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Distribution of increased benefits under alternative earnings tests
Social Security Bulletin
|September 1, 1980
Summary
Changes to the Social Security earnings test will impact a small portion of the aged population. Most seniors receive no benefit increase, while specific changes favor high or middle earners.
Area of Science:
- Social Security policy analysis
- Retirement economics
- Public finance
Background:
- The Social Security earnings test impacts benefit levels for retirees with earned income.
- Proposals for modifying or repealing the earnings test are frequently debated.
- Understanding the distributional effects of these changes is crucial for policy decisions.
Purpose of the Study:
- To estimate and analyze the distribution of increased Social Security benefits from various earnings test reforms.
- To assess the impact of the 1977 amendments, potential future liberalizations, and complete repeal of the earnings test.
- To identify which segments of the aged population would benefit from specific changes to the earnings test.
Main Methods:
- Analysis of benefit distributions under different earnings test scenarios.
- Estimation of impacts for the 1977 Social Security Amendments.
- Modeling of potential future liberalizations and complete repeal of the earnings test.
Main Results:
- Approximately 90% of the aged population will not see increased benefits from earnings test changes due to minimal earnings.
- The remaining 10% will experience varied effects depending on the specific parameter altered.
- Lowering the age exemption primarily benefits the top 5% of earners.
- Increasing the exempt amount benefits the middle 5% of earners.
- Reducing the tax rate on earnings above the exempt amount benefits both middle and high earners.
Conclusions:
- Earnings test reforms significantly affect a small fraction of the aged population.
- The specific distributional impact hinges on the nature of the reform (age, exempt amount, tax rate).
- Policy changes should consider these targeted effects on different income groups within the elderly population.