The Social Security Administration's 10-percent sample file of OASDI beneficiaries.

This is another in a series of technical articles describing Social Security Administration sample files and statistical systems. The focus of this article is the 10-percent sample file that provides program and demographic information on Social Security beneficiaries under the Old-Age, Survivors, and Disability Insurance program. The article explains the contents and availability of the 10-percent sample and presents several statistical tabulations as examples of the wide variety of data that can be developed from the file.     

Identifying the race or ethnicity of SSI recipients

The Social Security Administration (SSA) has, from its beginnings, recorded the race and ethnicity provided by those who apply for a Social Security card. Although some of these data are eventually used in published tabulations when persons file for benefits, problems with the data prevent a larger selection of published tables. These problems stem from: incomplete internal SSA computer processing; changes in the racial coding schemes over time; and missing codes for younger cohorts of applicants. In spite of these problems, more data can be shared with the public. This article shows how matching administrative files and using statistical techniques make it possible to associate a race/ethnicity code with the great majority of persons receiving a payment under the Supplemental Security Income (SSI) program, a means-tested program for persons who are aged or disabled. The article follows a 1-percent sample of SSI recipients through several steps in an attempt to develop a race code. This approach can provide data for the next several years on the race of all SSI recipients, as well as data on race and ethnicity for recipients under age 40. Beyond the next few years, these techniques will become less useful, and other methods will be needed. SSA is in the process of revising its standards for classification of federal data on race and ethnicity. The census for year 2000 will include coding changes. Other federal agencies will be given as long as January 2003 to comply with the new guidelines.     

SSI case closures.

In 1990, about 800,000 persons receiving payments from the Supplemental Security Income (SSI) program had their cases closed and their payments stopped. The most frequently cited reasons for these case closures were excess income and death. Of those cases closed for reasons other than death, about 43 percent eventually returned to payment status. This study presents an analysis of a 1-percent sample of SSI recipients whose cases were closed during 1990. Longitudinal data on closures were collected by merging a series of monthly 1-percent sample files containing SSI administrative data. These are the first published data on reasons for SSI case closures.     

Disabled SSI recipients who work.

A substantial working history is not a characteristic normally associated with recipients of Supplemental Security Income (SSI) payments. Yet nearly 80 percent of all SSI disabled recipients have worked before applying for SSI and 20 percent work after they start receiving SSI payments. This study takes a look at various facets of the work histories of disabled SSI recipients, including the amount and types of work done, and the types of recipients who seem most likely to work. Information on these histories was obtained from a 1-percent sample file cross-matched to SSI administrative records and other agency files containing data on employment histories and industry codes. Also discussed are the implications that these work histories have for efforts by the Social Security Administration to encourage SSI disabled recipients to begin or resume work.     

The 2006 Earnings Public-Use Microdata File: an introduction

This article introduces the 2006 Earnings Public-Use File (EPUF) and provides important background information on the file's data fields. The EPUF contains selected demographic and earnings information for 4.3 million individuals drawn from a 1-percent sample of all Social Security numbers issued before January 2007. The data file provides aggregate earnings for 1937 to 1950 and annual earnings data for 1951 to 2006. The article focuses on four key items: (1) the Social Security Administration's experiences collecting earnings data over the years and their effect on the data fields included in EPUF; (2) the steps taken to "clean" the underlying administrative data and to minimize the risk of personal data disclosure; (3) the potential limitations of using EPUF data to estimate Social Security benefits for some individuals; and (4) frequency distributions and statistical tabulations of the data in the file, to provide a point of reference for EPUF users.     

Unearned income of Supplemental Security Income recipients, May 1982

About 3 out of 5 Supplemental Security Income recipients have some type of unearned income. The major source of this income is Social Security benefits. Other sources are veterans' pensions, pensions from employment, asset income, and support and maintenance in-kind. This article presents for the first time detailed estimates of the distributions of these income sources, based on a 1-percent sample of May 1982 recipients. In two-thirds of the cases, the Social Security benefits were between $100 and $260 a month. Unearned income from sources other than Social Security was usually smaller. Only 5 percent of the SSI population received less tha $100 in Social Security benefits. Differences in distributions for retired-worker and disabled-worker benefits, and for widow's and children's benefits are noted.     

