MTPL2

A dataset containing the area, number of claims, exposure,
claim amount, exposure, and premium of 3,000 policyholders

datasets

Functions to build, evaluate, and visualize insurance rating
models. It simplifies the process of modeling premiums, and allows to
analyze insurance risk factors effectively. The package employs a
data-driven strategy for constructing insurance tariff classes, drawing on
the work of Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>.

Martin Haringa

insurancerating

Analytic Insurance Rating Techniques

MTPL2 function

A data frame with 3,000 rows and 6 variables:<dl>
<dt>customer_id</dt>
<dd>customer id</dd><dt>area</dt>
<dd>region where customer lives (0-3)</dd><dt>nclaims</dt>
<dd>number of claims</dd><dt>amount</dt>
<dd>claim amount (severity)</dd><dt>exposure</dt>
<dd>exposure</dd><dt>premium</dt>
<dd>earned premium</dd>
</dl>

Format

Author

Characteristics of 3,000 policyholders in a Motor Third Party Liability
(MTPL) portfolio. — MTPL2

A data frame with 3,000 rows and 6 variables:<dl>
<dt>customer_id</dt>
<dd>customer id</dd>

<dt>area</dt>
<dd>region where customer lives (0-3)</dd>

<dt>nclaims</dt>
<dd>number of claims</dd>

<dt>amount</dt>
<dd>claim amount (severity)</dd>

<dt>exposure</dt>
<dd>exposure</dd>

<dt>premium</dt>
<dd>earned premium</dd>


</dl>

MTPL2: Characteristics of 3,000 policyholders in a Motor Third Party Liability (MTPL) portfolio.

Description

Usage

Arguments

Format

Author