Description: Generalized Mortality Table Analysis: Discussion of the search for alternative mortality tables other than the 1975-80 and 1990-95 tables, which may be more appropriate for a particular company or specific products

Description: A discussion of the need to search for alternative mortality tables other than the 1975- 80 and 1990-95 tables to use as the base table, which may be more appropriate for a particular company or specific products.

Description: Discussion of the development of a new Preneed Valuation Mortality Table

Description: The impact of the underlying mortality table selected as a basis for projecting mortality results

Description: Discussion of the Society of Actuaries Report on Mortality Improvement Survey from March 2003 survey from the summer of 2000

Description: This article describes the mortality tables that the Board of Governors of the Society of Actuaries is recommending to the NAIC as successors to the 1958 CSO Table

Description: a review of a paper by R. H. Daw, F.I.A. entitled “Smallpox and the Double Decrement Table: a piece of actuarial prehistory.”

Description: Discussion of work site mortality— including risk classification and underwriting methodology decisions which affect the appropriate mortality assumptions

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.