Current Population Survey Research Articles

Measuring Women’s Economic Empowerment in the Democratic Republic of Congo, Kenya, Nigeria, and Burkina Faso

There are multiple tools to measure women’s economic empowerment but limited information exists about their cross-cultural validity and reliability. This study assesses the psychometric properties of ten questions measuring two dimensions of women’s economic empowerment. It uses cross-sectional data from six low-and-middle-income settings: Kinshasa and Kongo Central (Demographic Republic of Congo), Kenya, Lagos and Kano (Nigeria), and Burkina Faso. The first dimension, household decision making, was proxied by women’s power to decide household purchases on large items, daily needs, medical treatment, and clothes. This dimension was valid and reliable in all settings. The second dimension, financial autonomy, was proxied by whether women had savings, knew where to obtain financial information, and had financial goals. This dimension was valid and reliable in Kenya, Lagos, and Kano. These findings can inform future surveys aiming to measure women’s economic empowerment. HIGHLIGHTS Given gaps in WEE measurement, this study aims to identify a set of items measuring dimensions of WEE that are consistent and reliable across cultures and over time. Specifically, the study seeks to measure women’s power in household decision making and financial autonomy that would be consistent across six settings in four African countries. By summarizing dimensions of WEE into seven questions, it supports efficiency of current and future population surveys measuring women’s empowerment. The findings for women’s household decision making are consistent across settings suggesting they can be generalized to other, similar contexts.

Hours worked and the US distribution of real annual earnings 1976–2019

SummaryWe examine the impact of annual hours worked on annual earnings by decomposing changes in the real annual earnings distribution into composition, structural, and hours effects. We do so via a nonseparable simultaneous model of hours, wages, and earnings. Using the Current Population Survey for the survey years 1976–2019, we find that changes in the female distribution of annual hours of work are important in explaining movements in inequality in female annual earnings. This captures the substantial changes in their employment behavior over this period. Movements in the male hours' distribution only affect the lower part of their earnings distribution and reflect the sensitivity of these workers' annual hours of work to cyclical factors.

Panel Conditioning Biases in the Current Population Survey’s Food Security Supplement

Abstract We estimate the extent to which the methodological problem called panel conditioning biases the federal government’s estimates of the prevalence of food insecurity in the United States. To do so, we use 2002 through 2020 data from the Current Population Survey’s Food Security Supplement—the same data used to produce the federal government’s annual statistics about food insecurity. We take advantage of the CPS’s rotating panel design feature to estimate the effects of panel conditioning. By comparing CPS respondents who participated in the Food Security Supplement in each of two consecutive years but who—strictly by chance—were selected to begin the CPS one year apart, we both approximate an experimental design and derive estimates of panel conditioning that are purged of biases from panel attrition. For the 200,000+ unique households in our sample, the treatment is having previously participated in the Food Security Supplement; the outcome is participants’ subsequent responses to survey questions about food security. We find that in nearly every year people in the treatment group—that is, the group of people who have previously responded to the Food Security Supplement—are less likely to be food insecure than people responding for the first time. These differences are statistically significant and large in magnitude. We conclude that the federal government’s estimates of the prevalence of food insecurity in America are substantially biased; depending on the mechanism underlying panel conditioning, the true prevalence of food insecurity may be substantially higher or lower than officially reported.

“Stepping-Stone” versus “Dead-End” Jobs: Occupational Structure, Work Experience, and Mobility Out of Low-Wage Jobs

Does working in a low-wage job lead to increased opportunities for upward mobility, or is it a dead-end that traps workers? In this article, we examine whether low-wage jobs are “stepping-stones” that enable workers to move to higher-paid jobs that are linked by institutional mobility ladders and skill transferability. To identify occupational linkages, we create two measures of occupational similarity using data on occupational mobility from matched samples of the Current Population Survey (CPS) and data on multiple dimensions of job skills from the O*NET. We test whether work experience in low-wage occupations increases mobility between linked occupations that results in upward wage mobility. Our analysis uses longitudinal data on low-wage workers from the 1979 National Longitudinal Study of Youth (NLSY) and the 1996 to 2008 panels of the Survey of Income and Program Participation (SIPP). We test the stepping-stone perspective using multinomial conditional logit (MCL) models, which allow us to analyze the joint effects of work experience and occupational linkages on achieving upward wage mobility. We find evidence for stepping-stone mobility in certain areas of the low-wage occupational structure. In these occupations, low-wage workers can acquire skills through work experience that facilitate upward mobility through occupational changes to skill and institutionally linked occupations.

