SingaporeAuto: Singapore Automobile Claims

In insuranceData: A Collection of Insurance Datasets Useful in Risk Classification in Non-life Insurance.

Description

The data is from the General Insurance Association of Singapore, an organization consisting of general (property and casualty) insurers in Singapore (see the organization's website: www.gia.org.sg). From this database, several characteristics are available to explain automobile accident frequency. These characteristics include vehicle variables, such as type and age, as well as person level variables, such as age, gender and prior driving experience.

Usage

data(SingaporeAuto)

Format

A data frame with 7483 observations on the following 15 variables.

SexInsured

a factor with levels F M U

Female

a numeric vector

VehicleType

a factor with levels A G M P Q S T W Z

PC

a numeric vector

Clm_Count

a numeric vector

Exp_weights

a numeric vector

LNWEIGHT

a numeric vector

NCD

a numeric vector

AgeCat

a numeric vector

AutoAge0

a numeric vector

AutoAge1

a numeric vector

AutoAge2

a numeric vector

AutoAge

a numeric vector

VAgeCat

a numeric vector

VAgecat1

a numeric vector

Details

http://instruction.bus.wisc.edu/jfrees/jfreesbooks/Regression%20Modeling/BookWebDec2010/

DataDescriptions.pdf

Source

http://instruction.bus.wisc.edu/jfrees/jfreesbooks/Regression%20Modeling/BookWebDec2010/data.html

References

Frees E.W., Valdez E.A. (2008), Hierarchical insurance claims modeling, ,,Journal of the American Statistical Association", 103(484), p. 1457-1469.

Frees E.W. (2010), Regression Modeling with Actuarial and Financial Applications, Cambridge University Press.

Examples

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

Example output

insuranceData documentation built on May 2, 2019, 4:01 p.m.