qx_iamb

scale_g2

Mortality rates and mortality improvement rates from the 2012 Individual
Annuity Mortality Basic (IAMB) Table and Projection Scale G2.

datasets

Experience studies are used by actuaries to explore historical
experience across blocks of business and to inform assumption setting
activities. This package provides functions for preparing data, creating
studies, visualizing results, and beginning assumption development.
Experience study methods, including exposure calculations, are described in:
Atkinson & McGarry (2016) "Experience Study Calculations"
<https://www.soa.org/49378a/globalassets/assets/files/research/experience-study-calculations.pdf>.
The limited fluctuation credibility method used by the 'exp_stats()'
function is described in: Herzog (1999, ISBN:1-56698-374-6)
"Introduction to Credibility Theory".

Matt Heaphy

actxps

Create Actuarial Experience Studies: Prepare Data, Summarize
Results, and Create Reports

qx_iamb function

For the 2012 IAMB table, a data frame with 242 rows and 3 columns:<dl>
<dt>age</dt>
<dd>Attained age</dd><dt>qx</dt>
<dd>Mortality rate</dd><dt>gender</dt>
<dd>Female or Male</dd>
</dl>For the Projection Scale G2 table, a data frame with 242 rows and 3 columns:<dl>
<dt>age</dt>
<dd>Attained age</dd><dt>mi</dt>
<dd>Mortality improvement rate</dd><dt>gender</dt>
<dd>Female or Male</dd>
</dl>

Format

2012 Individual Annuity Mortality Table and Projection Scale G2 — qx_iamb

For the 2012 IAMB table, a data frame with 242 rows and 3 columns:<dl>
<dt>age</dt>
<dd>Attained age</dd>

<dt>qx</dt>
<dd>Mortality rate</dd>

<dt>gender</dt>
<dd>Female or Male</dd>


</dl>

For the Projection Scale G2 table, a data frame with 242 rows and 3 columns:<dl>
<dt>age</dt>
<dd>Attained age</dd>

<dt>mi</dt>
<dd>Mortality improvement rate</dd>

<dt>gender</dt>
<dd>Female or Male</dd>


</dl>

qx_iamb: 2012 Individual Annuity Mortality Table and Projection Scale G2

Description

Usage

Arguments

Format