Description: Papers: Multi-Population Longevity Models: A Spatial Random Field Approach– Nhan Huynh, Mike Ludkovski, Ph.D. - University of California at Santa Barbara, Howard Zail - Elucider, LLC. The Application of Affine Processes in Cohort Mortality Risk Models – Zhiping Huang, Michael Sherris, FSA, FIAA, FIA, Andres M. Villegas Ramirez, Ph.D., Jonathan Ziveyi, Ph.D. - UNSW Australia

Description: SOA Taxation Section membership trends and 2018 Survey Results

Description: Come to this networking breakfast for informal discussion of topics of interest to Taxation Section members. A member of the Section Council will report on recent and upcoming activities of the section.

Description: This paper uses a mortality surge model to estimate the total financial impact on the U.S. insurance industry of a flu pandemic. It does not attempt to determine the probability of such a pandemic.

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: These are the slides that go with the paper 'Mortality Modeling using Projection Pursuit Regression.' In that paper, the authors develop sixteen separate mortality models based on the current SOA mortality data being used for the preferred life study. The models are constructed using projection pursuit regression. The sixteen models arise from all combinations of sex, smoker status, select and ultimate status, and per life vs. per dollar mortality rates. In general the models confirm the following four facts: 1 Mortality rates increase as attained age increases. 2 Mortality rates increase as duration increases. 3 Mortality rates decrease as Face Amount Bands increase. 4. Mortality rates decrease if preferred underwriting is present.

Description: This is the abstract of a paper in which the authors develop sixteen separate mortality models based on the current SOA mortality data being used for the preferred life study. The models are constructed using projection pursuit regression. The sixteen models arise from all combinations of sex, smoker status, select and ultimate status, and per life vs. per dollar mortality rates. In general the models confirm the following four facts: 1 Mortality rates increase as attained age increases. 2 Mortality rates increase as duration increases. 3 Mortality rates decrease as Face Amount Bands increase. 4. Mortality rates decrease if preferred underwriting is present.

Description: Abstract for the 2008 ERM Monograph paper, “Estimating Mortality Risk Using Predictive Modeling”

Description: Information on Unusual Provisions in Cash Balance Plans Needed by William Torrie and Thomas P. Edwalds from Pension Section News, February 1999, Issue No. 39.

Description: These are the discussant comments from Session 1A: Data Sources and Analysis from the January 4-6 2017 Living to 100 Symposium in Orlando.