MTPL: Characteristics of 30,000 policyholders in a Motor Third...
In MHaringa/actuarialpricing: Analytic Insurance Rating Techniques
MTPL R Documentation
Characteristics of 30,000 policyholders in a Motor Third Party Liability
(MTPL) portfolio.
Description
A dataset containing the age, number of claims, exposure,
claim amount, power, bm, and region of 30,000 policyholders.
Usage
MTPL
Format
A data frame with 30,000 rows and 7 variables:
- age_policyholder
age of policyholder, in years.
- nclaims
number of claims.
- exposure
exposure, for example, if a vehicle is insured as of
July 1 for a certain year, then during that year, this would represent an
exposure of 0.5 to the insurance company.
- amount
claim amount in Euros.
- power
engine power of vehicle (in kilowatts).
- bm
level occupied in the 23-level (0-22) bonus-malus scale (the
higher the level occupied, the worse the claim history).
- zip
region indicator (0-3).
Author(s)
Martin Haringa
Source
The data is derived from the portfolio of a large Dutch motor
insurance company.
MHaringa/actuarialpricing documentation built on Jan. 11, 2024, 1:13 a.m.
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| MTPL | R Documentation |
Characteristics of 30,000 policyholders in a Motor Third Party Liability (MTPL) portfolio.
Description
A dataset containing the age, number of claims, exposure, claim amount, power, bm, and region of 30,000 policyholders.
Usage
MTPL
Format
A data frame with 30,000 rows and 7 variables:
- age_policyholder
age of policyholder, in years.
- nclaims
number of claims.
- exposure
exposure, for example, if a vehicle is insured as of July 1 for a certain year, then during that year, this would represent an exposure of 0.5 to the insurance company.
- amount
claim amount in Euros.
- power
engine power of vehicle (in kilowatts).
- bm
level occupied in the 23-level (0-22) bonus-malus scale (the higher the level occupied, the worse the claim history).
- zip
region indicator (0-3).
Author(s)
Martin Haringa
Source
The data is derived from the portfolio of a large Dutch motor insurance company.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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