Description: A Discussion of why female mortality is higher than male mortality at higher ages.

Description: New for 2017, we are introducing a series of articles by experienced industry professionals who are relatively new to long-term care (LTC).

Description: A recent Society of Actuaries study calculates safety and stability for current Long Term Care Insurance premiums.

Description: New for 2017, we are introducing a series of articles by experienced industry professionals who are relatively new to long-term care (LTC).

Description: Presented at Living to 100 symposium, January 2002. This is a report of a study in which the Cox proportional hazard model, a widely used survival analysis tool, was applied to profiling the mortality of an insured advanced-age population. The data was derived from 14 US insurers. This data represents policies issued between 01/01/1997 and 12/31/2000 to policyholders of age 60 or older. The major study results include measures of mortality, variations by selected risk factors, estimated mortality experience of the underlying population, and a comparison of mortality experience estimated by direct calculation, the Society of Actuaries’ SOA 1990-95 mortality study, and our extended Cox modeling technique.

Description: Recently completed experience and research studies from the SOA.

Description: Second article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.

Description: State regulators' review of predominant LTC Risks after review of year-end AG51 reports.

Description: Transcript of the Q&A period from Session 5A. The paper presented proposes a new method to price the longevity risk premia in order to tackle the pricing obstacle.

Description: An article from The Actuary that highlights the strategic importance of inter-company mortality studies. Broad-based mortality studies form the backbone of the life actuarial profession. However, few companies have sufficient exposure or deaths to construct their own mortality table. Even is some large companies have enough data, there is still a vast majority of companies that do not. Historically, the void has been filled by means of inter-company studies.