Description: This paper develops a parametric model for health care insurance claims to fit parametric models to the data. Model selection is based on the ChJ-squared goodness-of-fit test and a comparison of the empirical limited expected value function to parametric limited expected value functions. A copula function was used to model the bivariate portion of the data. From Actuarial Research Clearing House 1993, VOL. 3.

Description: Accurate forecasts of future health care expenditures for cohorts of elderly individuals can be especially difficult. Current techniques use average per capita costs, based on local experience, adjusted for the cohort's age, sex, institutionalization, and welfare status distribution. This paper presents a method to adjust such per capita cost estimates to reflect more accurately the likely health status of a particular cohort. The adjustment uses the cause-of-mortality profile in the local population, which is a readily available tabulation known to be highly correlated with a major proportion of total medical care expenditures for people beyond age 65. From Transactions of Society of Actuaries 1984, Vol. 36.

Description: This is the sixth Intercompany Study of Long–Term Care Insurance. This report combines and analyzes data received from 35 insurers. Available data was collected on policies issued between January 1, 1984 and December 31, 2007. Claims incurred on policies during this same timeframe were followed from claim inception through the earlier of claim termination or June 30, 2008.

Description: Relative to group medical plans, discusses: recognition given to effect on morbidity of various demographic factors, consideration given to inflation in making rate guarantees, consideration given to group size, and underwriting transfer cases.

Description: This report explores two LTC insurance product concepts. The concepts were developed as part of an effort to create innovative new LTC insurance products.

Description: As carriers have learned over the last two decades, Long-Term Care insurance (LTCi) is a risky business. The intent of this paper is to illustrate how these risks can be better understood through modeling the liabilities using a Monte Carlo simulation approach.

Description: This final report is a SOA Task Force response to a NAIC request to develop valuation recommendations for long-term care insurance. Two basic sets of tables are provided: one for institutional benefits [nursing home] and one for noninstitutional benefits [home health care]. From Transactions of Society of Actuaries 1995, Vol. 47.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: On February 15, 2022, the Association Forum Health Care Collaborative, a collection of metropolitan Chicago based Healthcare associations, held its winter event. This virtual gathering featured two sessions titled: “Healthcare Policy Perspective” and “Megatrends and Tipping Points that will Define Success in the "New Normal".

Description: A study of whether tobacco, area and industry rating in one state may be reflecting unintended factors such as race, ethnicity or socioeconomic status. This study does not consider whether the rating factors accurately reflect underlying claims costs.