Social Security Bulletin, Vol. 72, No. 4
The original print and web versions of Kalman Rupp's article contained an error in the notes for Table 5. The independent variables listed for Model 6 (sets 1 and 2) should have included “unemployment rate.” The corrected note now appears in the web versions of the article.
The American Indian and Alaska Native (AIAN) population is understudied in a variety of policy contexts. This article compares AIAN socioeconomic characteristics with those of the total population, focusing on patterns of adult Social Security benefit and Supplemental Security Income receipt. The analysis takes advantage of the relatively large AIAN sample size provided by the 2005–2009 American Community Survey Public Use Microdata Sample.
Various factors outside the control of decision makers may affect the rate at which disability applications are allowed or denied during the initial step of eligibility determination in the Social Security Disability Insurance (DI) and Supplemental Security Income (SSI) programs. This article, using individual-level data on applications, focuses on the role of three important factors—the demographic characteristics of applicants, the diagnostic mix of applicants, and the local unemployment rate—in affecting the probability of an initial allowance and state allowance rates. A random sample of initial determination administrative records for the 1993–2008 period is used for the analysis in a fixed-effects multiple regression framework. The empirical results show that the demographic and diagnostic characteristics of applicants and the local unemployment rate substantially affect the initial allowance rate. An increase in the local unemployment rate tends to be associated with a decrease in the initial allowance rate. This negative relationship holds for adult applicants in both the DI and SSI programs and for SSI childhood applicants.
Policymakers have proposed increases to the early eligibility age (EEA) and/or full retirement age (FRA) to address increasing life expectancy and Social Security solvency issues. This analysis uses the Social Security Administration's Modeling Income in the Near Term (MINT) model to compare three retirement-age increases suggested by the Social Security Advisory Board: (1) increase the FRA alone, (2) increase both the EEA and FRA to maintain a 4-year gap between them, and (3) increase both the EEA and FRA to maintain a 5-year gap between them. This distributional analysis shows the impact these varying reforms would have on Social Security beneficiaries in the future.
This article uses household wealth and labor market data from the Health and Retirement Study (HRS) to investigate how the recent "Great Recession" has affected the wealth and retirement of the Early Boomer cohort, those in the population who were just approaching retirement age at the beginning of the recession. The retirement wealth of people aged 53–58 before the onset of the recession in 2006 declined by a relatively modest 2.8 percent by 2010. For members of older cohorts, wealth had increased by about 5 percent over a comparable age span. The wealth holdings of poorer households were least affected by the recession. Relative losses were greatest for those who initially had the highest wealth when the recession began. The retirement behavior of the Early Boomer cohort looks similar, at least to date, to the behavior observed for members of older cohorts at comparable ages.