A theory-based assessment of mpox: Findings from a nationally representative survey of U.S. adults.

The purpose of this research was to examine individual differences related to fear of, perceived susceptibility to, and perceived severity of mpox as well as mpox knowledge, fear, perceived susceptibility, and perceived severity as predictors of vaccine intention in a national survey of U.S. adults (aged ≥18 years). Address-based sampling (ABS) methods were used to ensure full coverage of all households in the nation, reflecting the 2021 March Supplement of the Current Population Survey. Internet-based surveys were self-administered by Ipsos between September 16-26, 2022. N = 1018 participants completed the survey. The survey included items, based partially on the Health Belief Model, assessing vaccine intention (1 item; responses from 1 [Definitely not] to 5 [Definitely]), fear of mpox (7-item scale; α = .89; theoretical mean = 7-35), perceived susceptibility to mpox (3-item scale; α = .85; theoretical mean = 3-15), and perceived severity of mpox (4-item scale; α = .65; theoretical mean = 4-20). Higher scores indicate greater fear, susceptibility, and severity. One-way ANOVAs were run to examine mean score differences by demographic groups (e.g., gender, race/ethnicity, sexual orientation), and multiple regression analyses assessed the relationship between predictors (mpox knowledge, susceptibility/severity, fear) and a single outcome (vaccination intention), while controlling for demographic covariates. Sampling weights were applied to all analyses. Only 1.8% (n = 18) of respondents reported having received the mpox vaccine. While mpox vaccine intention was low (M = 2.09, SD = 0.99), overall differences between racial/ethnic, sexual orientation, education, and household income groups were statistically significant. Fear of mpox was very low (M = 13.13, SD = 5.33), and there were overall statistically significant differences in both fear and perceived severity among gender, race/ethnicity, sexual orientation, education, and household income groups. While respondents reported not feeling very susceptible to mpox (M = 5.77, SD = 2.50), they generally rated mpox as just above the theoretical mean in terms of severity (M = 11.01, SD = 2.85). Mpox knowledge, fear, severity, and susceptibility, as well as race/ethnicity, were all statistically significant predictors of intention to vaccinate, with susceptibility representing the strongest predictor. Overall, Americans' vaccination for mpox/vaccine intent was low. Gay/lesbian and racial/ethnic minority respondents felt more susceptible to and viewed mpox more severely, compared with heterosexual and White respondents, respectively. These data may be used to tailor risk and prevention (e.g., vaccination) interventions, as cases continue to surge in the current global mpox outbreak. Greater perceptions of susceptibility, severity, and fear about mpox exist largely among minority populations. While public health messaging to promote mpox vaccination can focus on improving knowledge, as well as addressing fear and perceived severity of, and susceptibility to, mpox, such messages should be carefully crafted to prevent disproportionate negative effects on marginalized communities.

STATISTICAL DISCRIMINATION AND DURATION DEPENDENCE IN A SEMISTRUCTURAL MODEL

AbstractThis article develops a job‐search model with unobserved worker heterogeneity and learning about worker types from unemployment duration. The model features negative duration dependence that stems from unobserved heterogeneity, skill depreciation, and statistical discrimination. We estimate job‐finding rates implied by our model using microlevel data from the Current Population Survey. We find that removing interview costs counterfactually, thereby eliminating statistical discrimination, substantially increases the job‐finding rates of the long‐term unemployed. The performance of low‐skill workers at the interview stage with discriminating firms plays a key role in explaining our counterfactual result.

Who Requests and Receives Workplace Accommodations? An Intersectional Analysis.

This study investigates who requests workplace accommodations and who is more likely to have requests granted. We investigate the role of demographic characteristics and their intersection, including disability, gender, race/ethnicity, and age. We also consider the role of other personal and job-related factors. We use the data from the Current Population Survey (CPS) 2021 Disability Supplement to estimate the odds ratio of having requested workplace accommodations and having such request granted during the COVID-19 pandemic when the survey was conducted. In supplementary analyses, we explore the relationship between remote work and flexible scheduling and workplace accommodations, as well as possible trends using CPS 2019 Disability Supplement. Our results indicate that Hispanics with disabilities are more likely than others to request workplace accommodations, but they are substantially less likely to be granted accommodations. Consistent with other studies, our paper also finds that people with disabilities, women, and older people are more likely to request accommodations than their respective counterparts. Other personal and job-related factors such as higher education, parenthood, being single, being a citizen, and working in management-related occupations are associated with higher likelihood of requesting workplace accommodations compared to their counterparts, while receiving accommodations is largely explained by occupational differences. Our findings show that there are still disparities in the rates of workplace accommodation requests and provision for multiply marginalized groups, and as such, taking into account intersectional differences in addition and in relation to disability is important.

