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: This article provides an overview of the relationship to COVID-19 to issues related to caregiving, family and long-term care, and related SOA research. The SOA has addressed these topics in several research reports not related to COVID-19 and in recent reports related to COVID-19. It is currently working on new projects to help people better address some of the issues. The article also includes some highlights of efforts by ASEC, the ERISA Advisory Council 2020 projects, and an educational program focused on these issues. It then focuses on a number of things that employers might do to be supportive in addressing these issues. The employer issues focus on employees, retirees and caregiving employers. In thinking about this, employers can focus on financial wellness programs, employee assistance programs, and prepaid legal programs. A list of topics to considered for educational offers is included.