Mortality reporting in SSA linked data: preliminary results

The earnings and benefit data of the Social Security Administration represent a fairly large and balanced sample of present and past wage earners nationwide. Since the incentives for reporting deaths to the Social Security Administration mean that deaths are reported as a matter of course, this data base serves as an interesting prospect for examining problems of differential mortality. Variables available include age, race, sex, industry, and place of employment. To check on the coverage and content differences between social security and death certificate data, a sample study is being undertaken that links the two sources for 1975 decedents. This article provides a preliminary examination of the differences between the presumably complete frame of death certificates and the social security record data. Related efforts now in progress to improve available information for use in further mortality research are also discussed briefly.     

The net effects of the Project NetWork return-to-work case management experiment on participant earnings, benefit receipt, and other outcomes

The Social Security Administration (SSA) initiated Project NetWork in 1991 to test case management as a means of promoting employment among persons with disabilities. The demonstration, which targeted Social Security Disability Insurance (DI) beneficiaries and Supplemental Security Income (SSI) applicants and recipients, offered intensive outreach, work-incentive waivers, and case management/referral services. Participation in Project NetWork was voluntary. Volunteers were randomly assigned to the "treatment" group or the "control" group. Those assigned to the treatment group met individually with a case or referral manager who arranged for rehabilitation and employment services, helped clients develop an individual employment plan, and provided direct employment counseling services. Volunteers assigned to the control group could not receive services from Project NetWork but remained eligible for any employment assistance already available in their communities. For both treatment and control groups, the demonstration waived specific DI and SSI program rules considered to be work disincentives. The experimental impact study thus measures the incremental effects of case and referral management services. The eight demonstration sites were successful in implementing the experimental design roughly as planned. Project NetWork staff were able to recruit large numbers of participants and to provide rehabilitation and employment services on a substantial scale. Most of the sites easily reached their enrollment targets and were able to attract volunteers with demographic characteristics similar to those of the entire SSI and DI caseload and a broad range of moderate and severe disabilities. However, by many measures, volunteers were generally more "work-ready" than project eligible in the demonstration areas who did not volunteer to receive NetWork services. Project NetWork case management increased average annual earnings by $220 per year over the first 2 years following random assignment. This statistically significant impact, an approximate 11-percent increase in earnings, is based on administrative data on earnings. For about 70 percent of sample members, a third year of followup data was available. For this limited sample, the estimated effect of Project NetWork on annual earnings declined to roughly zero in the third followup year. The findings suggest that the increase in earnings may have been short-lived and may have disappeared by the time Project NetWork services ended. Project NetWork did not reduce reliance on SSI or DI benefits by statistically significant amounts over the 30-42 month followup period. The services provided by Project NetWork thus did not reduce overall SSI and DI caseloads or benefits by substantial amounts, especially given that only about 5 percent of the eligible caseload volunteered to participate in Project NetWork. Project NetWork produced modest net benefits to persons with disabilities and net costs to taxpayers. Persons with disabilities gained mainly because the increases in their earnings easily outweighed the small (if any) reduction in average SSI and DI benefits. For SSA and the federal government as a whole, the costs of Project NetWork were not sufficiently offset by increases in tax receipts resulting from increased earnings or reductions in average SSI and DI benefits. The modest net benefits of Project NetWork to persons with disabilities are encouraging. How such benefits of an experimental intervention should be weighed against costs of taxpayers depends on value judgments of policymakers. Because different case management projects involve different kinds of services, these results cannot be directly generalized to other case management interventions. They are nevertheless instructive for planning new initiatives. Combining case and referral management services with various other interventions, such as longer term financial support for work or altered provider incentives, could produc     

A note on sampling variance estimates for Social Security program participants from the Survey of Income and Program Participation

The Census Bureau's Survey of Income and Program Participation (SIPP) provides data that can be used to study the characteristics of Old-Age, Survivors, and Disability Insurance (OASDI) and Supplemental Security Income (SSI) program participants. It is important that estimates of sampling errors accompany such studies because the estimates may have large sampling errors due to the small number of sample cases available for specific analyses. The generalized sampling variances provided by the Census Bureau did not identify separately either program's participants and, therefore, do not pertain directly to analyses of these groups. This article describes an approach to the direct computation of sampling variances for OASDI and SSI program participants. The approach uses the pseudo stratum and half-sample codes available in SIPP public use data files. A table of generalized standard errors is constructed for participants of both programs aged 18 or older. Generalized standard errors could not be computed for child beneficiaries under age 18 because of a wide variation of design effects across subpopulation estimates.     

