Development of a Strengths-Based Model for Insurance Automobile, Property, and Casualty Claims Operations

ABSTRACT \ Employers know that to have a successful organization, they must have the right people in the right jobs. But how will they know whom to place where? The development of a model based upon an individual's personality traits and strengths, and how to best use them, is a good place to start. Employees working in positions in which their traits and strengths are maximized enjoy work more, are more efficient, and are less apt to be absent or to look for work elsewhere. It is a mutually beneficial process of selection for both employers and employees. This model illustrates the process in an automobile and property insurance claims operation through utilization of the Myers-Briggs Type Indicators and the StrengthsFinder Profiles.

Private passenger automobile insurance : premiums filed with the Department of Insurance /

"January 1990."

Automobile marketing practices: finance and insurance. Hearings before a subcommittee of the Committee on Interstate and Foreign Commerce, United States Senate, Eighty-fifth Congress, first session, pursuant to S. Res. 26, a resolution to investigate certain problems relating to interstate and foreign commerce ...

Hearings held Mar.18, 1957-Aug.7, 1958.

"Full aid" insurance for the traffic victim; a voluntary compensation plan.

Mode of access: Internet.

Compulsory motor vehicle liability insurance.

"Legislative Research Unit research response."

Personal lines premiums in Illinois : results of a survey of private passenger automobile and homeowners insurers.

"November 1991."

Insurance discounts : traffic safety tips.

Mode of access: Internet.

145th Annual Report of the Insurance Division, August 2015

Annual report on the insurance industry. Preliminary material outlines Insurance Division activities generally. The statistical tables reflect in detail the financial condition of all insurance companies licensed to do business in Iowa, based on their sworn annual statements covering the twelve-month period beginning January 1, 2014, and ending December 31, 2014, filed with the Division.

New strategy can improve process for recovering certain medical care costs, Department of Defense : report to the Congress /

"B-133142."

Testing for Hidden Information and Action in Automobile Insurance Market

I test the presence of hidden information and action in the automobile insurance market using a data set from several Colombian insurers. To identify the presence of hidden information I find a common knowledge variable providing information on policyholder s risk type which is related to both experienced risk and insurance demand and that was excluded from the pricing mechanism. Such unused variable is the record of policyholder s traffic offenses. I find evidence of adverse selection in six of the nine insurance companies for which the test is performed. From the point of view of hidden action I develop a dynamic model of effort in accident prevention given an insurance contract with bonus experience rating scheme and I show that individual accident probability decreases with previous accidents. This result brings a testable implication for the empirical identification of hidden action and based on that result I estimate an econometric model of the time spans between the purchase of the insurance and the first claim, between the first claim and the second one, and so on. I find strong evidence on the existence of unobserved heterogeneity that deceives the testable implication. Once the unobserved heterogeneity is controlled, I find conclusive statistical grounds supporting the presence of moral hazard in the Colombian insurance market.

The United Kingdom automobile insurance market. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

State no-fault automobile insurance experience 1971-1977.

Mode of access: Internet.

Oregon directory of fire, automobile (fire), life and miscellaneous insurance agents and companies represented ...

Compiled by the Insurance Commissioner.

Loss risk through fraud in car insurance

Our objective is to analyse fraud as an operational risk for the insurance company. We study the effect of a fraud detection policy on the insurer's results account, quantifying the loss risk from the perspective of claims auditing. From the point of view of operational risk, the study aims to analyse the effect of failing to detect fraudulent claims after investigation. We have chosen VAR as the risk measure with a non-parametric estimation of the loss risk involved in the detection or non-detection of fraudulent claims. The most relevant conclusion is that auditing claims reduces loss risk in the insurance company.

Mixture of bivariate Poisson regression models with an application to insurance

In a recent paper Bermúdez [2009] used bivariate Poisson regression models for ratemaking in car insurance, and included zero-inflated models to account for the excess of zeros and the overdispersion in the data set. In the present paper, we revisit this model in order to consider alternatives. We propose a 2-finite mixture of bivariate Poisson regression models to demonstrate that the overdispersion in the data requires more structure if it is to be taken into account, and that a simple zero-inflated bivariate Poisson model does not suffice. At the same time, we show that a finite mixture of bivariate Poisson regression models embraces zero-inflated bivariate Poisson regression models as a special case. Additionally, we describe a model in which the mixing proportions are dependent on covariates when modelling the way in which each individual belongs to a separate cluster. Finally, an EM algorithm is provided in order to ensure the models’ ease-of-fit. These models are applied to the same automobile insurance claims data set as used in Bermúdez [2009] and it is shown that the modelling of the data set can be improved considerably.