key automobile insurance fraud indicators, facilitating the segmentation. In addition, the methods used by the tool, should be based primarily on numerical and categorical variables, as there is no well-functioning text mining tool for Central Eastern European languages. Hence, we decided on the SQL Server Analysis Services (SSAS) tool and to compare the performance of the decision tree, neural network and Naïve Bayes methods. The results suggest that decision tree and neural network are more suitable than Naïve Bayes, however the best conclusion can be drawn if we use the decision tree and neural network together.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mahito Okura ◽  
Takuya Yoshizawa ◽  
Motohiro Sakaki

AbstractThe purpose of this research is to evaluate the new Japanese Bonus–Malus System (BMS 2012) in automobile insurance, which is an unusual system wherein both no-claim and claimed subclasses exist. To evaluate BMS 2012, we conduct a simulation analysis and compare BMS 2012 with the former Japanese BMS (BMS 2009) in terms of the present value of the total insurance premium that is closely related to the frequency of insurance claims. Based on the comparison, our main conclusion is that BMS 2012 offers more effects to lower the frequency of insurance claims than BMS 2009 does when the policyholders’ classes in BMS are high classes that evaluate as safety drivers, time discount and/or renewal rates are relatively low, and the policyholders’ risk averseness is large.


2020 ◽  
Vol 11 (1) ◽  
pp. 37-56
Author(s):  
Françoise Auvray

AbstractThis contribution deals with the wrongful behaviour of public authorities, in this case in particular the Belgian State, and delves into a challenge that the multi-levelled legal order poses for the national tort system. It inquires how the violation of an international treaty relates to liability in the national legal system. More specifically, the author examines if it is necessary, when dealing with state liability, to limit the concept of fault to the infringements of international treaties with direct effect, excluding the violation of those without such effect.


1985 ◽  
Vol 73 (3) ◽  
pp. 747
Author(s):  
Richard A. Posner
Keyword(s):  

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