Census Current Population Survey Research Articles

An investigation of racial and ethnic disparities in donor sperm availability in the United States

To determine whether the racial and ethnic distribution of sperm donors contributing to US sperm banks differs from the demographics of the US population and those of US donor sperm recipients undergoing treatment with invitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI). Cross-sectional study. United States donor sperm banks, US Census, and fertility clinics reporting to the Society for Assisted Reproductive Technology Clinic Outcome Reporting System. Sperm donors from 18 banks, men aged 18-39 years on the basis of the 2021 Census Current Population Survey, and recipients of donor sperm for IVF and ICSI treatments in clinics reporting to the Assisted Reproductive Technology Clinic Outcome Reporting System from January 1, 2018, to December 31, 2020. None. Proportions of sperm donors and donor sperm recipients undergoing IVF and ICSI treatments identifying as each racial and ethnic group. Eighteen donor sperm banks were identified, encompassing 1,503 donors. Of these donors, 60.9% identified as White compared with 55.1% of the US male population and 67.7% of donor sperm recipients. Proportions of donors identifying as Asian or 2 or more races were larger than those of US men and donor sperm recipients (Asian: 18.6% vs. 6.5%, and 18.6% vs. 10.2%; 2 or more races: 11.6% vs. 2.2%, and 11.6% vs. 1.7%). In contrast, Black donors were underrepresented when compared with the US population of men and donor sperm recipients (2.8% vs. 12.9% and 2.8% vs. 13.0%). Hispanic donors were underrepresented when compared with the US population of men (6.0% vs. 22.2%). The percentages of Hispanic sperm donors and donor sperm recipients were similar (6.0% vs. 7.0%). The racial and ethnic distribution of sperm donors differs significantly from the demographics of the US male population and donor sperm recipients undergoing IVF and ICSI treatments. These findings suggest a need for targeted recruitment efforts for Black sperm donors.

Labor shortages and agricultural trucking rates

AbstractIn the United States, truck rates for perishable food, the per‐mile rate charged for trucking services to move perishable food from farms to stores, rose substantially in the post‐COVID‐19 pandemic era. We argue that rising truck rates is a signal of a broader shortage of truckers, but the connection between labor shortages, rising truck rates, and a lack of trucking services has yet to be established empirically. In this paper, we develop an empirical examination based on an equilibrium job search, matching, and bargaining framework in which we estimate the role of labor shortages in accelerating driver‐wage growth, and truck rates for agricultural products. We estimate the model by combining US Bureau of Census Current Population Survey data on truck driver wages with USDA‐Agricultural Marketing Service Service data on truck rates to establish the linkage between trucker supply and the demand for trucking services. We find that the COVID‐19 pandemic was responsible for a rise in for‐hire trucker wages of some , a rise in average truck rates of nearly and that the gap between trucker‐job openings and successful matches explains a significant, but small, rise in truck rates.

Projecting the Future Registered Nurse Workforce After the COVID-19 Pandemic

Health care delivery systems rely on a well-prepared and adequately sized registered nurse (RN) workforce. The US RN workforce decreased by more than 100 000 in 2021 during the COVID-19 pandemic-a far greater single-year drop than observed over the past 4 decades. The implication for the longer-term growth of the RN workforce is unknown. To describe recent trends in RN employment through 2023 and forecast the growth of the RN workforce through 2035. Descriptive analysis of recent trends since the start of the COVID-19 pandemic in RN employment using data from the US Bureau of the Census Current Population Survey and including employed RNs aged 23 to 69 years from 1982 through 2023, and retrospective cohort analysis of employment trends by birth year and age to project the age distribution and employment of RNs through 2035. Annual full-time equivalent (FTE) employment of RNs by age, demographics, and sector of employment; forecast of RN workforce by age through 2035. The final sample included 455 085 RN respondents aged 23 to 69 years. After a sharp decline in 2021, RN employment recovered, and the total number of FTE RNs in 2022 and 2023 was 6% higher than in 2019 (3.35 million vs 3.16 million, respectively). Using data on employment, education, and population through 2022, the size of the RN workforce was projected to increase by roughly 1.2 million FTEs to 4.56 million by 2035, close to prepandemic forecasts. Growth will be driven primarily by RNs aged 35 to 49 years, who are projected to compose nearly half (47%) of the RN workforce in 2035, up from 38% in 2022. In this study, the rebound in the total size of the US RN workforce during 2022 and 2023 indicates that the earlier drop in RN employment during the first 2 years of the COVID-19 pandemic was likely transitory. Updated forecasts of the future RN workforce are very close to those made before the pandemic.

