Description: Panelists discuss the results of the SOA's Intercompany Experience Study dealing with long-term-care insurance. From the Record of the Society of Actuaries, Vol. 25, No. 2.

Description: First article in a series that walks through the progression from developing LTC assumptions using traditional methods to doing so using predictive analytics.

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

Description: This paper proposes a new method to price the longevity risk premia in order to tackle the pricing obstacle. Based on the equivalent utility pricing principle, our method obtains the minimum risk premium required by the longevity insurance seller and the maximum acceptable risk premium by the longevity insurance buyer.

Description: Discussion of a newly released LTC experience study, including description of data and its increased scope compared to the prior report, reporting specifications, and findings.

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

Description: This study identifies large categories of conditions that long-term care insurance LTCI carriers previously might have avoided because of a lack of data. This study estimates claims, mortality, and lapse rates for several conditions. Many of the conditions are further analyzed into risk categories, some of which would be insurable at standard rates.

Description: This report is to estimate the burden of chronic disability on the U.S. elderly population, using unisex and sex-specific measures of long-term care service use, intensity and costs. It discusses disability prevalence, incidence, duration, and long-term care intensity and cost.

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

Description: Following up on recent articles on claim reserves and retrospective testing, this article examines some data quality and methodology issues related to calculating LTCI claim reserves.