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: 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.