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Modeling SSI financial eligibility and simulating the effect of policy options
Many elderly eligible for Supplemental Security Income (SSI) do not participate. Policy changes, like increasing the general income exclusion, could significantly boost participation and reduce poverty, but at a higher cost.
Area of Science:
- Economics
- Public Policy
- Social Welfare
Background:
- Millions of elderly individuals are eligible for Supplemental Security Income (SSI) but a significant portion do not participate.
- Understanding factors influencing SSI participation is crucial for effective social welfare policy design.
- Existing financial eligibility standards may create barriers to program access for vulnerable elderly populations.
Purpose of the Study:
- To simulate SSI eligibility and participation rates among the elderly population.
- To analyze demographic and socioeconomic factors influencing SSI participation.
- To evaluate the potential impacts of modifying financial eligibility standards on poverty, costs, and participation.
Main Methods:
- Utilized 1991 microdata from the Survey of Income and Program Participation (SIPP) matched with administrative records.
- Applied program rules to simulate SSI eligibility and participation under various policy alternatives.
- Employed a probit model to identify factors affecting participation among eligible individuals.
Main Results:
- Approximately 6.6% of the noninstitutionalized elderly were eligible for SSI in 1991, with only 63% participating.
- Increasing the general income exclusion (GIE) showed the most significant potential for reducing poverty and increasing participation.
- Policy interventions that increase participation and reduce poverty generally incur higher program costs.
Conclusions:
- Modifying financial eligibility standards, particularly the GIE, can substantially increase SSI participation and decrease elderly poverty.
- There is a trade-off between the magnitude of policy effects (participation, poverty reduction) and program costs.
- Data from SIPP matched with administrative records provide a robust basis for simulating SSI program impacts.
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