Current Population Survey Research Articles

COVID-19 and Weekly Hours Worked in Single-Person Households in the United States

AbstractIn early 2020, single-person households constituted 17% of the labor force in the United States. How did these single-person households fare in terms of their weekly hours worked following the outbreak of the coronavirus disease 2019 pandemic? To answer the question, this paper used panel data from the Basic Monthly Current Population Survey and worked with a balanced panel of 2,659 single-person households that were consecutively surveyed in February, March, and April of 2020; that is, a period including the outbreak, as well as the first peak of the pandemic. In terms of the change in total hours worked per week, the paper recorded decreases across most demographic groups. Particularly, the paper documented that single-person households in any of the groups of Black, Hispanic, high school graduates, those aged less than 25, those aged between 31 and 35, and those between 46 and 50 were among the most severely negatively affected groups. Moreover, whether fixed or random effects models were used, the study concluded with a positive effect for teleworkability (the capability to work remotely) as well as with a positive effect for essential jobs on total weekly hours worked. Finally, the author included the need for safeguarding teleworkability in a broader policy discussion, as well as the need for developing coping mechanisms against disruptions of weekly hours worked especially under extreme hardships and crises.

Patterns of Emerging Tobacco Product Use Among U.S. Adults, 2019-2022.

Quantifying the use of emerging tobacco products such as nicotine pouches (NPs) and heated tobacco products (HTPs) is crucial for informing public health interventions and measuring their potential effects on tobacco use morbidity, mortality and benefits from complete tobacco cessation. Using data from the May 2019 and September 2022 cycles of the Tobacco Use Supplement to the Current Population Survey (TUS-CPS), we calculated U.S. population-wide estimates of ever and/or current use of NPs and HTPs by key socio-demographic characteristics, cigarette smoking status and preference of characterizing flavors in NPs. We present weighted frequencies, proportions and associated 95% confidence intervals. Analyses were conducted in 2024. In both survey cycles, a substantial fraction of adults who ever used HTPs had never smoked cigarettes (52.0% in 2019; 27.4% in 2022). Among those who currently used HTPs or NPs (2022 only), many reported having never smoked cigarettes (42.5% and 41.4%, respectively), while many also reported currently smoking (32.2% and 24.8%, respectively). We observed similar sociodemographic characteristics across use of both HTPs and NPs. Mint was the most common flavor choice among adults who currently used NPs (52.8%). Continued surveillance of emerging tobacco products such as HTPs and NPs can inform public health approaches and support future research to better quantify the health consequences from these products.

Regional and social disparities in cessation behavior and motivation to quit among U.S. adult current smokers, Tobacco Use Supplement to the U.S. Census Bureau's Current Population Survey 2014-15 and 2018-19.

Variation in smoking cessation behaviors and motivators across the United States may contribute to health disparities. This study investigates regional differences over time in two key cessation motivators (quit interest and doctor's advice to quit) and two cessation behaviors (past-year quit attempts and recent successful cessation) across diverse demographic factors. Data were analyzed from two releases of the Tobacco Use Supplement to the U.S. Census Bureau's Current Population Survey (TUS-CPS) for the years 2014-15 and 2018-19. The analysis included sex, age, race and ethnicity, education, marital status, employment status, and household income. Findings from 2018 to 2019 TUS-CPS revealed that quit interest was highest in the Northeast and lowest in the Midwest, while doctor's advice to quit was most prevalent in the Northeast and least in the West. Past-year quit attempts were most common in the Northeast and least in the South. Recent successful cessation (defined as quitting for 6 to 12 months) was highest in the Northeast and Midwest, with the South showing the lowest rates. Compared to the 2014-15 survey, 14 demographic groups (7 in the Midwest, 6 in the South, and 1 in the West) showed decreases in both quit interest and actions to quit. Notably, the Asian non-Hispanic group in the Northeast experienced a significant decrease in quit interest (-17.9%) but an increase in recent successful cessation (+369.2%). Overall, the study indicates that while quit interest was highest in the West, the South exhibited the lowest rates of quit attempts and successful cessation. Significant differences were also noted between age groups. These findings highlight the need for further research into cessation behaviors at more granular levels to inform policies aimed at reducing smoking-related health disparities among populations facing the greatest challenges in cessation.

