Description: A follow-up to the first Preferred Class Structure Report, which contains the additional analysis of areas identified while preparing the first report of preferred class structure data from statistical agent submissions.

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

Description: A follow-up to the first Preferred Class Structure Report, which contains the additional analysis of areas identified while preparing the first report of preferred class structure data from statistical agent submissions.

Description: The presenters will cover the latest research undertaken by the Individual Life Experience Committee (ILEC). With several years of very robust individual life insurance experience data accumulated through the mandatory Statistical Agent data calls, this vast amount of data allows for various deeper dives into specific segments of business, such as large face amount, older age or juvenile. Speakers will cover studies the committee is currently involved in, future planned efforts, and results from a variety of sub-segments of business. Attendees will learn about emerging statistical techniques in scrubbing data, more refined quintile-grouped data segments, and interesting ways of conceptualizing how A/E results have changed from year to year. There will be something for everyone!

Description: The impact of nutrition, geography, occupation and other health risks on mortality with regards to life insurance. From Record of Society of Actuaries, February 1978, Vol. 3, No. 4

Description: Article from The Actuary, September 1985 – Volume No. 19, Issue No. 7 that in response to an editorial on Moslem insurance, the author references a story in the Bible about a Stationary Population Problem

Description: The results of the 2016 Group Term Life Experience Study, which includes experience for policies in force anytime during 2010 through 2013.

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: The results of the 2016 Group Term Life Experience Study, which includes experience for policies in force anytime during 2010 through 2013.

Description: The results of the 2016 Group Term Life Experience Study, which includes experience for policies in force anytime during 2010 through 2013.