The Effects of Alternative Demographic and Economic Assumptions on MINT Simulations: A Sensitivity Analysis
The Social Security Administration's (SSA's) Modeling Income in the Near Term (MINT) estimates income/wealth of future retirees. Estimates are based on demographic information from the Survey of Income and Program Participation: individual earnings histories and projections of interest rates, wage growth, mortality rates, and disability rates. Historically, MINT simulations were based exclusively on SSA's Office of the Chief Actuary's (OCACT's) intermediate-cost projections of key demographic/economic variables. The authors present the results of a sensitivity analysis in which they ran MINT using OCACT's low-cost/high-cost projections of mortality and disability trends. Those simulations estimated characteristics of the population aged 65 or older in 2040 under alternative projections of mortality/disability trends. The authors then describe simulations in which future real rates of return on stocks held in retirement accounts differ from the historical mean real rate of return used in baseline simulations. Sensitivity analyses can help MINT users choose model parameters with the greatest impact on simulation results.
Outcome Variation in the Social Security Disability Insurance Program: The Role of Primary Diagnoses
This article investigates the role that primary impairments play in explaining heterogeneity in disability decisions. Using claimant-level data within a hierarchical framework, the author explores variation in outcomes along three dimensions: state of origin, adjudicative stage, and primary diagnosis. The findings indicate that the impairments account for a substantial portion of claimant-level variation in initial allowances. Furthermore, the author finds that the predictions of an initial and a final allowance are highly correlated when applicants are grouped by impairment. In other words, diagnoses that are more likely to result in an initial allowance also tend to be more likely to receive a final allowance.
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 person's Social Security benefit, or primary insurance amount (PIA), is 90 percent of the lowest portion of lifetime earnings, plus 32 percent of the middle portion of lifetime earnings, plus 15 percent of the highest portion of lifetime earnings. This policy brief analyzes the distributional effects of three options (the three-point, five-point and upper) discussed by the Social Security Advisory Board to reduce the PIA. The first option would reduce the PIA by 3 percentage points; the second would reduce it by 5 percentage points; and the third would reduce the 32 and 15 percentages of the PIA to 21 and 10 percent, respectively. The third option would exempt about one quarter of the lowest earning beneficiaries, while reducing benefits by a median average of 19 percent in 2070. None would eliminate Social Security's long-term fiscal imbalance, although the third option would eliminate more (76 percent) of the deficit than the three-point (18 percent) and five-point (31 percent) options.
Researchers David Autor and Mark Duggan have hypothesized that the Social Security benefit formula using the average wage index, coupled with a widening distribution of income, has created an implicit rise in replacement rates for low-earner disability beneficiaries. This research attempts to confirm and quantify the replacement rate creep identified by Autor and Duggan using actual earnings histories of disability-insured workers over the period 1979–2004. The research finds that disability replacement rates are rising for many insured workers, although the effect may be somewhat smaller than that suggested by Autor and Duggan.
Replacement rates are common and useful tools used by individuals and policy analysts to plan for retirement and assess the sufficiency of Social Security benefits and overall retirement income. Because the calculation and meaning of replacement rates differs depending on the definition of preretirement earnings, this article examines four alternative measures: final preretirement earnings, constant income payable from the present value of lifetime earnings (PV payment), wage-indexed average of lifetime earnings, and inflation-adjusted average of lifetime earnings (CPI average). The article also calculates replacement rates for Social Security beneficiaries aged 64–66 in 2005.
Complementing the second paper's focus on forecasting immigrant earnings and emigration in a "closed system" for a given population, the last article of the trilogy explores how to project immigrant earnings for an "open system"—a system that includes future immigrants. A simple method to project future immigrants and their earnings is presented.
Given immigration's recent resurgence as an important demographic fact in the U.S. economy, U.S. policy modelers are just beginning to grapple with how best to integrate immigrants into policy models. Building on the research reviewed in the first article of this series, this article puts forth a conceptual basis for incorporating immigration into a key type of policy model—microsimulation—with a focus on the projection of immigrant earnings.
As the first in a trio of articles devoted to incorporating immigration into policy models, this article traces the history of research on immigrant earnings. It focuses on how earnings trajectories of immigrants differ from those of U.S. natives, vary across immigrant groups, and have changed over time. The highlighted findings underscore key lessons for modeling immigrant earnings and pave the way for representing the earnings trajectories of immigrants in policy models.
Trends in Mortality Differentials and Life Expectancy for Male Social Security-Covered Workers, by Socioeconomic Status
This article presents an analysis of trends in mortality differentials and life expectancy by socioeconomic status for male Social Security-covered workers aged 60 or older. Mortality differentials, cohort life expectancies, and period life expectancies by average relative earnings are estimated. Period life expectancy estimates for the United States are also compared with those of other Organisation for Economic Co-operation and Development (OECD) countries.
The Board of Trustees of the Federal Old-Age and Survivors Insurance and Disability Insurance (OASDI) Trust Funds reports on the current and projected future financial status of the trust funds annually. The Trustees project trust fund finances 75 years into the future. Mortality is one key demographic assumption that feeds into these long-range projections. This article reviews a range of predictions about long-term mortality improvement and assesses where the Trustees' 75-year mortality projection falls within this range. In general, the predictions of future mortality declines in the 2004 Social Security Trustees Report tend to be in the mainstream of professional actuarial and international official government opinion and to be lower than the majority of the small group of demographers who produce comparable estimates.
This paper estimates effects on elderly poverty rates of a steady growth in incomes for 50 years. It assumes that the poverty threshold continues to be adjusted for inflation but not for increases in real incomes. Simulations with the March 1998 Current Population Survey indicate that if Social Security and Supplemental Security Income (SSI) benefit rules are not changed and if earnings and other incomes grow by 1 percent per year (the growth rate in earnings assumed in the Social Security Trustees' Report intermediate scenario) in an otherwise unchanging population, poverty among the elderly will decrease from 10.5 percent to about 7.7 percent in 2020 and to 4.8 percent in 2047. Those projected poverty rates are quite sensitive to the earnings growth rate assumption and to the assumption that benefits are not further reduced to maintain solvency. The paper quantifies the sensitivity to these assumptions and discusses several other aspects that might affect future poverty rates—changes in other income components like SSI, earnings, and pensions; changes in longevity and marital patterns; and changes in the distribution of earnings.
This paper discusses some of the major issues associated with the question of whether workers receive their money's worth from the Social Security program. An effort is made to keep the discussion as nontechnical as possible, with explanations provided for many of the technical terms and concepts found in the money's worth literature. Major assumptions, key analytical methods, and money's worth measures used in the literature are also discussed. Finally, the key findings of money's worth studies are summarized, with some cautions concerning the limitations and appropriate usage of money's worth analyses.