On Wednesday afternoon I will be giving a talk at the SCOR Reserving Seminar. The talk will be on modeling analogies in life and nonlife insurance. We will start by discussing data analogies, based on the Lexis diagram in life insurance and in nonlife (when modeling claims dynamics),

This will induce similarities in datasets used in life models, and in nonlife reserving

Further, in the two cases, logPoisson models are usually used, either to model the number of deaths, or the amount of payment. The main difference is that in nonlife insurance, forecasting future payments is rather simple,

But in life models, unfortunately, we need to forecast the behavior of year based parameters.

Note that this is also the case in nonlife insurance when an inflation factor is introduced.
To go further, the slides are available here.