Description: This report contains estimates of incidence and continuance rates from the general population using data available from the National Long–Term Care Surveys. This report was done by a subcommittee of the Society's Long–Term Care Experience Committee and reflects work done primarily at the Duke University Center for Demographic Studies. This is a ZIP file containing main report, all appendices, tables, and figures from the study and model.

Description: In this, the second step, Sibson engaged the vendor and actuarial communities to solicit input on the actuarial model for determining the impact of various environmental, lifestyle and behavioral risk factors. The goal was to understand the extent to which actuaries currently use models around wellness, refine the above conceptual model, and better understand the potential uses of, and value to, the actuarial and vendor communities that would use such a model. We sought to understand the potential applications and sources of data for the actuarial model. We gathered input on how the model would best suit the professional needs and help shape the future role of the actuary. Lastly, we gathered feedback on the above conceptual model.

Description: An introduction to the field of Complexity Science. The report includes an overview of the field’s key results, detailed instructions for building Complexity Science models, examples of working models, review of practical models applicable to the work of actuaries, a literature review, and a discussion on how actuaries can apply Complexity Science in their work.

Description: Responds to questions received during the webcast with regards to modeling long term medical trends for valuation purposes. Questions cover testing the model against publicly traded companies, the calculation of growth rate in the model, the income multiplier as the population ages, model relevance to Canada, factoring in of extra disease burdens, exclusion of aging in the model, and the effect of the globalization of health care.

Description: This predictive modeling for life insurers paper by a Deloitte research team is one of a collection of essays that examine how existing or new methods or models can be applied to the life insurance industry.

Description: Recognizing an opportunity to help serve its members in this age of increased financial oversight, the Health Section of the Society of Actuaries commissioned a series of guides on the use of statistical techniques specifically geared for the work of health actuaries. In this first guide in the series, the topic is an estimate well-known to health actuaries- the calculation of incurred but not reported [IBNR] health claims reserves. In particular, this guide focuses on the development of confidence intervals around IBNR estimates.

Description: A research report that examines modeling of cash flow associated within a pool of mortgages and specifically focusing on the effectiveness of infusing a limited amount of capital into the pool.

Description: This paper shows how the results of copula based capital aggregation models can always be locally approximated by relatively simple formulas. The paper defines the concepts of diversification factor and tail correlation matrix and describes methods for estimating these quantities from simulated data. We show how these ideas can be put into practice as both computational shortcuts and presentation tools.

Description: In the copula literature there are many bivariate distribution families but very few higher dimensional ones. Moreover, most of these are difficult to work with. Some of the bivariate families can be extended to more dimensions but in general the construction of distribution functions with more than two variables is a difficult problem. This paper introduces a construction method that is straightforward to implement and can produce multivariate distribution functions of any dimension.

Description: A recent study sheds light on the measurement and implications of the relationship between increased morbidity and declining disability. The results were not consistent across all populations. This study of the compression of morbidity is part of a wider project called the M-project, led by the four authors, which aims to explore the demographic factors leading to an increase in the adult longevity, investigate the phenomenon called the compression of mortality and develop a new methodological approach to longevity analysis with focus on the modal age at death M.