Description: The papers in this monograph provide varied perspectives on many housing and retirement issues of concern to policymakers, financial planners, and homeowners, among others. This article provides key takeaways from the various papers. Additionally provided are suggestions for future work.

Description: References used in this research project looking at the mortality sex differential. From Why Men Die Younger - Causes of Mortality Differences by Sex, M-LI01-1.

Description: The authors analyze the impact of the market downturn in 2008 on investors nearing retirement. The analysis finds that these investors are likely to delay retirement to recover. From the 2011 Enterprise Risk Management Symposium, March 2011.

Description: The author reviews 10 authoritative papers regarding research on the post-retirement period of life.

Description: These are the Discussion Comments by Jean-Marc Fix for the Disease and Longevity Session 6B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This is the A Study into the Impact of Pre-Programmed Health Risks in Retirement Planning paper authored by N. V. Subramanyan for Session 1B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This is the Trends in Life Expectancy and Lifespan Variation After Retirement abstract authored by Jesu´s-Adria´n A´ lvarez, Søren Kjærgaard, Malene Kallestrup-Lamb, James W. Vaupel for Session 1B of the January 13-15, 2020 Living to 100 Symposium in Orlando, Florida.

Description: This paper is about the world's oldest-old population - those 80 years and older - and their life expectancy. It provides a few methods for extending the life tables to age 100 and beyond, and projects mortality patterns at very old ages.

Description: This paper evaluates the current practice of operational risk management in the insurance sector. Operational risk is nothing new in insurance, but, because of regulatory requirements, companies have initiated computation of risk capital for their operational losses. The current effort to manage operational risk is not a naturally evolving phenomenon, and operational risk, in the Basel Committee on Banking Supervision’s Basel II definition, is unlikely to be a significant cause of insurers’ failure. In addition, the current Basel II definition of operational risk is not suitable for the insurance sector. Consequently, the invention of models and tools based on the definition is incomplete and illusionary. My findings are based on the analysis of dozens of interviews with insurance industry professionals. I demonstrate the way operational risk is quantified in practice, show that the result obtained from this computation is of littl e use in managerial decision making and propose a set of policy recommendations illustrating the characteristics of operational risk in insurance. This study can be used as a platform for launching dialogues to initiate fresh thinking about operational risk in insurance beyond the current artificial and narrow boundaries.