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.

Projecting retirement income of future retirees with panel data: results from the modeling income in the near-term (MINT) project.

Cross-sectional data capture only a point in time and miss individual changes in earnings, labor force participation, marriage, fertility, and health. Because panel data follow individuals over time, they do not have this problem. The problems or concerns with cross-sectional data may be compounded when these data are used to make projections. Iams and Sandell (1997) found that using panel data on earnings explained much more variation in future earnings than using cross-sectional survey data. Panel data are also needed to estimate Social Security benefits, especially for women. Because of auxiliary benefits paid to spouses, ex-spouses, and widow(er)s of entitled workers, an individual's Social Security retirement benefit depends not only on his or her earnings history, but also on his or her marital history and the earnings histories of current and previous spouses. When we compare projected unreduced Social Security benefits with what they would be if we didn't have marital history or earnings history data for men, we find that: Benefits computed using only earnings histories are not very different from benefits computed using both earnings and marital histories. Benefits computed using only current earnings and marital histories underestimate benefits for those in earlier birth cohorts and overestimate benefits for those in the most recent birth cohort. Benefits computed without either marital or earnings histories underestimate benefits for all birth cohorts, but by much more for earlier cohorts than for more recent cohorts. For women we find that benefits computed without marital or earnings histories underestimate benefits in all birth cohorts. The largest differences are for women in earlier birth cohorts. Using both marital and earnings histories to estimate unreduced Social Security benefits, we find that men are projected to continue receiving higher benefits than women, although the gap is expected to narrow as the baby boomers near retirement age. We also look at the composition of projected total income available at retirement for those with incomes in the 45th-55th percentiles of the income distribution and find that: Total income at retirement is projected to be larger for men than for women in every birth cohort. Women are projected to receive the largest share of their total income from Social Security benefits. Men are projected to receive the largest share of their total income from other income sources, although this share declines as the baby boomers near retirement age.

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.

Hospital department cost and employment increases: 1980-92.

Hospital costs have continued to rise at rates well in excess of inflation generally, even after the introduction of Medicare's per case prospective payment system (PPS). This article uses a hospital subscriber microcost reporting system to show trends in costs, wages, labor hours, and outputs for more than 50 individual departments from 1980-92. Descriptive results show dramatic growth in the operating room, catheter lab, and other technologically driven cost centers. Administrative costs also increased rapidly through 1988, but slowed thereafter. The paperwork billing and collection burden of hospitals is estimated to be $6 billion in 1992, or approximately 4 percent of total expenses.

CRNA (certified registered nurse anesthetist) manpower forecasts: 1990-2010.

The delivery of anesthesia services is at a crossroads in the United States. In 1967, there were two certified registered nurse anesthetists (CRNAs) for every anesthesiologist providing anesthetics, and the numbers are nearly equal today. A CRNA manpower forecasting model is developed in this article that shows CRNA supply and requirements from 1990 through 2010. Two estimates of CRNA shortage are presented, one based on the current trend of anesthesiologists replacing CRNAs and another assuming that CRNAs are involved in every anesthetic under anesthesiologist supervision. The results imply that more than a twofold increase in CRNA school enrollments is needed just to fill conservative baseline needs given the predicted growth in operations in all settings. Limiting anesthesiologists to a supervisory role, at the other extreme, would require a doubling of CRNAs by 2010 and an even greater expansion of CRNA schools. However, it is estimated that reversing CRNA manpower trends could save society between $750 million and $1.2 billion annually.

Report of the National Commission on Nurse Anesthesia Education. Study of nurse anesthesia manpower needs.

Nurse anesthesia manpower needs over a 20-year period from 1990 through 2010 are examined using data from a study conducted by Health Economics Research, Inc., which was submitted to Congress in February 1990. Two scenarios were considered: one representing no change in the capacity of the educational system and the other an annual increase. Under either scenario, the U.S. faces a significant shortage of CRNAs, now and in the future. The study points to a $1.2 billion savings to society through the increased use of CRNAs in anesthesia care.