This article is an extension of work reported in an earlier article entitled, "Elderly Poverty and Supplemental Security Income" (Social Security Bulletin 69(1): 45–73). Like the original work, the present study looks at the consequences of obtaining estimates of the prevalence of poverty among persons aged 65 or older by using administrative data to adjust incomes reported in the Current Population Survey. The original article looked at incomes in 2002; the present one covers measures of absolute and relative poverty status of the elderly during the 2003–2005 period. Again, we find that inclusion of administrative data presents challenges, but under the methodology we adopt, such adjustments lower estimated official poverty overall and increase estimated poverty rates for elderly SSI recipients by correcting for the misreporting of SSI, OASDI, and earnings receipt by CPS respondents.

This article examines the Student Earned Income Exclusion (SEIE), which is part of the Supplemental Security Income (SSI) program. The SEIE is an incentive for work and education. The article presents statistics on the demographic characteristics of SSI recipients with SEIE; on the prevalence and intensity of SEIE use; on the seasonal patterns in SEIE use; and on the factors driving these seasonal patterns—including changes in earnings, student status, age, and SSI eligibility, as well as the effects of the annual SEIE limit.

This article uses matched survey and administrative data to estimate, as of 2006, the size of the population eligible for the Low-Income Subsidy (LIS), which was designed to provide "extra help" with premiums, deductibles, and copayments for Medicare Part D beneficiaries with low income and limited assets. The authors employ individual-level data from the Survey of Income and Program Participation and the Health and Retirement Study to cover the potentially LIS-eligible noninstitutionalized and institutionalized populations of all ages. The survey data are matched to Social Security administrative data to improve on potentially error-ridden survey measures of income components and program participation.