Description: Part 5 addresses various purposes for measuring a public sector pension liability and which measures have the most practical usefulness.

Description: This paper models the extent of the tax dollars being lost by the government today because of Qualified Pension Plans and IRAs, and then goes on to project the extra revenue that will accrue to the government from these same pension plans when the baby boomers retire.

Description: Part 1 proposes solutions to the first of three flaws of the current financial model to obtaining the fair value of the public sector employer’s pension benefit liability.

Description: This paper develops a set of retirement decision propositions, which hypothesize that the heuristic of Anchoring and the resulting cognitive biases described by Prospect Theory will influence the chosen retirement age. .

Description: This study addresses some aspects of the financial impact on women under the Social Security benefits reform or redistribution.

Description: Estimation of hazard rates at extremely old ages poses serious challenges to researchers: 1 The observed mortality deceleration may be at least partially an artifact of mixing different birth cohorts with different mortality heterogeneity effect 2 Standard assumptions of hazard rate estimates may be invalid when risk of death is extremely high at old ages 3 Ages of very old people may be exaggerated. In this paper we propose an alternative approach, which gives an opportunity to resolve the first two problems by compiling data for more homogeneous single-year birth cohorts with hazard rates measured at narrow monthly age intervals. Possible ways of resolving the third problem of hazard rate estimation were elaborated.

Description: Part 4 presents an alternate approach to obtaining the fair value of the public sector employer’s pension benefit liability.

Description: We develop a model based on causal mortality in order to better understand inequalities in life expectancy across socioeconomic circumstances.

Description: In this paper, we investigate the dynamics of the Lee-Carter mortality index parameter kt. Specifically, we perform statistical hypothesis tests to examine whether the mortality indexes for Canada, England and Wales and the United States are best described by stochastic trends difference stationary models or deterministic trends trend stationary models. The empirical results favor broken-trend stationary models over difference stationary models, which are used in most previous applications of the Lee-Carter method. The results also give strong statistical evidence that the rates of mortality decline for the three populations have significantly accelerated in mid-1970s.

Description: Introduction to the paper that documents the flaws of the current financial model.