Motorcycle Insurance

Description

The data for this case study comes from the former Swedish insurance company Wasa, and concerns partial casco insurance, for motorcycles this time. It contains aggregated data on all insurance policies and claims during 1994-1998; the reason for using this rather old data set is confidentiality; more recent data for ongoing business can not be disclosed.

Usage

data(dataOhlsson)

Format

A data frame with 64548 observations on the following 9 variables.

agarald

The owners age, between 0 and 99, a numeric vector

kon

The owners age, between 0 and 99, a factor with levels K M

zon

Geographic zone numbered from 1 to 7, in a standard classification of all Swedish parishes, a numeric vector

mcklass

MC class, a classification by the so called EV ratio, defined as (Engine power in kW x 100) / (Vehicle weight in kg + 75), rounded to the nearest lower integer. The 75 kg represent the average driver weight. The EV ratios are divided into seven classes, a numeric vector

fordald

Vehicle age, between 0 and 99, a numeric vector

bonuskl

Bonus class, taking values from 1 to 7. A new driver starts with bonus class 1; for each claim-free year the bonus class is increased by 1. After the first claim the bonus is decreased by 2; the driver can not return to class 7 with less than 6 consecutive claim free years, a numeric vector

duration

the number of policy years, a numeric vector

antskad

the number of claims, a numeric vector

skadkost

the claim cost, a numeric vector

Details

The dataset "mccase.txt"

Source

http://people.su.se/~esbj/GLMbook/case.html

References

Ohlsson E., Johansson B. (2010), Non-life insurance pricing with generalized linear models, Springer

Examples

data(dataOhlsson)
## maybe str(dataOhlsson) ; plot(dataOhlsson) ...