Potential gaps in income support policies for those in poor health: The case of the earned income tax credit—A cross sectional analysis

BackgroundThe federal Earned Income Tax Credit (EITC) is the primary income support program for low-income workers in the U.S., but its design may hinder its effectiveness when poor health limits, but does not preclude, work. MethodsCross-sectional analysis of nationally-representative U.S. Census Current Population Survey (CPS) data covering 2019. Working-age adults eligible to receive federal EITC were included in this study. Poor health, as indicated by self-report of at least one problem with hearing, vision, cognitive function, mobility, dressing and bathing, or independence, was the exposure. The main outcome was federal EITC benefit category, categorized as no benefit, phase-in (income too low for the maximum benefit), plateau (maximum benefit), phase-out (income above threshold for maximum benefit), or earnings too high to receive any benefit. We estimated EITC benefit category probabilities by health status using multinomial logistic regression. We further examined whether other government benefits provided additional income support to those in poor health. Results41,659 participants (representing 87.1 million individuals) were included. 2,724 participants (representing 5.6 million individuals) reported poor health. In analyses standardized over age, gender, race, and ethnicity, those in poor health, compared with those not in poor health, were more likely to be in the no benefit (2.40% vs. 0.30%, risk difference 2.10 percentage points [95%CI 1.75 to 2.46 percentage points]), and phase-in (9.28% vs. 2.74%, risk difference 6.54 percentage points [95%CI 5.82 to 7.26 percentage points]) categories. Differences in resources by health status persisted even after accounting for other government benefits. ConclusionsEITC program design creates an important gap in income support for those for whom poor health limits work, which is not closed by other programs. Filling this gap is an important public health goal.

Gaps in the welfare state: A role-based model of poverty risk in the U.S.

Research clearly demonstrates that income matters greatly to health. However, income distribution and its relationship to poverty risk is often misunderstood. We provide a structural account of income distribution and poverty risk in the U.S., rooted in the 'roles' that individuals inhabit with relation to the 'factor payment system' (market distribution of income to individuals through wages and asset ownership). Principal roles are child, older adult, and, among working-age adults, disabled individual, student, unemployed individual, caregiver, or paid laborer. Moreover, the roles of other members of an individual's household also influence an individual's income level. This account implies that 1) roles other than paid laborer will be associated with greater poverty risk, 2) household composition will be associated with poverty risk, and 3) income support policies for those not able to engage in paid labor are critical for avoiding poverty. We test hypotheses implied by this account using 2019 and 2022 U.S. Census Current Population Survey data. The exposure variables in our analyses relate to roles and household composition. The outcomes relate to income and poverty risk. In 2019, 40.1 million individuals (12.7% of the population) experienced poverty under the U.S. Census' Supplemental Poverty Measure. All roles other than paid laborer were associated with greater poverty risk (p < .001 for all comparisons). Household composition, particularly more children and disabled working-age adults, and fewer paid laborers, was also associated with greater poverty risk (p < .001 for all comparisons). Five key policy areas-child benefits, older-age pensions, disability and sickness insurance, unemployment insurance, and out-of-pocket healthcare spending-represented gaps in the welfare state strongly associated with poverty risk. The role one inhabits and household composition are associated with poverty risk. This understanding of income distribution and poverty risk may be useful for social policy.

