Description: Presented at Living to 100 symposium, January 2011. Using data from Social Security's Death Master File, this study shows that mortality deceleration in humans observed at advanced ages may be an artifact caused by age exaggeration, data heterogeneity or use of improper estimates of hazard rate. The phenomenon of mortality deceleration at older ages vanishes for datasets of higher data quality.

Description: This is the informal discussion transcript for Concurrent Session 2A: Drivers of Future Mortality for the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This is the transcript for Session 5B : What is Different Today for Post-retirement Financial Planning? from the 2017 Living to 100 Symposium in Orlando.

Description: This paper addresses issues and techniques for advanced age mortality study using data mining techniques, a new technology on the horizon with great actuarial potential. Seven factors were considered in this study, the influences of these factors on advanced-age mortality distribution were identified and models were derived for projecting advanced age mortality.

Description: Using Taiwan Complete Life Tables as the data source, a model is developed using reliability theory and the results of the proposed model are compared to Gompertz’s law.

Description: The is the informal discussion transcript from Session 2B: Older Age Mortality Trends from the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This is the informal discussion transcript for concurrent Session 6B: The Changing Face of Elder Care from the January 4-6, 2017 Living to 100 Symposium.

Description: This is the General Session VI transcript on the Senior Citizen in 2050 from the January 4-6, 2017 Living to 100 Symposium in Orlando

Description: This paper examines demographic characteristics of people over the age of 100 in Spain and how this has changed over time.

Description: In this paper we present a large-scale study of the Medicare Part B mortality experience over the entire decade of the 1990's based on the Social Security Administration's Master Beneficiary Record, and featuring an extensive effort to edit the microdata, particularly by comparison with other data files.