Relationship Between Sex-Specific Labor Market Performance and Breastfeeding Prevalence.

Prior research has explored the association between women's employment status and breastfeeding at the individual level, however; a notable gap in scholarly inquiry exists regarding the relationship between labor market performance and breastfeeding at the population level. The aim of this paper is to investigate the association between labor market performance and breastfeeding prevalence in the United States. This study is a cross-sectional analysis of the association between labor market performance and the prevalence of breastfeeding. Our analysis is conducted at the state level using data published up to late 2021 from the Current Population Survey and the National Immunization Survey. The first dataset was used to construct aggregate and sex-specific state level indicators of labor market performance for both males and females. The second dataset supplied the proportion of mothers breastfeeding for the corresponding birth cohort from each state. Higher average weekly hours worked by females in the year before giving birth was associated with a lower prevalence of breastfeeding, but employment rates among females did not significantly affect breastfeeding prevalence. Among males, current employment rates were positively associated with breastfeeding prevalence; however, no significant relationship was observed between breastfeeding prevalence and average weekly work hours worked. Sex-specific labor market performance may play a role in breastfeeding decisions and the timing of labor market performance relative to childbirth is important. Furthermore, these results highlight that employment rates and hours worked might be associated with child health through breastfeeding prevalence.

Cigar Cessation Prevalence and Trends by Demographic Characteristics Among US Adults, TUS-CPS, 2010-2019.

Disproportionate rates of cigar smoking across demographic groups can contribute to tobacco-related health disparities in the United States. We assessed overall and demographic-specific cigar cessation rates from 2010 to 2019. To characterize cessation prevalence among selected demographic groups over time, we analyzed data from the 2010-2011, 2014-2015, and 2018-2019 Tobacco Use Supplement to the Current Population Survey (TUS-CPS). Individuals who reported either (1) current cigar smoking for at least 2 years or (2) quitting cigar smoking within the past 12 months were included in the study (n = 5262 in 2010-2011; n = 4741 in 2014-2015; n = 3741 in 2018-2019). Among this group, individuals who reported not smoking a cigar within the past 6 months were considered cigar quitters. Chi-square tests were used to test differences in cessation prevalence between the two survey waves within demographic groups as well as between different groups within survey waves. The prevalence of cigar cessation decreased from 2010-2011 to 2018-2019 for non-Hispanic (NH) White individuals, Hispanic individuals, and both males and females. (p < .05 for all groups). NH White individuals had significantly higher cessation prevalence than individuals who identified as NH Black (33.8% vs. 25.0%, respectively, in 2010-2011; 33.4% vs. 20.4% in 2014-2015; 31.1% vs. 22.3% in 2018-2019; p < .05 for all differences). Overall cigar cessation prevalence significantly decreased from 2010-2011 to 2018-2019. Findings from the study could provide an opportunity to implement strategies that promote cessation strategies targeting certain subpopulations. Cigar cessation patterns are starkly different across different demographic groups, which leads to a disproportionate burden of health-related effects of continued use of these products. These results can inform policy actions around cigar cessation efforts. Future research to close this disparity should be focused on populations that have lower cessation prevalence.

Firearm Access and Gun Violence Exposure Among American Indian or Alaska Native and Black Adults