Increasing low-income broadband adoption through private incentives

We evaluate a program by a private Internet Service Provider (ISP) intended to encourage low-income households to subscribe to broadband internet service. As part of its approval of the Comcast-NBCU merger in 2011, the Federal Communications Commission (FCC) mandated a “voluntary commitment” by Comcast to introduce a low-income broadband program that Comcast has branded “Internet Essentials (IE).” We use data from the U.S. Census Current Population Survey (CPS) and the National Broadband Map and a differences-in-differences approach to evaluate the program's effects on subscription rates for eligible households.We find that between 2011, when the program began, and 2015, broadband adoption by eligible households—those with school-age children who were eligible for free or reduced-price school lunches—had increased by more among households that lived in areas in which Comcast provided broadband internet service than among households that lived in areas served by other cable providers.In our difference-in-differences approach, we estimate that about 66 percent of IE subscribers represent true increases in low-income adoption as a result of the program, with the remaining subscribers being households that switched from a competitor and households that would have subscribed as part of a general upward trend in adoption.We find that CPS survey respondents in IE eligible households had small and insignificant increases their likelihood of taking online courses or job training in Comcast territory relative to similar households residing in the territories of other cable providers and they showed no difference in the propensity to apply for jobs online. These results provide no evidence to support internet literacy training.We also did not find robust effects of some of the program's other components. In particular, IE makes computers available for $150, but we found no difference in the change in low-income computer ownership across cable territories. As a result, it would be hard to conclude that subsidized computers made a difference in broadband subscription despite the visceral appeal of such programs.

Why is the American South Poorer?

ABSTRACTWhile American poverty research has devoted greater attention to poverty in the Northeast and Midwest, poverty has been persistently higher in the U.S. South than in the other regions. Thus, this study investigates the enduring question of why poverty is higher in the South. Specifically, it demonstrates the role of power resources as an explanation for this regional disparity, yet also considers family demography, economic structure, and racial/ethnic heterogeneity. Using six waves (2000–2016) of U.S. Census Current Population Survey data from the Luxembourg Income Study (N = 1,157,914), this study employs a triangulation of analytic techniques: (1) tests of means and proportion differences, (2) multilevel linear probability models of poverty, and (3) binary decomposition of the South/non-South poverty gap. The comparison of means associated with the power resource hypothesis yields the largest substantive differences between the South and the non-South. In the multilevel models, adjusting for power resources yields the largest declines in the South coefficient. Binary decomposition results indicate power resources are the second most influential factor explaining the South/non-South poverty gap. Overall, power resources are an important source of the South/non-South poverty gap, though economic structure and other factors certainly also play a role. Results also suggest an important interplay between power resources and race. Altogether, these results underscore the importance of macrolevel characteristics of places, including political and economic contexts, in shaping individual poverty and overall patterns of inequality.

Increasing Low-Income Broadband Adoption through Private Incentives

A long-standing public policy goal has been ensuring that almost all citizens are connected to some minimum level of communications services. This paper evaluates Comcast’s “voluntary commitment” to introduce a low-income broadband program that Comcast has branded “Internet Essentials (IE).” We use data from the U.S. Census Current Population Survey (CPS) and the National Broadband Map and a differences-in-differences approach to evaluate the program’s effects on subscription rates for eligible households. Between 2011, when the program began, and 2015, broadband adoption by eligible households increased by more among households that lived in areas in which Comcast provided broadband internet service than among households that lived in areas served by other cable providers. Using a difference-in-differences approach, we estimate that about 66 percent of IE subscribers represent true increases in low-income adoption as a result of the program, with the remaining subscribers being households that switched from a competitor and households that would have subscribed as part of a general upward trend in adoption. We find that even among low-income households, broadband demand is relatively inelastic.

Will the RN Workforce Weather the Retirement of the Baby Boomers?

After forecasts made more than a decade ago suggested dire nursing shortages, enrollment in nursing schools doubled. The implications of this unprecedented change for the nursing workforce have not yet been fully explored. To forecast the size and age distribution of the nursing workforce to the year 2030 and to compare to demand recently projected by the Health Resources and Services Agency. A retrospective cohort analysis of employment trends by birth year and age were used to project age and employment of registered nurses (RNs) through 2030. Data on employed RNs from the United States Bureau of the Census Current Population Survey (1979-2000, N=72,222) and American Community Survey (2001-2013, N=342,712). RNs between the ages of 23 and 69 years. Annual full-time equivalent (FTE) employment of RNs in total and by single year of age. Annual retirements from the nursing workforce will accelerate from 20,000 a decade ago to near 80,000 in the next decade as baby boomer RNs continue to age. We project that this outflow will be more than offset by continued strong entry of new RNs into the workforce. Overall, we project that the registered nursing workforce will increase from roughly 2.7 million FTE RNs in 2013 to 3.3 million in 2030. We also find that the workforce will reach its peak average age in 2015 at 44.4. This increase in workforce size, which was not expected in forecasts made a decade ago, is contingent on new entry into nursing continuing at its current rate. Even then, supply would still fall short of demand as recently projected by the Health Resources and Services Agency in the year 2025 by 128,000 RNs (4%). The unexpected surge of entry of new RNs into the workforce will lead to continued net growth of the nursing workforce, both in absolute FTE and FTE per capita. While this growth may not be sufficient to meet demand, such projections are uncertain in the face of a rapidly evolving health care delivery system.