Results of the Office of Policy's 2001 User Satisfaction Survey

In the summer of 2001, individuals who had an active professional interest in research or policy issues related to Social Security or to Supplemental Security Income (SSI) were surveyed by the Gallup Organization, under contract to the Social Security Administration (SSA). The survey had two goals. One was to determine the extent to which SSA's research, statistical, and policy analysis work was focusing on topics and issues of widespread concern to users. The other was to gauge user satisfaction with the products of that work. Most of SSA's research and analysis is carried out by the Office of Policy. Responses were obtained from 1,043 persons out of a sample of 1,800. Respondents were most likely to have been interested in Social Security or SSI issues for at least 10 years, to have used information from SSA multiple times during the preceding 2 years, and to have worked for the government, a college or university, or a nonprofit service organization. Results suggest that most users were satisfied with the quality of SSA's research, statistical, and policy analysis information products. Overall, 86 percent of those who had used products from SSA in the preceding 2 years were very or somewhat satisfied, 10 percent were neither satisfied nor dissatisfied, and only 4 percent were somewhat or very dissatisfied. 70 percent to 89 percent of users were satisfied with the accuracy, clarity, comprehensiveness, objectivity, timeliness, usefulness, and ease of finding the information. They were most satisfied with accuracy and objectivity and least satisfied with timeliness and the accessibility of products. 62 percent of respondents were very or somewhat satisfied with SSA's identification of and work on new and emerging research and policy issues over the past 2 years, 24 percent were neither satisfied nor dissatisfied, and 15 percent were somewhat or very dissatisfied. Respondents were asked to characterized their professional interests in two ways--as related primarily to Social Security, SSI, or both programs, and as related primarily to retirement issues, disability issues, or issues in both areas. Satisfaction varied, sometimes substantially, with professional interests. On all measures, Social Security specialists were more satisfied than SSI specialists, and retirement specialists were more satisfied than disability specialists. Note that of respondents interested primarily in the SSI program, 93 percent were also more interested in disability issues. The survey asked users to recommend ways of improving SSA's research, statistical, and policy analysis, and to recommend issues for SSA's research and policy agenda in the near future. Only 39 percent of users offered recommendations for improvement, and of those recommendations, no single issue predominated. In general, the most common recommendations were for increased data analysis in particular areas and for improved dissemination of information. A large proportion of respondents (77 percent) suggested issues that SSA should include in its research and policy agenda. Although the recommendations were quite diverse, two types appeared to dominate--disability issues and programs, and Social Security solvency and reform proposals. Some of the suggestions for disability research and policy work seem to suggest that the lower satisfaction ratings of specialists in this area reflect generalized dissatisfaction with the structure and administration of disability programs themselves rather than dissatisfaction with the quality of SSA's research and policy products. The Office of Policy is developing specific proposals for improving products and services, based on the survey's findings. By improving the quality and content of its statistical and analytical information, SSA will continue its efforts to meet the needs of a diverse research and policy community.     

The Balance‐Sample Size Frontier in Matching Methods for Causal Inference

We propose a simplified approach to matching for causal inference that simultaneously optimizes balance (similarity between the treated and control groups) and matched sample size. Existing approaches either fix the matched sample size and maximize balance or fix balance and maximize sample size, leaving analysts to settle for suboptimal solutions or attempt manual optimization by iteratively tweaking their matching method and rechecking balance. To jointly maximize balance and sample size, we introduce the matching frontier, the set of matching solutions with maximum possible balance for each sample size. Rather than iterating, researchers can choose matching solutions from the frontier for analysis in one step. We derive fast algorithms that calculate the matching frontier for several commonly used balance metrics. We demonstrate this approach with analyses of the effect of sex on judging and job training programs that show how the methods we introduce can extract new knowledge from existing data sets.     

The New Beneficiary Data System: the first phase.

