Current Population Survey Respondents Research Articles

Assessment of Immigrants’ Premium and Tax Payments for Health Care and the Costs of Their Care

Some worry that immigrants burden the US economy and particularly the health care system. However, no analyses to date have assessed whether immigrants' payments for premiums and taxes that fund health care programs exceed third-party payers' expenditures on their behalf. To assess immigrants' net financial contributions to US health care programs. This cross-sectional analysis used 2017 data from the Medical Expenditure Panel Survey (MEPS) and the Current Population Survey (CPS) and 2014 to 2018 data from the American Community Survey. The main analyses used data from the calendar year 2017. Data from the calendar years 2012 to 2016 were also reported. Data were analyzed from June 15, 2020, to August 14, 2022. Participants comprised 210 669 community-dwelling respondents to the MEPS and CPS (main analysis) and nursing home residents who were included in the American Community Survey (additional analysis). Citizenship and immigration status. Total and per capita payments for premiums and taxes that fund health care as well as third-party payers' expenditures for health care in 2018 US dollars. Among 210 669 participants, 51.0% were female, 18.3% were Hispanic, 12.3% were non-Hispanic Black, 60.3% were non-Hispanic White, and 9.2% were of other races and/or ethnicities. A total of 180 084 participants were respondents to the 2018 CPS, and 30 585 were respondents to the 2017 MEPS. Among the 180 084 CPS respondents, immigrants accounted for 14.1% (weighted to be nationally representative), with the subgroup of citizen immigrants accounting for 6.8%, documented noncitizen immigrants accounting for 3.7%, and undocumented immigrants accounting for 3.6%; US-born citizens constituted 85.9% of the population. Relative to US-born citizens, immigrants were more often age 18 to 64 years (79.6% vs 58.3%), of Hispanic ethnicity (45.0% vs 14.0%), and uninsured (16.8% vs 7.4%); similar percentages (51.4% vs 50.9%) were female. US-born citizens vs immigrants paid similar amounts in premiums and taxes ($6269 per capita [95% CI, $6185-$6353 per capita] vs $6345 per capita [95% CI, $6220-$6470 per capita]). However, third-party expenditures for immigrants' health care ($5061 per capita; 95% CI, $4673-$5448 per capita) were lower than their expenditures for the care of US-born citizens ($6511 per capita; 95% CI, $6275-$6747 per capita). Immigrants, in general, paid significantly more per person (net contribution, $1284; 95% CI, $876-$1691) than was paid on their behalf. Most of this surplus was accounted for by undocumented immigrants, whose contributions exceeded their expenditures by $4418 per person (95% CI, $4047-$4789 per person). US-born citizens collectively paid $67.2 billion (95% CI, -$2.3 to $136.3 billion) less in premiums and taxes than third-party payers paid for their care. This deficit was mostly offset by the $58.3 billion (95% CI, $39.8-$76.8 billion) net surplus of payments from immigrants, 89% of which ($51.9 billion; 95% CI, $47.5-$56.3 billion) was attributable to undocumented immigrants. In this study, immigrants appeared to subsidize the health care of other US residents, suggesting that concerns that immigrants deplete health care resources may be unfounded.

Tax Progressivity of Personal Wages and Income Inequality

The paper examines tax progressivity and income inequality using Census Bureau Current Population Survey (CPS) personal income data. The Kakwani index is used to derive tax progressivity for All, Male, Female, White and African American personal wage income of CPS respondents, respectively. The tax progressivity results show a tax system that is partly progressive and mostly regressive. Due to its regressive nature, the tax system did not display tax progressivity for the entire period under analysis for personal wage income respondents as well as when broken-down by race and gender in the United States for years 1996 to 2011.

Interstate Migration and Employer-to-Employer Transitions in the U.S.: New Evidence From Administrative Records Data

Recent evidence has suggested that interstate migration is in decline in the United States, which might imply that the labor market is becoming more rigid. However, the sharp post-2000 decline in the non-imputed interstate migration rate in the Current Population Survey (CPS), which has received considerable attention, is not reflected in other available data. In this paper, we use administrative records data to investigate labor mobility and migration within the U.S. We investigate the discrepancy in recent migration trends in the CPS and migration rates derived from administrative records sources using CPS micro data linked to administrative records on residential location. We find that a substantial fraction of CPS respondents who are cross-state migrants in the administrative records data do not report a cross-state move in the CPS, and that this disagreement has grown over time. Despite this disagreement in recent trends in overall interstate migration, rates and trends related to economic migration are remarkably similar in available data sources.