The Changing Association Among Marriage, Work, and Child Poverty in the United States, 1974–2010

Marriage and work have long been central to debates regarding poverty and the family. Although ample research has demonstrated their negative association with child poverty, both marriage and work have undergone major transformations over recent decades. Consequently, it is plausible that their association with child poverty may have also changed. Using 10 waves of U.S. Census Current Population Survey data from the Luxembourg Income Study, this study examined the relationships among marriage, work, and relative measures of child poverty from 1974 to 2010. The results indicated that both marriage and work still decrease the odds of child poverty. However, time interactions showed marriage's negative association with child poverty has declined in magnitude, whereas work's negative association with child poverty has increased in magnitude. These findings underscore the historically varying influence of demographic characteristics for poverty. They also suggest the limitations of overemphasizing marriage and the growing importance of work for reducing child poverty in America.

Potentially Avoidable Hospitalizations in Tennessee: Analysis of Prevalence Disparities Associated with Gender, Race, and Insurance

We determined (1) the relative rates of potentially avoidable hospitalizations (PAHs) in Tennessee; (2) relative rates of PAHs among gender, race, and insurance subgroups; and (3) adjusted population-based relative rates of PAHs, taking into account the influences of unobservable factors such as patient preferences, physician practice patterns, and availability of hospital beds that can also affect PAHs. We applied the Agency for Healthcare Research and Quality's definitions of ambulatory care sensitive conditions (ACSCs) to Tennessee hospitalization records to identify PAHs. Patient discharge records for 2002 came from Tennessee's Hospital Discharge Data System. Population estimates came from the U.S. Census Current Population Survey. Hospital discharges with a complete record from all nonfederal acute-care hospitals in Tennessee were considered. The relative rates of PAHs in Tennessee were higher than the U.S. rates in each of the ACSC categories. The relative rates were sensitive to adjustment for unmeasured factors such as patient preferences, physician practice patterns, and the physician supply that were reflected implicitly in the hospitalization rates of each subgroup for all discharge conditions. Within Tennessee, the type of insurance each person held was the greatest determinant of the likelihood of having a PAH, particularly for a chronic condition. The results indicate poor health of the general population in Tennessee and suggest opportunities to improve the provision of primary care for specific ACSCs and population subgroups to reduce PAHs, particularly the uninsured and individuals enrolled in Tennessee's Medicaid managed care program.

Secular Trends in Mortality From Common Cancers in the United States by Educational Attainment, 1993–2001

BackgroundDeath rates for the four major cancer sites (lung, breast, prostate, and colon and rectum) have declined steadily in the United States among persons aged 25–64 years since the early 1990s. We used national data to examine these trends in relation to educational attainment.MethodsWe calculated age-standardized death rates for each of the four cancers by level of education among 25- to 64-year-old non-Hispanic white and non-Hispanic black men and women for 1993 through 2001 using data on approximately 86% of US deaths from the National Center for Health Statistics, education level as recorded on the death certificate, and population data from the US Bureau of Census Current Population Survey. Annual percent changes in age-adjusted death rates were estimated using weighted log-linear regression models. All statistical tests were two-sided.ResultsDeath rates for each cancer decreased statistically significantly from 1993 to 2001 in people with at least 16 years of education in every sex and race stratum except lung cancer in black women, for whom death rates were stable. For example, colorectal cancer death rates among white men, black men, white women, and black women with at least 16 years of education decreased by 2.4% (P < .001), 4.8% (P = .011), 3.0% (P < .001), and 2.6% (P = .030) annually, respectively. By contrast, among people with less than 12 years of education, a statistically significant decrease in death rates from 1993 through 2001 was seen only for breast cancer in white women (1.4% per year; P = .029). Death rates among persons with less than 12 years of education over the same time interval increased for lung cancer in white women (2.4% per year; P < .001) and for colon cancer in black men (2.7% per year; P < .001) and were stable for the remaining race/sex/site strata. Temporal trends generally followed an educational gradient in which the slopes of the decreases in death rate became steeper with higher educational attainment.ConclusionThe recent declines in death rates from major cancers in the United States mainly reflect declines in more highly educated individuals.

