Description: This summary is intended to provide the pension actuary with guidance in interpreting and using the termination and retirement information in the 2003 SOA Pension Plan Termination and Retirement Study. The tables in the study were developed based on 1.7 million life years of data from 112 plans collected primarily from actuarial consulting firms for the period 1995 – 2000.

Description: This paper develops credibility using a longitudinal data framework. In a longitudinal data framework, one might encounter data from a cross-section of risk classes towns with a history of insurance claims available for each risk class. For the marginal claims distributions, we use generalized linear models, an extension of linear regression that also encompasses Weibull and Gamma regressions. Copulas are used to model the dependencies over time specifically, this paper is the first to propose using a t-copula in the context of generalized linear models. The t-copula is the copula associated with the multivariate t-distribution like univariate t-distributions, it seems especially suitable for empirical work. Moreover, we show that the t-copula gives rise to easily computable predictive distributions that we use to generate credibility predictors. Like Bayesian methods, our copula credibility prediction methods allow us to provide an entire distribution of predicted claims, not just a point prediction.

Description: This is the abstract for the research paper on a hierarchial model for micro-level stochastic loss.

Description: This is the abstract for the paper on a household's life insurance demand - a multivariate two parts model.

Description: This abstract describes a paper that introduces Technology enhanced learning tools that are available and how they will be used in classrooms and beyond

Description: This paper investigates the use of models of dependent mortality for determining annuity values. We discuss a broad class of parametric models using a bivariate survivorship function called a copula. Using data from a large insurance company to illustrate our methods, we calculate maximum likelihood estimates to calibrate the rnodel.

Description: This article discusses Jed Frees’ book in progress, “Regression Modeling with Actuarial and Financial Applications” which offers a synthesized introduction to regression and time series.

Description: Data files for presentation.

Description: This study summarizes the results of the the Society of Actuaries' Non-Mortality Decrement Task Force data collection effort of plan turnover data for years 1994-2000. Service, by itself, seems not to be a good predictor of retirement. Service and age are each good predictors for termination it is found. The report is designed to offer actuaries information about turnover as it pertains to defined benefit plans.

Description: Full version of Pension Section News, March 2000, Issue No. 42.