Description: This paper examines the risk associated with long-term care, as well as a variety of insurance-based vehicles that can assist consumers in protecting them from this risk.

Description: Discussion of the need for long term care reinsurance and the types of services needed and available.

Description: A discuss of notice and consent requirements for employer-owned life insurance policies and the IRS rules again on an annuity-LTC combination product.

Description: Provides a review of the available lapse experience for lapse-supported Life and Long-Term Care products.

Description: Article presents issues for postretirement medical on models, data and the frail elderly. From Health Section News, December 2000, Issue No. 39.

Description: Report on the activities of the Academy’s health practice council and its work groups.

Description: This fact sheet summarizes the results of a survey analyzing retirees’ and pre-retirees’ concerns on retirement. It also reveals how these groups have prepared or are preparing to face risks and offers personal risk management strategies and tips.

Description: The paper will focus on two broad areas, integration of insurance products with investment products to mitigate the risk of outliving one’s assets in post-retirement financial planning. Modeling and pricing for the longevity risk in the secondary market in insurance.

Description: Author’s response to discussant comments for the 2009 Housing Wealth monograph paper, “Home Equity and At-Need Annuities—A Dynamic Long-Term Care Funding Duo”. The paper describes the prevalence of the still uninsured long-term care financial risk, and how the at-need annuity/home equity combination can address long term care needs.

Description: Process risk, estimation error, model uncertainty, trend risk and catastrophe risk are the five main components of longevity risk uncertainty. In the face of this daunting uncertainty, what should the actuarial practitioner do? This session focuses on assessing model uncertainty, process risk and estimation error in mortality modeling. Besides discussing the theory behind methods for performing the assessment, presenters provide attendees with practical examples using R to help them in applying the methodologies and concepts presented.