Description: New for 2017, we are introducing a series of articles by experienced industry professionals who are relatively new to long-term care (LTC).

Description: Using the Cox proportional Hazards Model to improve underwriting debits and credits.

Description: This is a discussion of the paper, On Computing the Probability that Exactly k of n Independent Events will Occur by Robert P. White and T. N. E. Greville. From Transactions of Society of Actuaries 1959, Vol. 11, No. 29 AB.

Description: This paper presents the modeling of mortality risk from exposure to a potential future extreme event such as a natural disaster and a terrorist attack, and its impact on life insurance. With this new model, quantities associated with the total force of mortality such as survival function are derived and the impact of mortality risk on life insurance is examined.

Description: This abstract describes a paper that measures the magnitude of the systematic bias, found when using the Lee-Carter model for mortality prediction, using the bootstrap method and also provides suggestions on how to correct the bias.

Description: Higlights from the 1977 volume of TSA Reports, including Standard Ordinary mortality ratios, an intercompany study of accidental death benefit experience, and reports from the committees on various lines of insurance.

Description: The author discusses arguments for the appropriate methods for determining exposure and mortality rates, quoting the actuarial literature back to 1898. From ‘The Actuary’ Volume 15, No. 3.

Description: Group life insurance mortality experience report covering years 1946-1950.

Description: Accelerated underwriting programs continue to evolve at a rapid pace. Triage systems have become a key element in many of the newer accelerated underwriting programs in the market. Depending on the criteria used at the triage point, these programs can have residual effects on class prevalence and mortality which in turn affect the profitability of these programs. In this article we will explore some potential impacts on mortality and prevalence within these programs.