Description: The basics and importance of the utilization assumption for long-term care insurance.

Description: Restoration of Benefits ROB: the provision of a long-term care policy that allows policyholders to restore their maximum benefit period after they have used some or nearly all of their policy benefits to pay for a covered claim event. This is a provision that should be managed closely.

Description: Runoff LTC blocks present a wide range of business risks. Outsourcing certain tasks to third parties can help mitigate these risks.

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: Today, a plethora of tools and approaches exist to develop lifetime projections of long-term care (LTC) business. Within these tools lie two distinct approaches to project mortality; namely, by using assumptions that are applied: (1) to an all-lives exposure base, or (2) separately for disabled- versus active-lives exposure bases. Using disabled versus active mortality allows for more granular modeling of the two different cohorts that exhibit dramatically different mortality. And so, when using an all-lives mortality assumption, is the projection missing important details about the appropriate mortality level? This article seeks to not only answer this question, but also answer how a “traditional” all-lives mortality assumption can be impacted when you introduce a combination of the two modeling techniques into the development of a mortality assumption. To answer these questions, we examined the experience and results developed from one c ompany as an illustrative case study.

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

Description: Panelists discuss the pros and cons of using a care manager in order to receive either benefits or enhanced benefits in long term care plans. From the Record of the Society of Actuaries, Vol. 24, No. 2.

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

Description: This article is the first installment of a three-part series and is focused on providing an overview of LTC modeling approaches and considerations.

Description: This article discusses secondary factors that affect pricing and long-term care claims experience gender, marital status, region, product type, distribution, and education.