Disability Status and Voting Behavior in United States Elections in Older Men and Women: Findings from the 2020 Current Population Survey Voting and Registration Supplement

Disability Status and Voting Behavior in United States Elections in Older Men and Women: Findings from the 2020 Current Population Survey Voting and Registration Supplement

Paid Sick Leave Mandate and Its Impact on Labor Dynamics in California

The implementation of the Paid Sick Leave (PSL) Mandate in several cities and states since 2006 has enhanced workers health and productivity. This research paper evaluates the impact of PSL mandates on the weekly working hours of full-time workers in California State, using the traditional Difference-in-Difference model and Current Population Survey (CPS) data. It is found by the analysis that a notable rise in full-time employees working hours in California was experienced after the publication of PSL in 2015, contrasting with the steadily decreasing patterns in Texas. The positive impacts are confirmed by regression models. The findings depict that the PSL mandate may reduce full-time employees working hours at first glance, but its positive externalities could offset that negative impact. This study contributes a unique insight into the influence on a certain sort of workers those working full-time, instead of the labor force as a whole, and provides valuable suggestions to policymakers, employers, and workers considering the policy in a full picture.

A novel approach to assessing food insecurity for small geographic areas using household living budgets

AbstractThe USDA Economic Research Service has monitored food insecurity at national and state levels since 1995 using the Current Population Survey Food Security Supplement. But if a food insecurity measure is to inform action and target interventions, it must be constructed for smaller geographic levels that consider geographic price differences. This article constructs a novel measure of food insecurity using an alternative approach based on financial needs of households, known as the household living budget (HLB). The HLB is defined as the income required to satisfy a household's essential needs, enabling it to maintain a modest yet sufficient standard of living while covering federal and state income taxes. The HLB is constructed at the census tract level and incorporates three key determinants of food insecurity: household size and composition, household income, and food costs. We demonstrate how the HLB along with publicly available data can be used to construct a food insecurity measure using a residual income approach to assess if households are able to afford paying for food expenditures and assess the qualification thresholds of the Supplemental Nutrition Assistance Program (SNAP). Food insecurity estimates are obtained for households in Washington, D.C. and benchmarked to regional results provided by a survey sponsored by the Capital Area Foodbank.

Overall and race-specific associations between state-level minimum wage policy and food insecurity in the United States

BackgroundIn the USA, states can set higher minimum wages than the federal government. We investigated the association between state minimum wages and racial/ethnic inequities in food insecurity.MethodsHousehold-level food insecurity and...

Who uses cigarette price promotions in the U.S.? examining the combined effect of social identities

IntroductionTobacco industry offers price promotions to promote cigarette smoking. Several social identities (e.g., women, people with low socioeconomic status) are independently associated with exposure and use of these promotions. We examined how combinations of social identities relate to use of cigarette price promotions. MethodsWe analyzed data from adults who reported current cigarette smoking and purchased their own cigarettes in the 1995–2019 U.S. Tobacco Use Supplement to the Current Population Survey (n = 35,749). We applied a statistical-learning boosting algorithm followed by weighted logistic regression models with 3-way interactions to identify combinations of social identities related to cigarette price promotion use. ResultsThis analysis revealed that use of cigarette price promotions varied greatly by combinations of social identities. For example, estimated 39.80% of Asian female adults living in the Midwest used these promotions in their last purchase. Meanwhile, estimated 2.80% of Asian male 31–45-year-old adults reported the same behavior. Additionally, American Indian/Alaskan Native peoples were indicated in four of the ten combinations of social identities with highest prevalence of cigarette price promotion use. DiscussionOur approach allowed for discovery of previously less appreciated social identities (e.g., race/ethnicity) related to high probability of using cigarette price promotions. These findings also revealed how combination of social-identity-related power dynamics may shape use of cigarette price promotions. Adopting this perspective in future surveillance and policy evaluation effort will provide better understanding in commercial tobacco use disparities.