Social Security Income Measurement in Two Surveys

As a major source of income for retired persons in the United States, Social Security benefits directly influence economic well-being. That fact underscores the importance of measuring Social Security income accurately in household surveys. Using Social Security Administration (SSA) records, we examine Social Security income as reported in two Census Bureau surveys, the Survey of Income and Program Participation (SIPP) and the Current Population Survey (CPS). Although SSA usually deducts Medicare premiums from benefit payments, both the CPS and the SIPP aim to collect and record gross Social Security benefit amounts (before Medicare premium deductions). We find that the Social Security benefit recorded in the CPS closely approximates the gross benefit recorded for CPS respondents in SSA's records, but the Social Security benefit recorded in the SIPP more closely approximates SSA's record of net benefit payments (after deducting Medicare premiums).

Panel Conditioning in Longitudinal Studies: Evidence From Labor Force Items in the Current Population Survey

Does participating in a longitudinal survey affect respondents' answers to subsequent questions about their labor force characteristics? In this article, we investigate the magnitude of panel conditioning or time-in-survey biases for key labor force questions in the monthly Current Population Survey (CPS). Using linked CPS records for household heads first interviewed between January 2007 and June 2010, our analyses are based on strategic within-person comparisons across survey months and between-person comparisons across CPS rotation groups. We find considerable evidence for panel conditioning effects in the CPS. Panel conditioning downwardly biases the CPS-based unemployment rate, mainly by leading people to remove themselves from its denominator. Across surveys, CPS respondents (claim to) leave the labor force in greater numbers than otherwise equivalent respondents who are participating in the CPS for the first time. The results cannot be attributed to panel attrition or mode effects. We discuss implications for CPS-based research and policy as well as for survey methodology more broadly.

Job Demands and Work Ability at Older Ages

Workers' ability to delay retirement depends partly on the demands of their jobs. Matching occupational characteristics from the Occupational Information Network to Current Population Survey respondents, this study finds that 7% of American workers held highly physically demanding jobs in 2006 and 35% held highly cognitively demanding jobs. The share of the workforce in physically demanding jobs fell by about one-sixth between 1971 and 2006, while the share in cognitively demanding jobs increased by more than one-third. The decline in physically demanding occupations will likely improve employment prospects for older adults, but the growth in cognitive demands may limit options for some older workers.

How Social Processes Distort Measurement: The Impact of Survey Nonresponse on Estimates of Volunteer Work in the United States

The authors argue that both the large variability in survey estimates of volunteering and the fact that survey estimates do not show the secular decline common to other social capital measures are caused by the greater propensity of those who do volunteer work to respond to surveys. Analyses of the American Time Use Survey (ATUS)--the sample for which is drawn from the Current Population Survey (CPS)--together with the CPS volunteering supplement show that CPS respondents who become ATUS respondents report much more volunteering in the CPS than those who become ATUS nonrespondents. This difference is replicated within subgroups. Consequently, conventional adjustments for nonresponse cannot correct the bias. Although nonresponse leads to estimates of volunteer activity that are too high, it generally does not affect inferences about the characteristics of volunteers.

Is the Glass Emptying or Filling Up? Reconciling Divergent Trends in High School Completion and Dropout

Conclusions about levels and trends in high school dropout differ dramatically depending on whether dropout is measured using data from the Current Population Survey (CPS) or from the Common Core of Data (CCD). Using CPS- and CCD-based drop-out measures for 16- to 19-year-olds—which differ solely in their estimates of the number of 16- to 19-year-olds holding high school credentials—the authors show that half of the differences in estimated drop-out rates are due to how private school graduates and GED recipients are counted. The other half is likely attributable to CPS respondents’ misstatements of their children’s high school completion status. The rate at which students complete (or fail to complete) high school is best measured using CCD data.

