PENSION PLAN TERMINATION AND RETIREMENT STUDY
by Edward W. Frees in cooperation with the Society of Actuaries’ Non-Mortality Decrement Task Force
October 29, 2003
Corresponding Author Contact Information:
Edward W. Frees
School of Business, University of Wisconsin
975 University Avenue
Madison, Wisconsin� 53706
Email: jfrees@bus.wisc.edu
Abstract
Employee termination and
retirement probabilities affect the valuation of employee benefit plans and
thus are of concern to actuaries. To provide timely experience for the
profession, the Society of Actuaries’ Non-Mortality
Decrements Task Force organized a data collection effort. Thirty-two
contributors provided over 1.7 million life years of pension plan turnover data
for years 1994-2000. This study summarizes the results of this data collection
effort.
Traditionally, the most important determinants of termination and
retirement are age, a proxy for attachment to the workforce, and service, a
measure of attachment with a firm. This study documents the importance of these
traditional quantities using current data and provides (aggregate) tables so
that actuaries may quantitatively assess their importance. Moreover, select and
ultimate termination tables are provided to assess their combined effect.
For the middle working years, ages 25-55, we find female termination
probabilities are higher than males, although the differences are smaller than
has been true historically. The differences are insignificant for the younger
working years or early service years. Moreover, for ages 55 and older, males
have higher retirement probabilities than females.
We also document the effect of several plan characteristics:
eligibility for post-retirement health benefits, benefit formula, industry, plan
size, hourly/salary and union status, as well as “prior” information. To assess
the effects of plan characteristics while controlling for age, service and
gender, we use a regression methodology suitable for categorical outcomes,
multinomial logit analysis. We find that small plans have slightly higher
termination probabilities compared to medium and large plans (plan size is our
proxy for employer size). Union hourly plans have lower termination
probabilities than salaried plans; in turn, salaried plans have lower
termination probabilities than non-union plans.
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