
This episode discusses the new Social Security policy simulator developed by Ken Smithers at the Wharton School. Key topics include trust fund reserves, non-interest surplus, and various policy options for Social Security reform.
Ken Smithers explains the simulator's features, including its ability to compare results with the Social Security Administration and the Congressional Budget Office. The model predicts that the trust fund will exhaust approximately three to four years earlier than current projections, with deficits expected around 2031.
The episode highlights the simulator's capability to analyze different policy changes, such as increasing the payroll tax and adjusting the retirement age. Smithers notes that raising the retirement age has minimal immediate impact on trust fund exhaustion but can affect long-term non-interest surplus.
Smithers also discusses progressive benefit reductions and increasing the taxable maximum income for Social Security taxes, emphasizing the varying impacts of these policies over time. The simulator allows users to explore 4,096 different policy combinations to understand trade-offs between short-term and long-term effects.
Listeners gain insights into the complexities of Social Security reform and the importance of data-driven policy decisions.
Ken Smithers discusses a Social Security simulator that analyzes policy changes and predicts trust fund exhaustion dates.

Increasing the retirement age is simply too late to solve the problem.Social Security Policy Simulator Overview
You can see the trade-offs yourself, especially between the long run and the short run.Social Security Policy Simulator Overview