Description: This paper presents an approach to analyzing continuing care retirement community [CCRC] data, and demonstrates the methods using data from a large CCRC. It is assumed that residents make transitions among a number of states that represent the levels of care required by residents. There is randomness associated with both the transition times and the states entered at these times. The model is conveniently characterized in terms of transition intensity functions, which represent the instantaneous rates of transition between pairs of states.

Description: Prepared for the Society of Actuaries by STATLAB at the University of Western Ontario, this report contains the results of a cash flow testing, ‘CFT,’ software survey performed in 2004. The results were based on the responses of 110 life insurance companies in the U.S. and Canada. The goal of the survey was to produce a report that will serve as a reference for comparing the available CFT packages and lead to better software and modeling techniques. CFT refers to analysis which is used to support both the Asset Adequacy Analysis for the Actuarial Opinion for U.S. companies, and the ALM Provision for Adverse Deviations in applying the Canadian Asset Liability Method to determine reserves for Canadian companies.

Description: This paper presents a multi-state stochastic model for analyzing continuing care retirement community CCRC populations. The model considers CCRCs with a number of independent living units and a skilled nursing facility. Residents may transfer temporarily or permanently to this facility. It is assumed that units vacated by deaths, withdrawals or permanent transfers are immediately occupied by new residents. Transfers are modeled using a time-homogeneous Markov process. The paper provides some probabilistic results and some numerical results obtained using this model. Some important generalizations of the model are also briefly discussed.