The Changing Role of Employer Pensions: Tax Expenditures, Costs and Implications for Middle Class Elderly

By any measure, pension coverage should be at an all-time high: the nation is richer and workers are older. However, the pension world is a paradox, as pension security falls for middle-class workers and pension spending increases. The United States government directly and indirectly spends more than half a trillion dollars on the elderly each year. Direct spending is mainly through Social Security and indirect spending through the tax code's special treatment of employer and personal retirement plans. The tax favoritism is an astonishing one fourth of the direct spending. But the nature of the tax subsidy is changing. The tax subsidy for 401(k) plans, which are beneficial to employers and higher-income workers, is overtaking that for traditional pensions, which cover lower-income workers and help expand pension coverage. Since tax policy is designed to meet a public purpose, perhaps the more than $100 billion dollars per year spent indirectly on pensions could be better spent? Using tax expenditure data from the federal budget and data from both employers' surveys (the Chamber of Commerce and the National Compensation Survey) and workers' surveys (the Bureau of Census's Current Population Survey), this study reflects on alternative pension polices that transform the tax subsidy and expand Social Security and traditional pensions. Such a sharp change in federal policy may stem the loss of pension security of middle-class workers and expand it for lower-income workers.

Social Security Privatization and African Americans

Social Security (SS) was formulated on a pay-as-you-go basis. Thus, current workers’ contributions fund retired workers’ benefits. As baby boomers begin to retire, the contribution-to-benefit ratio would decline significantly. In response, some advocates of reform have been proposing privatization of the SS system. Specifically, for African Americans whose retirement incomes are highly dependent on SS incomes, the question of how to fix the system is of paramount concern. To this end, this study investigates the potential implications of SS privatization with respect to African Americans and the majority population. Using data from various sources, particularly the U.S. Bureau of Census Current Population Survey and the Survey of Consumer Finances, this study concludes via a descriptive case study approach that the benefits of the current SS program outweigh the costs. In contrast, the costs of SS privatization far exceed the benefits in the case of African Americans compared with the majority population

Toward estimating the impact of changes in immigrants' insurance eligibility on hospital expenditures for uncompensated care.

BackgroundThe Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) of 1996 gave states the option to withdraw Medicaid coverage of nonemergency care from most legal immigrants. Our goal was to assess the effect of PRWORA on hospital uncompensated care in the United States.MethodsWe collected the following state-level data for the period from 1994 through 1999: foreign-born, noncitizen population and health uninsurance rates (US Census Current Population Survey); percentage of teaching hospitals (American Hospital Association Annual Survey of Hospitals); and each state's decision whether to implement the PRWORA Medicaid bar for legal permanent residents or to continue offering nonemergency Medicaid coverage using state-only funds (Urban Institute). We modeled uncompensated care expenditures by state (also from the Annual Survey of Hospitals) in both univariate and multivariable regression analyses.ResultsWhen measured at the state level, there was no significant relationship between uncompensated care expenditures and states' percentage of noncitizen immigrants. Uninsurance rates were the only significant factor in predicting uncompensated hospital care expenditures by state.ConclusionsReducing the number of uninsured patients would most surely reduce hospital expenditures for uncompensated care. However, data limitations hampered our efforts to obtain a monetary estimate of hospitals' financial losses due specifically to the immigrant eligibility changes in PRWORA. Quantifying the impact of these provisions on hospitals will require better data sources.

Slow Growth in the United States of the Number of Minorities in the RN Workforce

To assess the extent to which the number of minority RNs has grown during the past 20 years, and to identify and compare key trends in personal and professional characteristics among minority groups and between minority and majority populations of RNs. Nursing education programs, employers, philanthropic organizations, and governments have expended considerable effort and resources to increase the number of minorities in nursing. Longitudinal analysis of trends in the number, education, employment, and earnings of minority RNs from 1977 to 1997. Descriptive analysis of data from the U.S. National Sample Surveys of the Population of Registered Nurses, 1977-1996; and data from the U.S. Bureau of the Census Current Population Survey (CPS) Outgoing Rotation Group Annual Merged Files, 1977-1997. In the past 20 years, the number of minority RNs has grown from 87,386 (or 6.3% of the total supply of RNs) in 1977 to 246,364 RNs (9.7%) in 1996. The number of Black (nonHispanic), Asian Pacific/Islanders, and American Indian/Alaskan Native nurses nearly tripled in this period while the number of Hispancis doubled. Although these rates of growth are impressive, the percentage of minorities in nursing lags considerably behind the percentage (18.3%) who are teachers, and the percentage (28.2%) in the U.S. population. Studies are needed to determine the barriers that exist in nursing education programs, health care organizations, and society in general that deter minorities from a nursing career. Without this understanding, efforts to design and implement ideas to attract, educate, and retain minorities in nursing education and later in the workplace are hampered.