The completion of field work for the 1991 New Beneficiary Followup has transformed the 1982 New Beneficiary Survey from a simple cross-sectional data collection effort to the first step in a new longitudinal data base, which is further enriched with information obtained from administrative records. The resulting New Beneficiary Data System will make it possible to develop a better understanding of the dynamics of the experience of aged and disabled populations over the long term. A review of 24 reports prepared by Social Security Administration analysts who have used data from the first wave of interviews reveals a great deal of variation among different types of beneficiaries with respect to income, assets, pensions, work, health, and other factors. These reports provide a useful context for examining patterns of stability and change in the beneficiary population as the data from administrative records and later interviews are added to the data base and used to address issues of policy interest.     

Characteristics of individuals with integrated pensions

Employer pensions that integrate benefits with Social Security have been the focus of relatively little research. Since changes in Social Security benefit levels and other program characteristics can affect the benefit levels and other features of integrated pension plans, it is important to know who is covered by these plans. This article examines the characteristics of workers covered by integrated pension plans, compared to those with nonintegrated plans and those with no pension coverage. Integrated pension plans are those that explicitly adjust their benefit structure to help compensate for the employer's contributions to the Social Security program. There are two basic integration methods used by defined benefit (DB) plans. The offset method causes a reduction in employer pension benefits by up to half of the Social Security retirement benefit; the excess rate method is characterized by an accrual rate that is lower for earnings below the Social Security taxable maximum than above it. Defined contribution (DC) pension plans can be integrated along the lines of the excess rate method. To date, research on integrated pensions has focused on plan characteristics, as reported to the Bureau of Labor Statistics (BLS) through its Employee Benefits Survey (EBS). This research has examined the prevalence of integration among full-time, private sector workers by industry, firm size, and broad occupational categories. However, because the EBS provides virtually no data on worker characteristics, analyses of the effects of pension integration on retirement benefits have used hypothetical workers, varying according to assumed levels of earnings and job tenure. This kind of analysis is not particularly helpful in examining the potential effects of changes in the Social Security program on workers' pension benefits. However, data on pension integration at the individual level are available, most recently from the Health and Retirement Study (HRS), a nationally representative survey of individuals aged 51-61 in 1992. This dataset provides the basis for the analysis presented here. The following are some of the major findings from this analysis. The incidence of pension integration in the HRS sample is 32 percent of all workers with a pension (14 percent of all workers). The HRS can also identify integrated DC plans, a statistic that is not available from BLS data. The rate of integration for workers with only DC plans is 8 percent. After controlling for other variables, several socio-demographic characteristics are significantly related to the incidence of integration. The probability of having an integrated pension is 4.6 percentage points less for men compared to women. Non-Hispanic blacks are 6.4 percentage points less likely than non-Hispanic whites to have integrated pensions. Union members are 14 percentage points less likely to have integrated pensions, while workers with less than a graduate level education are at least 15 percentage points more likely to have a pension that is integrated. Some earnings and pension characteristics are also significantly correlated with pension integration. Earnings are positively related, with the probability of having an integrated pension increasing by 2 percentage points for an increase of $1,000 in annual pay. An even larger effect comes from earning at or above the Social Security taxable maximum. Workers at or above this income level are 10 percentage points more likely to have an integrated plan, but for those with more than one plan the probability of pension integration goes up by 13 percentage points.     

Development and evaluation of a survey-based type of benefit classification for the Social Security program

This attempt to classify Social Security beneficiaries by type of benefit using the new Survey of Income and Program Participation (SIPP) has yielded promising results. Evaluations of the classification algorithm based on comparison of the estimated number of beneficiaries in each of the several categories to independent estimates of the number of beneficiaries indicate that in most instances a high percentage of each category has been identified. For the most part, age and monthly benefit amount size distributions seem reasonable. Furthermore, very few persons in the sample who were identified as Social Security beneficiaries could not be assigned to one or another of the benefit groups. The classification procedure also represents a marked improvement over earlier efforts to classify type of beneficiary that relied on data from the March Supplement to the Current Population Survey (CPS). Most importantly, the benefit classification scheme based on SIPP data appears to provide reasonably reliable distinctions between retired-worker and widow benefits for widowed women and permits the identification of retired-worker benefits for those women dually entitled to retired-worker and spouse benefits. In addition, the distinction between disabled- and retired-worker benefits for recipients aged 62-64 appears to be reasonably reliable, and for women under age 65, the classification procedure distinguishes between disabled-worker benefits on the one hand and widow and widowed mother benefits on the other. Finally, SIPP procedures for identifying minor child beneficiaries yield markedly better estimates than those available from the Current Population Survey. These improvements in the SIPP context are due entirely to the presence of information not collected in the CPS. The enhancement of the SIPP data set in turn resulted directly from an assessment of earlier work carried out by Projector and Bretz in the CPS context and on extensive research into the nature of Social Security reporting errors in the CPS. The superiority of the SIPP data set is linked principally to the presence of three pieces of information: the Medicare BIC, the direct question on reasons for benefit receipt asked of persons under age 65, and the direct measurement of recipiency and amount of benefits for minor children. Other items of some import include self-reported work disability, retirement status (ever retired from a job), previous marital status for currently married women, age first prevented from working due to a health condition, and Supplemental Security Income misreporting items.(ABSTRACT TRUNCATED AT 400 WORDS)     