Crossing borders and generations: examining the relationship between music engagement and immigration generation

ABSTRACT The purpose of this study was to examine differences in music engagement across immigration generations among different racial/ethnic groups for adults living in the United States. I conducted secondary analysis of two 2018 nationally representative surveys, the February Current Population Survey (CPS) and the Self-Perceptions of Creativity and Arts Participation (SPCAP). CPS questions for music engagement included formalised operations of performing and practicing instruments and singing, whereas the questions in the SPCAP study used expanded/informal language. Initial descriptive and bivariate analyses demonstrated differences in music engagement by immigration generation and race. However, multivariate logistic regression results indicated that substantive differences between immigration generations and racial and ethnic groups were mostly diminished, though the specific ways in which members of different immigrant and cultural groups engage with music may differ. Implications for culturally sustaining pedagogy in K-12 music education and suggestions for future research are discussed.

COVID-19 School Closures Were Associated With A Decline In Employment For Female Nurses With Young Children.

COVID-19-related school closures may have had unintended consequences affecting the ability of health professionals with school-age children to work-particularly female professionals, who often have disproportionate child care responsibilities. We combined labor-force participation data from the Current Population Survey with measures of school closures based on cell phone mobility data to examine the association between local school closures and labor supply among female nurses during the COVID-19 pandemic. During the six months after large-scale closure of schools at the end of the 2019-20 school year (March-August2020), among counties with above-median school closure rates, the employment rate of female nurses with young children declined by 12.5percentage points versus the rate during the prior four months (November2019-February2020); the change in the employment rate in below-median counties was not statistically significant. No statistically significant changes were observed among female nurses who had only older children or among male nurses. During public health emergencies, policies should consider how disruptions to schooling may affect the labor supply of health care professionals. Strategies might include direct provision of child care by health care facilities, subsidies and other aid to child care centers, or subsidies to health care workers for affordable child care.

Inference about a Common Mean Vector from Several Independent Multinormal Populations with Unequal and Unknown Dispersion Matrices

This paper addresses the problem of making inferences about a common mean vector from several independent multivariate normal populations with unknown and unequal dispersion matrices. We propose an unbiased estimator of the common mean vector, along with its asymptotic estimated variance, which can be used to test hypotheses and construct confidence ellipsoids, both of which are valid for large samples. Additionally, we discuss an approximate method based on generalized p-values. The paper also presents exact test procedures and methods for constructing exact confidence sets for the common mean vector, with a comparison of the local power of these exact tests. The performance of the proposed methods is demonstrated through a simulation study and an application to data from the Current Population Survey (CPS) Annual Social and Economic (ASEC) Supplement 2021 conducted by the U.S. Census Bureau for the Bureau of Labor Statistics.

Food insecurity trends and disparities according to immigration status in the US households, 2011–2021

BackgroundFood insecurity related to immigration status remains largely underexplored. This study examined trends and disparities in household food insecurity by immigration status in the United States (US). MethodsWe analyzed data from 427,942 households from the US Current Population Survey Food Security Supplement from 2011 to 2021. Immigration status categories included recent immigrants (< 5 years), long-term immigrants (≥ 5 years), naturalized citizens, and US-born citizens. Food insecurity was assessed using validated questions on consistent access to enough food for an active and healthy life. ResultsFrom 2011 to 2021, food insecurity prevalence declined from 14.9 % (95 % CI, 14.5 %–15.3 %) to 10.2 % (95 % CI, 9.8 %–10.6 %). Among recent immigrants, prevalence decreased from 25.2 % (95 % CI, 23.1–27.4) in 2011 to 15.0 % (95 % CI, 12.8 %–17.2 %) in 2019, then increased to 17.7 % (95 % CI, 14.7 %–20.2 %) in 2020 and 17.4 % (95 % CI, 14.7 %–20.2 %) in 2021. Long-term immigrants' prevalence dropped from 20.4 % (95 % CI, 16.9 %–24.0 %) in 2011 to 10.2 % (95 % CI, 7.2 %–13.1 %) in 2018, then increased to 17.7 % (95 % CI, 13.7 %–21.7 %) in 2021. Naturalized citizens' prevalence decreased from 14.4 % (95 % CI, 12.9 %–15.9 %) to 9.5 % (95 % CI, 8.2 %–10.9 %). US-born citizens' prevalence decreased from 14.2 % (95 % CI, 13.8 %–14.6 %) to 9.7 % (95 % CI, 9.3 %–10.2 %). Compared to the US-born citizens, the adjusted prevalence ratio was 1.63 (95 % CI,1.57–1.69) for recent immigrants, 1.22 (95 % CI, 1.13–1.31) for long-term immigrants, and 0.94 (95 % CI, 0.90–0.98) for naturalized citizens. Significant disparities exist in subgroups. ConclusionsThe findings provide insights for stakeholders to address food insecurity among vulnerable immigrant groups in the US.

