Mortality-dynamics

by Katrien Antonio, Bavo Campo and Sander Devriendt.

Course materials for the Advanced Life Insurance Mathematics course taught in academic year 2020-2021 at KU Leuven.

📆 March - June, 2021
🕠 approx. 2-3h per computer lab
📍 Advanced Life Insurance Mathematics class at KU Leuven

Goals of the computer labs

You’ll work through the essential steps of the implementation in R of the concepts discussed in the Advanced Life Insurance Mathematics course.

Schedule and Course Material

The schedule is subject to small changes.

Description	Lecture material	R script
Computer lab 1 - Getting mortality data	sheets data	script
Computer lab 1 - Parametric mortality laws	sheets mortality laws	script
Computer lab 2 - Fitting Lee Carter with iterative LS	sheets iterative LS	script
Computer lab 2 - Fitting Lee Carter with Poisson likelihood	sheets Poisson	script
Computer lab 2 - Forecasting with Lee Carter	sheets forecasting	script
Computer lab 3 - Multiple state models	sheets multi-state	script

Software requirements

Please bring a laptop with a recent version of R and RStudio installed. Make sure you can connect your laptop to the internet (or download the course material one day before the start of the workshop). You will need:

R (at least 3.5.2 https://cloud.r-project.org/bin/windows/base/ )
RStudio ( https://www.rstudio.com/products/rstudio/download/#download )

You should install and load the packages that will be used throughout the workshop. You can use the following instructions to install (if necessary) and load the packages. These instructions are also available in prework_installation_packages.R from the scripts folder.

packages <- c("tidyverse", "demography")
suppressMessages(packages <- lapply(packages, FUN = function(x) {
  if (!require(x, character.only = TRUE)) {
    install.packages(x)
    library(x, character.only = TRUE)
  }
}))

RStudio Cloud

We provide a back-up plan in case your local installation of R (and the necessary packages) is not working properly. Please join our project on RStudio Cloud via the link posted on TOLEDO.

After creating an account for RStudio you will be able to work with the scripts and data sets in the cloud.

Instructor

Katrien Antonio is professor in insurance data science at KU Leuven and associate professor at University of Amsterdam. She teaches courses on data science for insurance, life and non-life insurance mathematics and loss models. Research-wise Katrien puts focus on pricing, reserving and fraud analytics, as well as mortality dynamics.

Let’s go!

You are now ready to load the data and build predictive models for life insurance applications.