Description: As a life reinsurer, understanding mortality risk is mission critical. Superior models of mortality risk lead to more competitive pricing in profitable market segments and more efficient use of capital. Surprisingly, modern statistical tools such as predictive modeling have not previously been used to model mortality data to gain this edge. In this paper, we present the use of a predictive modeling technique called projection pursuit regression PPR to model mortality data. We first describe the process of creating a PPR model using inter-company mortality data collected by the Individual Life Experience Committee of the Society of Actuaries, and present the resulting model. We then discuss the process of using this model as a starting point for creating a more detailed PPR model of internal company mortality data.

Description: In this paper, we study a survival regression model known as Cox's proportional Hazards model. We assume that the data available are already grouped and develop a minimum distance estimation procedure that is also applicable when the data are also left or right censored. Asymptotic properties of the estimators are established and the numerical implementation of the method based on an iterated reweighted least squares algorithm is discussed.

Description: This workbook has been developed by the SOA's Group Life Experience Study Committee to assist companies wishing to perform their own analysis of the data in the 2013 study.

Description: This article discusses the details of being classified as cognitively impaired, particularly the relationship between being classified as cognitively impaired and subsequent mortality experience and the effect of cognitive impairment on mortality rates.

Description: This article discusses the comparative results from the SOA Mortality Table Structure survey. From Reinsurance Section News, November 2007, Issue No. 61.

Description: This workbook has been developed by the SOA's Group Life Experience Study Committee to assist companies wishing to perform their own analysis of the data in the 2013 study.

Description: This paper discusses a general model for calculating life contingencies including formulation of the model and net reserves and contingency reserves.

Description: Actuarial literature in the twenty-five years includes discussions of a well known inequality. Among the recent papers on various aspects of this classic result are those by Berin 1970, Olson 1975 and Sarason 1960. A standard method for achieving this inequality uses Jensen's inequality. This is the method used by Bowers, et al 1983. We will also employ this method in an attempt to learn about it.

Description: This is Mr. Hilary L. Seal's response letter to Editor Arnold F. Shapiro in regards to the 1983.1 ARCH's document on number of deaths observed in a mortality study.

Description: Demography is a very exciting subject. With a simple mathematical model, students can project a country's population forward 25, 59, 75 even 100 years. This paper will focus on six ideas from demography. They all can be useful to an actuary, yet none of them would be considered at any length if the actuary didn’t study demography.