MTPL

A dataset containing the age, number of claims, and exposure of almost 33,000 policyholders

datasets

Methods for insurance rating. It helps actuaries to implement GLMs within all relevant steps needed to construct
a risk premium from raw data. It provides a data driven strategy for the construction of insurance tariff classes.
This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. It also provides recipes
on how to easily perform one-way, or univariate, analyses on an insurance portfolio. In addition it adds functionality
to include reference categories in the levels of the coefficients in the output of a generalized linear regression analysis.

Martin Haringa

insurancerating

Analytic Insurance Rating Techniques

MTPL function

A data frame with 32,731 rows and 4 variables:<dl class="dl-horizontal">
 <dt>age_policyholder</dt><dd>age of policyholder, in years.</dd>
 <dt>nclaims</dt><dd>number of claims.</dd>
 <dt>exposure</dt><dd>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.</dd>
 <dt>amount</dt><dd>claim amount in Euros.</dd>
</dl>

Format

Ages of 32,731 policyholders in a Motor Third Party Liability (MTPL) portfolio. — MTPL

A data frame with 32,731 rows and 4 variables:<dl class='dl-horizontal'>
 <dt>age_policyholder</dt><dd>age of policyholder, in years.</dd>
 <dt>nclaims</dt><dd>number of claims.</dd>
 <dt>exposure</dt><dd>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.</dd>
 <dt>amount</dt><dd>claim amount in Euros.</dd>
</dl>

MTPL: Ages of 32,731 policyholders in a Motor Third Party Liability (MTPL) portfolio.

Description

Usage

Arguments

Format