IndustryAuto: Auto Industry

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

Description

The data represent industry aggregates for private passenger auto liability\/medical coverages from year 2004, in millions of dollars. They are based on insurance company annual statements, specifically, Schedule P, Part 3B. The elements of the triangle represent cumulative net payments, including defense and cost containment expenses.

Usage

data(IndustryAuto)

Format

A data frame with 55 observations on the following 3 variables.

Incurral.Year

The year in which a claim has been incurred, a numeric vector

Development.Year

The number of years from incurral to the time when the payment is made, a numeric vector

Claim

Cumulative net payments, including defense and cost containment expenses, 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. (2010), Regression Modeling with Actuarial and Financial Applications, Cambridge University Press.

Wacek M.G. (2007), A Test of Clinical Judgment vs. Statistical Prediction in Loss Reserving for Commercial Auto Liability, in: Casualty Actuarial Society Forum, p. 371-404.

Examples

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

Example output

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