A Note on Longitudinally Matching Current Population Survey (CPS) Respondents

In this paper, we propose an approach for evaluating the trade-offs inherent in different approaches used to match Current Population Survey (CPS) respondents across various CPS surveys. Because there is some measurement error in both the variables used to identify individuals over time and in the characteristics of individuals at any point in time, any procedure used to match CPS respondents has the possibility of both generating incorrect matches and failing to generate potentially valid matches. We propose using the information contained in the variable on whether an individual lived in the same house on March 1 of the previous year as a way to gauge these trade-offs. We find that as measured by reported residence one year ago, increasing the fraction of 'invalid' merges that are rejected usually comes at a cost of decreasing the fraction of 'valid' merges that are retained. However, there are clearly some approaches that are superior to others in the sense that they result in both a higher fraction of 'invalid' merges being rejected and a higher fraction of 'valid' merges being retained. The programs to implement CPS matching across years in this paper are available .

“Fundamental Causes” of Social Inequalities in Mortality: A Test of the Theory

Medicine and epidemiology currently dominate the study of the strong association between socioeconomic status and mortality. Socioeconomic status typically is viewed as a causally irrelevant "confounding variable" or as a less critical variable marking only the beginning of a causal chain in which intervening risk factors are given prominence. Yet the association between socioeconomic status and mortality has persisted despite radical changes in the diseases and risk factors that are presumed to explain it. This suggests that the effect of socioeconomic status on mortality essentially cannot be understood by reductive explanations that focus on current mechanisms. Accordingly, Link and Phelan (1995) proposed that socioeconomic status is a "fundamental cause" of mortality disparities-that socioeconomic disparities endure despite changing mechanisms because socioeconomic status embodies an array of resources, such as money, knowledge, prestige, power, and beneficial social connections, that protect health no matter what mechanisms are relevant at any given time. We identified a situation in which resources should be less helpful in prolonging life, and derived the following prediction from the theory: For less preventable causes of death (for which we know little about prevention or treatment), socioeconomic status will be less strongly associated with mortality than for more preventable causes. We tested this hypothesis with the National Longitudinal Mortality Study, which followed Current Population Survey respondents (N = 370,930) for mortality for nine years. Our hypothesis was supported, lending support to the theory of fundamental causes and more generally to the importance of a sociological approach to the study of socioeconomic disparities in mortality.

An approach to longitudinally matching Current Population Survey (CPS) respondents

In this paper, we propose an approach for evaluating the trade-offs inherent in different approaches used to match Current Population Survey (CPS) respondents across various CPS surveys. Because there is some measurement error in both the variables used the identify individuals over time and in the characteristics of individuals at any point in time, any procedure used to match CPS respondents has the possibility of both generating incorrect matches and failing to generate potentially valid matches. We propose using the information contained in the variable on whether an individual lived in the same house on March 1 of the previous year as a way to gauge these trade-offs. We find that as measured by reported residence one year ago, increasing the fraction of “invalid” merges that are rejected usually comes at a cost of decreasing the fraction of “valid” merges that are retained. However, there are clearly some approaches that are superior to others in the sense that they result in both a higher fraction of “invalid” merges being rejected and a higher fraction of “valid” merges being retained.

Interpreting the Estimates from Four National Surveys of the Number of People Without Health Insurance

Four national surveys conducted between 1977 and 1980 seem to yield four different estimates of the number of people under 65 years old who lack health insurance. In this paper four explanations for the different estimates are assessed. The sample framework designs and methods for ex post weighting of the surveys' respondents are very similar. Nonresponses to the health insurance questions on the surveys were handled differently, and this remains a possible explanation of some of the differences in the estimates. But the most likely explanation of the differences is the following. Three of the four surveys ask people about their health insurance at the time of the interview. The fourth, the Current Population Survey, asks people about their health insurance during the previous year. But the Current Population Survey estimate of the uninsured population is remarkably close to the point-in-time estimates from the other three surveys. The same holds true for the surveys' estimates of the Medicaid population and people covered by private health insurance. Hence, if we assume that the Current Population Survey respondents are answering the health insurance questions with respect to when they are interviewed, the four surveys' estimates of the uninsured population at a point in time are very similar.