Dealing with small samples in disability research: Do not fret, Bayesian analysis is here.

Small sample sizes are a common problem in disability research. Here, we show how Bayesian methods can be applied in small sample settings and the advantages that they provide. To illustrate, we provide a Bayesian analysis of employment status (employed vs. unemployed) for those with disability. Specifically, we apply empirically informed priors, based on large-sample (N = 95,593) July 2019 Current Population Survey (CPS) microdata to small subsamples (average n = 26) from July 2021 CPS microdata, defined by six specific difficulties (i.e., hearing, vision, cognitive, ambulatory, independent living, and self-care). We also conduct a sensitivity analysis, to illustrate how various priors (i.e., theory-driven, neutral, noninformative, and skeptical) impact Bayesian results (posterior distributions). Bayesian findings indicate that people with at least one difficulty (especially ambulatory, independent living, and cognitive difficulties) are less likely to be employed than people with no difficulties. Overall, results suggest that Bayesian analyses allow us to incorporate known information (e.g., previous research and theory) as priors, allowing researchers to learn more from small sample data than when conducting a traditional frequentist analysis. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Low prevalence of testing for apolipoprotein B and lipoprotein (a) in the real world

ObjectiveApolipoprotein B (ApoB) and lipoprotein (a) (Lp[a]) are predictors of cardiovascular disease (CVD) risk; therefore, current recommendations for CVD risk assessment and management advocate that patients receive testing for ApoB and Lp(a) in addition to the standard lipid panel. However, US guidelines around ApoB and Lp(a) testing have evolved over time and vary slightly by expert committee. The objective of this analysis was to estimate the number of insured individuals in the USA who received any component of a lipid test, or ApoB and/or Lp(a) testing, during 2019. MethodsWe conducted a cross-sectional analysis to estimate the prevalence of any component of a lipid test, ApoB, and/or Lp(a) in the USA using four different claim data sources (including Medicaid, Medicare, and commercially insured enrollees). Prevalence estimates were age-, sex-, payor-, and region-standardized to the 2019 US Annual Social and Economic Supplement of the Current Population Survey. We also described the clinical profile of patients who received lipid testing between 2019 and 2021 (cohort analysis) in Optum claims database. Enrollees were grouped into four non-mutually exclusive cohorts based on their completion of any component of the lipid panel, ApoB, Lp(a), or ApoB and Lp(a). ResultsIn the prevalence cohort, over a third (38 %) of insured adults in the USA underwent testing for any component of a lipid panel in 2019. This proportion was higher for individuals aged ≥65 years compared to younger adults (62% vs 31 %). The proportion of ApoB and Lp(a) testing represented only <1 % of testing for any component of a lipid panel. In the cohort analysis, we found that lipid testing increased with age and comorbidities. ConclusionThese data should be considered by guideline-issuing agencies and organizations to develop education campaigns encouraging more frequent use of tests beyond the standard lipid panel.

Burden and social distribution of occupational psychosocial exposures in the United States workforce, 2022.

To characterize the burden and social distribution of occupational psychosocial exposures in the United States (US). We merged 2022 US employment and demographic data from the Current Population Survey (CPS) with occupational characteristic data from the Occupational Information Network (O*NET), wage data from the Occupational Employment and Wage Statistics Survey, and hours worked from the CPS, to estimate the number and proportion of US workers at risk of exposure to 19 psychosocial hazards. We additionally estimated the number and proportion of US workers over- or underrepresented in exposure burden. Of the exposures examined, US workers were most commonly employed in occupations with high time pressure (67.5 million US workers exposed; 43.2% US workers exposed), high emotional labor (57.1 million; 36.6%), and low wages (47.8 million; 30.6%). The burden of exposures was uneven across sociodemographic strata, attributable to occupational segregation. The full data set is available online at https://deohs.washington.edu/us-exposure-burden. Work-related psychosocial exposures are ubiquitous and should be considered in occupational and public health research, policy, and interventions to reduce the burden of disease and health inequities in the United States.

