Description: We propose an age-shift model to modify the LC model and deal with the problem of parameters. The proposed method attains smaller estimation errors with respect to mean absolute percentage error or mean square error. We also apply the proposed age-shift model to the mortality rates of these four countries to evaluate the longevity risk in annuity products by measuring life expectancy.

Description: This study covers all standard regular Ordinary issues of 1919 through 1951 exposed between 1948 and 1952 anniversaries, issued by the Prudential Insurance Company. There is a comparison of male to female mortality.

Description: This is a discussion on the paper of the same name.

Description: Transcript of the Q&A period from Session 4B. Papers presented: Typology and Review of Measures of Human Aging, Longevity and Superlongevity with Applications to US Data and Some Implications for US Public Programs and, Mortality Measurements at Advanced Ages: A Study of the Social Security Master Death File

Description: This paper presents mortality rates by sex at ages 90 and above for persons who received retired worker benefits from the social security program for the first month that such benefits were paid. Followed by a discussion paper

Description: This article describes techniques and models used to forecast mortality improvement and the considerations that underlie long-term mortality improvement projections in the United States.

Description: Discussion on Living to 100 Session 4A. Papers presented: Inference for Logistic-type models for the Force of Mortality and, Predictive Modeling for Advanced Age Mortality

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