data.loss.TA {apc} R Documentation

## Motor data

### Description

Function that organises loss data in `apc.data.list` format.

The data set is taken from Table 1 of Verrall (1991), who attributes the data to Taylor and Ashe (1983). It includes a run-off triangle: "response" (X) is paid amounts (units not reported).

Data also analysed in various papers, e.g. England and Verrall (1999).

The data set is in "CL"-format.

At present `apc.package` does not have functions for either forecasting or for exploiting the counts. For this one can with advantage use the `DCL.package`.

### Usage

`data.loss.TA`

### Value

The value is a list in `apc.data.list` format.

 `response` vector of paid amounts, X `dose` NULL. `data.format` logical. Equal to "CL.vector.by.row". Data organised in vectors. `age1` numeric. Equal to 1. `per1` NULL. Not needed when data.format="CL" `coh1` numeric. Equal to 1. `unit` numeric. Equal to 1. `per.zero` NULL. Not needed when data.format="CL" `per.max` NULL. Not needed when data.format="CL" `time.adjust` 0. Thus age=1 in cohort=1 corresponds to period=1+1-1+0=1. `label` character. "loss TA".

### Author(s)

Bent Nielsen <bent.nielsen@nuffield.ox.ac.uk> 8 Sep 2015 (18 Mar 2015)

### Source

Tables 1 of Verrall (1991).

### References

England, P., Verrall, R.J. (1999) Analytic and bootstrap estimates of prediction errors in claims reserving Insurance: Mathematics and Economics 25, 281-293

Taylor, G.C., Ashe, F.R. (1983) Second moments of estimates of outstanding claims Journal of Econometrics 23, 37-61

Verrall, R.J. (1991) On the estimation of reserves from loglinear models Insurance: Mathematics and Economics 10, 75-80

General description of `apc.data.list` format.

### Examples

```#########################
##	It is convient to construct a data variable

data	<- data.loss.TA()

##	To see the content of the data

data

#########################