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A note on sampling variance estimates for Social Security program participants from the Survey of Income and Program
1Office of Research and Statistics, Social Security Administration.
Social Security Bulletin
|October 1, 1988
Summary
This study introduces a method to directly compute sampling errors for Old-Age, Survivors, and Disability Insurance (OASDI) and Supplemental Security Income (SSI) program participants using SIPP data. This ensures more accurate analysis of these crucial social security programs.
Area of Science:
- Social Sciences
- Statistics
- Public Policy
Background:
- The Survey of Income and Program Participation (SIPP) offers valuable data for analyzing Old-Age, Survivors, and Disability Insurance (OASDI) and Supplemental Security Income (SSI) program participants.
- Estimates derived from SIPP data may suffer from significant sampling errors, particularly for analyses focused on specific subpopulations.
- Existing generalized sampling variance methods from the Census Bureau do not adequately address the distinct needs of OASDI and SSI participant analyses.
Purpose of the Study:
- To develop and describe a direct computation method for sampling variances specific to OASDI and SSI program participants.
- To address the limitations of generalized sampling variance estimates for analyses of these social security programs.
- To provide a more accurate statistical basis for research on OASDI and SSI beneficiaries.
Main Methods:
- Utilizing pseudo stratum and half-sample codes available in SIPP public use data files.
- Direct computation of sampling variances tailored to OASDI and SSI program participant groups.
- Construction of a generalized standard error table for program participants aged 18 and older.
Main Results:
- A direct computation approach for sampling variances for OASDI and SSI participants was successfully developed.
- A table of generalized standard errors was generated for participants aged 18 and above.
- The method's applicability was limited for child beneficiaries under 18 due to high variability in design effects.
Conclusions:
- The developed method provides a more precise way to estimate sampling errors for OASDI and SSI participants aged 18 and over.
- Direct computation using SIPP pseudo stratum and half-sample codes enhances the reliability of analyses concerning these social security programs.
- Further methodological development is needed to accurately assess sampling errors for child beneficiaries under 18.