How Risk-Sharing Policies Affect the Costs and Risks of Public Pension Plans.

Risk sharing is an important component of today’s public pension system, as the state and local governments strive to balance growing pension costs and risks as well as the competitiveness of compensation to public employees. In traditional public sector defined benefit (DB) plans, the employer bears nearly all investment risk, longevity risk, and inflation risk during both working and retirement years. On the other hand, the employee tends to be the one absorbing these risks in traditional defined contribution (DC) plans. Under this dilemma, risk-sharing mechanisms such as contingent cost-of-living adjustments (COLAs), contingent employee contributions, and hybrid DB-DC plans, were created.

However, risk sharing has not been widely used in the U.S. public pension plans. Current examples include COLAs in South Dakota Retirement System that depend partly on plan funded status, COLAs in Wisconsin Retirement System that depend on investment performance, and employee contributions in Pennsylvania State Employees’ Retirement System that depend partly on investment performance. Nevertheless, many variants and alternative approaches to risk sharing are possible. It brings a sense of urgency to understand how risk-sharing mechanisms affect costs and risks to pension plans, governmental employers, workers and retirees.

In this paper, Don Boyd, Gang Chen and Yimeng Yin (Center for Policy Research, Rockefeller College, University at Albany) examine the impacts of selected risk-sharing policies on employers and plan members, using a model that simulates a pension fund’s year-by-year finances taking investment return volatility into account (i.e., a stochastic simulation model). The pension plan they model has demographic characteristics of a stylized typical U.S. public pension plan. They assume that it has reached a steady state, with new members each year replacing leaving members in a way that keeps the plan’s overall demographic structure stable; this assumption greatly simplifies their calculations while still allowing valuable insights.

The authors’ simulation results are preliminary but informative. Their main conclusions are:

The Brookings Institute

by Donald Boyd, Gang Chen, and Yimeng Yin

Monday, August 12, 2019



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