Downscaling occupational employment data from the state to the Census tract level

The lack of detailed occupational employment data at more granular geographic levels presents significant challenges in forecasting and analyzing local and regional employment changes in the era of the new technological revolution. This study aims to develop detailed occupational employment data by downscaling state-level employment information to the Census tract level. We introduce two downscaling algorithms that leverage employment, population, and sociodemographic composition data sourced from the American Community Survey, the Current Population Survey, and the Occupational Employment and Wage Statistics. This approach allows us to create a tract-level employment dataset covering 808 occupations. Such data are crucial for examining the effects of expected technological and demographic shifts on employment at this scale, which is critical for understanding tax base implications and job mobility opportunities. We demonstrate the value of these datasets by examining employment projections for two occupations anticipated to decline due to technological advancements in the near future.

Individualism and stock market participation

ABSTRACT This paper investigates the relation between a cultural orientation toward individualism and household stock market participation. We adopt an epidemiological approach to establish causality. Employing large samples of second-generation immigrants in the U.S. and Europe, we focus on how the cultural heritage of individuals from different origins influences their engagement in stock market participation. To verify this relationship, we utilize data from the the Current Population Survey (CPS) and the Survey of Health, Ageing and Retirement in Europe (SHARE). Our findings reveal that immigrants from countries with a stronger individualistic cultural orientation are more likely to participate in the stock market. Furthermore, by leveraging data from the U.S. Census and American Community Survey (ACS), we demonstrate that the positive effect of individualistic cultural heritage is amplified for immigrants whose parents have made significant cultural investments. Additionally, utilizing data from the General Social Survey (GSS) to identify cultural mechanisms, we uncover that individualism culture shapes immigrants’ beliefs by fostering trust and optimism. Overall, our empirical evidence underscores the profound and persistent of culture on household stock market participation.

Effects of the expanded Child Tax Credit on employment outcomes

The temporary 2021 expansion of the Child Tax Credit (CTC) was intended to reduce child poverty during the COVID-19 pandemic. The expansion’s elimination of an existing phase-in with earnings, however, potentially disincentivized labor supply, raising concerns that it would reduce parent employment. We empirically test for employment effects using difference-in-differences analyses with Current Population Survey data. Across many specifications and multiple sub-groups, we find very small, inconsistently signed, statistically insignificant impacts of the 2021 CTC on parental labor force participation and employment.

The effect of vertical identification card laws on teenage tobacco and alcohol use.

We study the impact of vertical identification card laws, which changed the orientation of driver's licenses and state identification cards from horizontal to vertical for those under 21years, on teenage tobacco and alcohol use. We study this question using four national datasets (pooled national and state Youth Risk Behavior Surveillance System, National Youth Tobacco Survey, Current Population Survey to Tobacco Use Supplements, and Behavioral Risk Factor Surveillance System). We improve previous databases of vertical ID law implementation by using original archival research to identify the exact date of the law change. We estimate models using standard two-way fixed effects and stacked difference-in-differences that avoid bias from dynamic and heterogeneous treatment effects. Using data through 2021, we do not find evidence of reductions in teenage tobacco and alcohol use. While these laws reduce retail-based purchasing, they also increase social sourcing, thus leading to no net impact on use.

Suicides among construction workers in the United States, 2021.

Construction workers have the second highest suicide death rate; despite this, there is limited literature examining suicides in the industry, which is necessary to identify those at higher risk of death by suicide. The objective of this study was to examine the characteristics of those who died by suicide in construction to address this knowledge gap. Data from the National Center for Health Statistics National Vital Statistics System 2021 public use Mortality Multiple Cause-of-Death file were used to identify deaths by suicide, while denominator data for rates come from the 2021 Current Population Survey. In 2021, construction workers were disproportionately affected by suicide deaths. Almost a fifth (17.9%) of deaths by suicide with a reported industry code were in construction, despite construction workers accounting for only 7.4% of the workforce. Male construction workers accounted for a majority (97.8%) of suicide deaths. The highest percent of deaths by suicide were among individuals who were white, non-Hispanic, completed high school or equivalent, and single, across construction and all industries for males and females. Male and female construction workers had the highest rates of suicide across all characteristics when compared to all industries. Our findings support the need for ongoing prevention efforts within the industry. Future research is needed to understand suicide risk among certain characteristics and occupations. In addition, the work environment or other work-related factors should be studied to understand how the unique nature of the construction industry may be associated with higher suicide rates.