This thesis investigates cause-specific mortality trends in Finland using data from Statistics Finland (https://stat.fi/en). Age- and sex-specific mortality rates for a major cause of death, such as cardiovascular disease, will be analysed using the Lee–Carter model, which separates mortality patterns into age and time components. The model will be used to examine how mortality has changed across age groups and between men and women, and to produce forecasts of future mortality. The accuracy of these forecasts will be evaluated using out-of-sample data.
Required skills: Statistical Inference, Statistical Modelling