Automobile claim datasets in Australia
ausprivauto.Rd
Third party insurance is a compulsory insurance for vehicle owners in Australia. It insures vehicle owners against injury caused to other drivers, passengers or pedestrians, as a result of an accident.
The ausprivauto0405
dataset is based on one-year vehicle insurance
policies taken out in 2004 or 2005. There are 67856 policies, of
which 4624 had at least one claim.
The ausMTPL8486
dataset records the number of third party claims in a
twelve-month period between 1984 and 1986 in each of 176 geographical
areas (local government areas) in New South Wales, Australia.
The ausprivautolong
is a simulated dataset containing counts
of claims for 40 000 policies, for three periods (years). The simulation is based
on a true non-life portfolio.
The risk factors are driver's age and vehicle value. Each policy is regarded
as a cluster, and hence there are 3 x 40 000 = 120 000 records.
Format
ausprivauto0405
is a data frame of 9 columns and 67,856 rows:
Exposure
The number of policy years.
VehValue
The vehicle value in thousand of AUD.
VehAge
The vehicle age group.
VehBody
The vehicle body group.
Gender
The gender of the policyholder.
DrivAge
The age of the policyholder.
ClaimOcc
Indicates occurence of a claim.
ClaimNb
The number of claims.
ClaimAmount
The sum of claim payments.
ausMTPL8486
is a data frame of 7 columns and 176 rows:
LocalGov
The local government area.
StatDiv
The vehicle value in thousand of AUD.
ClaimNb
The number of third-party claims.
AccNb
The number of accidents.
KillInjNb
The number of killed or injured.
Pop
The population size.
PopDens
The population density.
ausprivauto0405
is a data frame of 6 columns and 120,000 rows:
IDpol
The policy identification number.
DrivAge
The age of the policyholder.
VehValue
The vehicle value in thousand of AUD.
Periode
The period number.
ClaimNb
The number of claims.
ClaimOcc
Indicates occurence of a claim.
References
P. De Jong and G.Z. Heller (2008), Generalized linear models for insurance data, Cambridge University Press, doi:10.1017/CBO9780511755408 .