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Elderly poverty and supplemental security income, 2002-2005
Joyce Nicholas1, Michael Wiseman
1Office of Retirement and Disability Policy, Social Security Administration, USA. Joyce.Nicholas@ssa.gov
Social Security Bulletin
|June 22, 2010
Summary
Adjusting poverty data with Supplemental Security Income (SSI) administrative records lowers overall official poverty but increases it for elderly recipients. Poverty levels remained stable from 2002 to 2005.
Area of Science:
- Social Sciences
- Economics
- Public Policy
Background:
- The Supplemental Security Income (SSI) program is a crucial safety net for vulnerable populations.
- Underreporting of SSI receipt in the Current Population Survey (CPS) affects poverty rate accuracy.
- Previous research adjusted 2002 CPS data using administrative records for SSI and OASDI.
Purpose of the Study:
- To extend the analysis of incorporating administrative data into poverty estimation through 2005.
- To assess the impact of using administrative data on official and relative poverty measures.
- To evaluate changes in poverty rates for different demographic groups, particularly elderly SSI recipients.
Main Methods:
- Adjusting Current Population Survey (CPS) income data with administrative records from the Supplemental Security Income (SSI) and Old-Age, Survivors, and Disability Insurance (OASDI) programs.
- Calculating poverty rates using both the official poverty standard and a relative poverty standard (half of median income).
- Extending the comparative analysis of income adjustment methodologies from 2002 to 2005.
Main Results:
- Incorporating administrative data into poverty estimation presents methodological challenges.
- The adopted methodology for income adjustment reduced overall estimated official poverty rates.
- Estimated poverty rates increased for elderly SSI recipients when administrative data was included.
- Relative poverty rates were substantially higher than official poverty rates across all analyses.
- Poverty levels demonstrated minimal change between 2002 and 2005 under various measurement standards and adjustment procedures.
Conclusions:
- Administrative data integration offers a more nuanced understanding of poverty dynamics.
- Official poverty measures may underestimate poverty, especially among specific demographics like elderly SSI recipients.
- Relative poverty provides a different perspective, highlighting broader economic well-being.
- Despite methodological adjustments, the overall trend indicated a stable poverty landscape during the study period.
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