Research and Analysis by Kathleen Romig
Distributional Effects of Applying Social Security Taxes to Employer-Sponsored Health Insurance Premiums
This policy brief analyzes how applying the Social Security tax to employer-sponsored health insurance premiums could affect Social Security beneficiaries. Specifically, the brief examines an option presented by the Social Security Advisory Board in which both employee and employer premiums would count as wages for Social Security tax calculations, and later for benefit calculations. Using the Modeling Income in the Near Term model, the results show that for most Social Security beneficiaries aged 60 or older from 2017 to 2080, benefits would gradually increase and the poverty rate would decrease faster than the rate under current law. Counting employer-sponsored health insurance premiums as wages for Social Security purposes would increase Social Security taxes for most individuals and those taxes would increase more than Social Security benefits for individuals at all earning levels.
Social Security's family maximum rules limit the total benefits payable to a beneficiary's family. Different family maximum rules apply to retirement and survivor benefits than to disability benefits. The rules for calculating family maximum benefits are complicated. In some particularly complex cases, it is difficult to properly implement the family maximum, which can result in over- or underpayments. This article explains how the family maximum rules work and describes their evolution. The authors use Modeling Income in the Near Term, Version 6 data to analyze who is affected by the family maximum and to what extent their benefits are changed.
The retirement earnings test (RET) is an often-misunderstood aspect of the Social Security program. Policymakers have proposed reforming the RET as a way to encourage working at older ages. However, this could also cause earlier benefit claiming. We use Modeling Income in the Near Term data to analyze the complete repeal of the earnings test for beneficiaries aged 60 or older, first assuming no behavioral responses to repeal and secondly assuming changes to benefit claiming and workforce participation behaviors. Our lifetime results show that the assumed behavioral response—particularly the benefit claiming change—has a bigger effect than the RET policy change itself.
A Profile of Children with Disabilities Receiving SSI: Highlights from the National Survey of SSI Children and Families
This article, based on interviews from the National Survey of SSI Children and Families conducted between July 2001 and June 2002, presents a profile of children under the age of 18 who were receiving support from the Supplemental Security Income program. The topics highlighted provide information of SSI children with disabilities and their families not available from administrative records, including demographic characteristics, income and assets, perceived health and disabilities, and health care utilization. While virtually every child in the SSI program is covered by some form of health insurance, primarily Medicaid, the data indicate substantial heterogeneity on other variables. This is true on many different dimensions, such as the perceived severity of the child's disabling conditions, health care utilization and service needs, the presence of other family members with disabilities, family demographics, and access to non-SSI sources of incomes.