Description: One of the first projects undertaken by Claim Analytics was to create a model to predict return to work for group insurance claimants with long term disabilities. This report, sponsored in part by the Society of Actuaries Health Section , is a case study on creating such a model.

Description: Discusses the Canadian Institute of Actuaries' disability morbidity study to update the 1964 CDT and explains the techniques used to interpolate incidence rates from the 1964 CDT.

Description: A contingency table is a set of counts or frequencies obtained by classifying observations in two or more different ways. Log-linear analysis is applied to disability terminations, linking them to variables such as sex, age, region and maximum benefit period. Application to risk classification and underwriting are outlines.

Description: Panel session exploring a variety of issues connected to long-term disability reserve buyouts, including: · Advantages and risks for buyers and sellers · Use of appropriate reserving assumptions · Possible financial structures for a buyout

Description: This session is about health insurance cash-flow testing through liability and asset modeling for individual disability income insurance and health valuations. From Record of Society of Actuaries Vol. 19, No. 1B.

Description: This paper explores available disability experience data in order to shed some light on the character and extent of the subjective influences which affect the frequency and duration of disability. A mathematical model for computing disability income premiums and reserves is also presented.

Description: The presenters will discuss predictive analytics as applied to recent group life and disability experience studies and other applications.

Description: In this paper a method is described for pricing - and reserving for- return of premium benefits under disability income policies. Followed by a discussion paper

Description: A simple short-term disability model is developed, where the loss process is comprised of two processes: new claims process and continuing claims process. This results in a surplus function with stationary dependent increments. Three dimensional transitional probabilities are needed to model the transitions of this non-Markovian process. An approximating model with stationary independent increments is found. The approximating model leads to bounds for the finite probability of ruin. Numerical comparisons are made.