Work dynamics of adults with asthma

Background: Asthma has been found to be among the most common conditions in the working age population and is among the most common causes of work limitation, but we could find no longitudinal studies of employment among persons with this condition. Methods: A panel of 601 persons with a diagnosis of asthma from random samples of northern California pulmonologists and allergy-immunologists were interviewed as many as three times at 18-month intervals by a trained survey worker to report on the severity of disease, demographic characteristics, and the extent of their employment. Their employment was then compared to that of a matched sample from the U.S. Bureau of the Census Current Population Survey. Results: Ninety-two percent of the persons with asthma had worked at some point prior to study enrollment. Among persons with onset during adulthood, only 29% of those who were not employed at disease onset were working at study enrollment, compared to 68% among those who were employed. Among the 420 persons interviewed three times, 75, 81, and 75%, respectively, were employed as of the three interviews. Among these 420, 66% were continuously employed and 15% were continuously not employed. The principal determinants of continuity of employment were demographic and employment characteristics, not medical ones. The employment rate and hours of work per week and per year of the persons with asthma were similar to the matched sample. Conclusions: Asthma has not substantially impeded the employment of the persons with asthma we studied, with the exception that those who were not employed at disease onset continued to have low employment rates. Am. J. Ind. Med. 35:472–480, 1999. © 1999 Wiley-Liss, Inc.

Mate Selection Differentials Between Whites and Blacks in the United States

The greater excess of women among blacks than among whites during the years in which mate selection and first typically occur is documented. The extent to which this imbalance has implications for differential patterns of mate selection and marital history is explored through the use of data from the U.S. Bureau of the Census Current Population Survey for June 1975. The data are weighted to reflect estimates of the resident civilian noninstitutional population of the United States age 14 and over. Findings establish that demographic necessity requires black females to have a more restricted field of eligibles than white females. It is demonstrated that black women enlarge their field of eligibles by marrying males who tend to be older who have lower educational attainment and who have previously been married. The findings suggest that the marriage squeeze young marriageable black women experience may have important consequences for courtship during adolescence entrance into and marital dissolution. (authors)

Interfaith marriage and social participation

Why not intermarry? Statistical evidence indicates that increasing numbers of young people in the United States cannot find an answer to this question. Regarding interfaith marriages, widely quoted figures from the United States Bureau of the Census Current Population Survey of March, 1957, show that in a study of 35,000 households, 7.2 per cent of Jews, 8.6 per cent of Protestants, and 21.6 per cent of Catholics have marital partners of a different faith.1 However, these figures do not ac curately represent the current rate of interfaith marriage. As pointed out by Sklare,2 these figures are a cumulative report of the ratio of inter faith to same-faith marriage for all couples alive in March, 1957?re gardless of when they were married. In order to get a more accurate picture of the rate of interfaith marriage today, we must consult other studies. These studies suggest that the cumulative report of the Census Bureau is somewhat conservative.

The Redesign of the Census Current Population Survey

Abstract In February 1954 a redesign of the Current Population Survey was introduced that provided for a more efficient system of field organization and supervision as well as some advances in methods. The sample is now spread over 230 areas instead of 68 areas with the same number of households as heretofore. A composite estimation procedure has been introduced which reduces the sampling variability for most estimates. Also, there has been a considerable reduction in the variance of variance estimates made from the sample. A statistical quality control program has been introduced to help insure results of consistently acceptable quality. Problems arose in the process of shifting from one design to the other that resulted in some significant differences between the new and old samples for a few of the estimates, especially unemployment. Apparently response errors were the principal source of difficulty, and it was possible to take steps to bring the results within sampling error range. Work on the measurement and control of response errors is being expanded.