American Indian or Alaska Native and Black adults experience elevated rates of firearm injury and death, but both groups are severely underrepresented in research on firearm exposure and behaviors. To explore geodemographic differences in firearm behaviors and violence exposure among American Indian or Alaska Native and Black adults in the US. In this survey study, nationally representative samples of American Indian or Alaska Native and/or Black adults recruited from KnowledgePanel were surveyed cross-sectionally. Surveys were administered online between April 12 and May 4, 2023. Firearm access, storage, and carrying behaviors and lifetime firearm violence exposure were the primary outcomes. Demographic factors such as age, geographic location, and political affiliation were considered. Data were weighted to geodemographic distributions from the US Census Bureau's 2022 Current Population Survey. Of 3542 participants, 527 (14.9%) were American Indian or Alaska Native (280 [53.1%] female) and 3015 (85.1%) were Black (1646 [54.6%] female). Both groups exhibited high firearm access rates (American Indian or Alaska Native adults: 238 [45.4%; 95% CI, 39.4%-51.7%]; Black adults: 909 [30.4%; 95% CI, 28.0%-32.9%]), predominantly owning handguns for home protection. The groups demonstrated similar firearm storage patterns, and a substantial proportion endorsed always or almost always carrying firearms outside the home (American Indian or Alaska Native adults: 18.9%; Black adults: 15.2%). Self-protection was a common reason for carrying a firearm (American Indian or Alaska Native adults: 104 [84.9%; 95% CI, 74.1%-91.7%]; Black adults: 350 [88.3%; 95% CI, 82.3%-92.4%]), and a minority of participants cited lack of faith in the police (American Indian or Alaska Native adults: 19 [15.2%; 95% CI, 8.2%-26.7%]; Black adults: 61 [15.4%; 95% CI, 10.3%-21.2%]), indicating potential shifts in public safety dynamics. In this survey study of American Indian or Alaska Native and Black US adults, a substantial percentage of both groups reported living in homes with firearms, storing firearms loaded and unlocked, frequently carrying firearms outside the home, and having been exposed directly and indirectly to gun violence. These findings underscore the need for nuanced public health campaigns and policies and highlight challenges for law enforcement in contexts of racial disparities and changing legal frameworks.

Self‐Employment, the COVID‐19 Pandemic, and the Rural–Urban Divide in the United States☆

AbstractSelf‐employed individuals faced numerous challenges amid the global health and economic crisis that was the COVID‐19 pandemic. Similarly, rural and urban workers faced different challenges during the pandemic. This rural–urban disparity further complicates the impacts of self‐employment and exacerbates inequalities resulting from gender, race, ethnicity, or immigration status. This study examines the economic consequences of the COVID‐19 pandemic across these categories in the United States using Current Population Survey data from May 2020 to May 2022. Comparing the wage and self‐employment sectors across rural and urban areas, I examine the effects of individual, business, and geographic characteristics on the probability of work stoppages due to the health crisis. The analysis reveals that recovery from the pandemic was delayed among the self‐employed, while additional education and full‐time employment status can reduce work interruptions for these workers, as does working in select industries. Findings suggest that rural and urban minorities are more likely to face pandemic‐related work disruptions, with key differences between formal and informal self‐employment sectors. Specifically, self‐employed Asians/Pacific Islanders and Native Americans were more adversely affected in rural areas. The study concludes with several policy and program recommendations to assist vulnerable workers, especially in the rural self‐employment sector.

How does the dramatic rise of nonresponse in the Current Population Survey impact labor market indicators?

SummaryWithin a decade, the share of households refusing to participate in the Current Population Survey (CPS) tripled. We show households that refuse 1 month but respond in an adjacent month account for an important part of the rise. Leveraging the labor force status of survey participants in the months surrounding their nonresponse, we find that rising refusals suppressed the measured labor force participation rate and employment–population ratio but had little effect on the unemployment rate. Notably, nonresponse bias accounts for at least 10% of the reported decline in the labor force participation rate from 2000 to 2020.

Long COVID Prevalence, Disability, and Accommodations: Analysis Across Demographic Groups.

This paper examines the prevalence of long COVID across different demographic groups in the US and the extent to which workers with impairments associated with long COVID have engaged in pandemic-related remote work. We use the US Household Pulse Survey to evaluate the proportion of all adults who self-reported to (1) have had long COVID, and (2) have activity limitations due to long COVID. We also use data from the US Current Population Survey to estimate linear probability regressions for the likelihood of pandemic-related remote work among workers with and without disabilities. Findings indicate that women, Hispanic people, sexual and gender minorities, individuals without 4-year college degrees, and people with preexisting disabilities are more likely to have long COVID and to have activity limitations from long COVID. Remote work is a reasonable arrangement for people with such activity limitations and may be an unintentional accommodation for some people who have undisclosed disabilities. However, this study shows that people with disabilities were less likely than people without disabilities to perform pandemic-related remote work. The data suggest this disparity persists because people with disabilities are clustered in jobs that are not amenable to remote work. Employers need to consider other accommodations, especially shorter workdays and flexible scheduling, to hire and retain employees who are struggling with the impacts of long COVID.