Using data for couples to project the distributional effects of changes in Social Security policy

Under Social Security program rules, the aged receive Social Security benefits either as retired workers, spouses, divorced spouses, or widow(er)s. Retired-worker benefits are paid to workers who have 40 quarters of coverage over their lives. Auxiliary benefits are paid to spouses, divorced spouses, and widow(er)s of retired workers. Spouse benefits are computed using the earnings history of the current spouse for individuals who are married when they apply for benefits. Divorced spouse and widow(er) benefits are computed using the earnings history of the ex-spouse or deceased spouse with the highest PIA. A large number of retired women are entitled to auxiliary benefits. Some women receive only auxiliary benefits, while the majority of women have their retired-worker benefit supplemented by auxiliary benefits. Because the level of Social Security benefits can reflect the relative lifetime earnings of both spouses, as a couple, using individual data to estimate Social Security benefits will tend to underestimate actual benefits, particularly for women. However, detailed data for couples are often difficult to obtain. There is currently no known single data source that includes both marital and earnings history information. As a result, many researchers resort to estimating Social Security benefits using individual data or aggregate data, such as the average earnings of men and women. The Social Security Administration's Office of Research, Evaluation, and Statistics, with substantial assistance from the Brookings Institution, the Urban Institute, and the RAND Corporation, is developing a model that overcomes this problem by using the marital and earnings histories of both marital partners to estimate Social Security benefits. The Modeling Income in the Near Term (MINT) model projects retirement income (Social Security benefits, pension income, asset income, and earnings of working beneficiaries) from 1997 through 2031 for current and future Social Security beneficiaries using a unique data source--the Survey of Income and Program Participation (SIPP)--matched to Social Security Administration records. Using MINT data, this article establishes the importance of using data for couples rather than individuals by examining the impact of changing Social Security benefits to reflect 40 years of lifetime earnings rather than the 35 years required under current law. We compare the effect of this policy change on married women by estimating their benefits with data for couples and with individual data. Results indicate that: Using individual data overestimates the projected reduction in retirement benefits brought about by the policy change and makes the effects on women look more severe than they actually are. Because older birth cohorts are more likely than younger cohorts to receive auxiliary benefits based on their husbands' average lifetime earnings, the bias created by using individual data is projected to be much larger for older cohorts than for younger cohorts. This article emphasizes the importance of using data for couples to estimate Social Security benefits, particularly for women. Although our focus is on married women, using data for couples is just as important for calculating the retirement benefits of divorced and widowed individuals. For individuals who are divorced or widowed at retirement, their Social Security benefits are based on their own earnings history, as well as the earnings histories of each of their previous spouses.     

Divorced women at retirement: projections of economic well-being in the near future.

The Modeling Income in the Near Term (MINT) data system projects retirement income for persons retiring in the 1990s through 2020. Using those data, we examine the economic well-being of divorced women at retirement. The MINT data system improves upon previous estimates of Social Security benefits by: Measuring and projecting years of marriage to determine if the 10-year requirement has been met, Projecting lifetime earnings until retirement and eligibility for Social Security retirement benefits, and Estimating lifetime earnings of former spouses. MINT also makes independent projections of each retiree's income from pensions, assets, and earnings (for working beneficiaries). As a result of changes in marital patterns, MINT projects that the proportion of women who are divorced will increase. At the same time, the proportion of those women who are eligible for auxiliary benefits is projected to decrease, for two main reasons. First, changes in women's earnings and work patterns result in more women receiving retired-worker benefits based on their own earnings. Second, an increased number of divorced women will not meet the 10-year marriage requirement for auxiliary benefits. Despite the projected decrease over time in eligibility rates for auxiliary benefits, the level of Social Security benefits is projected to change little between the older and younger birth cohorts of divorced women entering retirement. According to the MINT data, the most vulnerable of divorced women will be those who have not met the 10-year marriage requirement. Poverty rates will be higher for them than for all other divorced women. This group of divorced women is projected to grow as more and more women divorce from shorter marriages. With more women divorcing and with fewer divorced women meeting the 10-year marriage requirement, the proportion of economically vulnerable aged women will increase when the baby boom retires. Further research is warranted on this long neglected subject. Analyses of divorced women's economic well-being by major socioeconomic characteristics such as race and ethnicity and education are of particular interest. Such analyses can be supported by the MINT data system.     

Economic security, 1935-85

The economic well-being of both working and retired persons has improved significantly since the Social Security Act was passed in 1935. More people are employed now than at any time since then, despite declining employment among the aged and more years of school attendance among the young. The ratio of non-workers to workers--a broad measure of dependency--is lower now than at any time since the 1930's. Social security has grown and matured to become a strong foundation of retirement income, and other work-related employee benefits have grown in tandem with social security. Employer contributions for social insurance and related employee benefits have grown from being about a 1-percent supplement to aggregate wages and salaries in 1929 to nearly 20 percent today. Social security and Medicare account for just over a fourth of employer contributions, while other public and private retirement systems represent just over another fourth. The balance of benefits for active workers includes group health and life insurance, unemployment insurance, workers' compensation, temporary disability insurance, and related benefits. Pay for holidays, vacations, and sick leave is estimated to have increased from less than 1 percent of aggregate pay in 1929 to about 10 percent today. The improved economic status of the aged has been documented by a series of surveys beginning in 1941-42 and carried out from time to time until 1972 and biennially since 1976. The earlier surveys were supplemented with estimates from record data and tables from the Bureau of the Census. The income of the aged as a whole has grown by about 75 percent over the past 2 decades after taking inflation into account. The income of the aged as a whole grew faster than that of the nonaged in the 1970's and early 1980's when real social security benefits increased faster than inflation and wages lagged behind it. New beneficiaries in 1982 were in better health and were more likely to retire because they wanted to than was true of their counterparts in the early 1940's. Not only have benefits continued to be the main component of income of the aged as total incomes have grown, but also benefits have become much larger in relation to average earnings than used to be the case. Retired workers are much more likely now than in the early 1940's to have other pensions or income from assets to supplement benefits.(ABSTRACT TRUNCATED AT 400 WORDS)     

Dollars on the Sidewalk: Should U.S. Presidential Candidates Advertise in Uncontested States?

Presidential candidates in the United States do not intentionally advertise in states without rigorous competition for electoral votes. However, in some areas of noncompetitive states, media markets overlap with battleground states, exposing these regions to political ads. These spillover advertisements allow us to examine the relationship between advertisements and individual campaign contributions, with data from the Wisconsin Advertising Project and the Federal Elections Commission. Using propensity‐score matching within uncontested states, we find that 2008 aggregate giving in zip codes exposed to political ads was approximately $6,100 (28.1% of mean contributions) more than in similar zip codes without advertisements.     

Noncitizens and the Supplemental Security Income program

The Supplemental Security Income (SSI) program, established by the Social Security Amendments of 1972 (Public Law 92-603), was designed to provide cash assistance to needy aged, blind, and disabled citizens, and noncitizens lawfully admitted for permanent residence or permanently residing under color of law. Since then, this means-tested program has undergone many legislative changes that affect the eligibility status of noncitizens. This article, presented in three parts, discusses the legislative history of noncitizen eligibility, and details relevant laws enacted since the program's inception; provides current data on the trends and changes of the noncitizen population; and describes the larger population of foreign-born SSI recipients, of which the noncitizens are a part. Data on the number of SSI recipients born abroad but who had become citizens before applying for SSI payments were not previously available. Analytical data are from the Supplemental Security Record (SSR) matched to the Social Security Number Identification (Numident) file.