Examining the impact of topcodes adjustment on studies of gender earnings inequality in the US: evidence from March CPS data

ABSTRACT Topcoded survey data has been widely used for studies of gender earnings inequality. How robust are these studies to the choice of topcode adjustment methods? We examine this issue using the public-use March Current Population Survey data from 1979 to 2018 in the United States. In general, using more informative data and more sophisticated parametric procedure implies greater gender earnings inequality. Regression and mean decomposition analyses of gender earnings gap are quite robust to the choice of topcode correction methods. Nevertheless, topcode correction methods do matter significantly for studies of the relationship between gender earnings gap and some covariates (education) but not others (occupational characteristics). For researchers lacking access to internal data, the recommended topcode correction approach is SW/PC method. This method combines the benefits of using public data with replacement values that replicate the less topcoded internal data distribution while integrating parametric correction for the remaining topcoding bias.

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.

Asian entrepreneurship in the coronavirus era

The COVID-19 pandemic has had a deleterious impact on the world economy. Studies have documented the disproportional impact of the pandemic on minorities, immigrants, and business owners in the USA. In this study, we use Current Population Survey monthly data spanning from January 2014 through December 2021 to examine how the COVID-19 pandemic affected Asian entrepreneurship. We show that the pandemic disproportionally hurt Asian entrepreneurship, particularly among immigrants, up until the end of 2020. A detailed analysis of Asian business dynamics reveals a substantial increase in self-employment exits during the first year of the pandemic. We fail to find convincing evidence of differential industry/job-type concentration, individual preferences, majority-minority disparities, narrower clientele, or differential access to government support as primary drivers for such patterns. Instead, we find suggestive evidence of discrimination playing a non-negligible role that subsided in 2021, coinciding with the rollout of vaccines.

Reevaluating the “deaths of despair” narrative: Racial/ethnic heterogeneity in the trend of psychological distress-related death

Despite the significant scientific advancement in deciphering the "deaths of despair" narrative, most relevant studies have focused on drug-, alcohol-, and suicide-related (DAS) deaths. This study directly investigated despair as a determinant of death and the temporal variation and racial heterogeneity among individuals. We used psychological distress (PD) as a proxy for despair and drew data from the US National Health Interview Survey-Linked Mortality Files 1997 to 2014, CDC (Centers for Disease Control and Prevention) Multiple Cause of Death database 1997 to 2014, CDC bridged-race population files 1997 to 2014, Current Population Survey 1997 to 1999, and the American Community Survey 2000 to 2014. We used Cox proportional hazards models to estimate mortality hazard ratios of PD and compared age-standardized PD- and DAS-related mortality rates by race/ethnicity and over time. We found that while Whites had a lower prevalence of PD than Blacks and Hispanics throughout the whole period, they underwent distinctive increases in PD-related death and have had a higher PD-related mortality rate than Blacks and Hispanics since the early 2000s. This was predominantly due to Whites' relatively high and increasing vulnerability to PD less the prevalence of PD. Furthermore, PD induced a more pervasive mortality consequence than DAS combined for Whites and Blacks. In addition, PD- and DAS-related deaths displayed a concordant trend among Whites but divergent patterns for Blacks and Hispanics. These findings suggest that 1) DAS-related deaths underestimated the mortality consequence of despair for Whites and Blacks but overestimated it for Hispanics; and 2) despair partially contributed to the DAS trend among Whites but probably not for Blacks and Hispanics.

The Effect of Job Loss on Bank Account Ownership

AbstractWe estimate the effect of job loss on households’ bank account ownership using novel data: Federal Deposit Insurance Corporation (FDIC)‐sponsored biennial supplements to the Current Population Survey (CPS), linked to respondents’ work history in surrounding months constructed from the Basic Monthly CPS. Leveraging differences in the timing of unemployment spells across households, we show that job loss leads to a large decrease in the likelihood of having an account among the lower‐income, renter households we study. Job loss also leads to increased use of other products and services that might substitute for a bank account, including prepaid cards, check cashing, and money orders.

Has Intergenerational Progress Stalled? Income Growth Over Five Generations of Americans

We find that each of the past four generations of Americans was better off than the previous one, using a post-tax, post-transfer income measure constructed annually from 1963-2022 based on the Current Population Survey Annual Social and Economic Supplement. At age 36–40, Millennials had a real median household income that was 18 percent higher than that of the previous generation at the same age. This rate of intergenerational progress was slower than that experienced by the Silent Generation (34 percent) and Baby Boomers (27 percent), but similar to that experienced by Generation X (16 percent). Slower progress for Generation X and Millennials is due to their stalled growth in work hours—holding work hours constant, they experienced a greater intergenerational increase in real market income than Baby Boomers. Intergenerational progress for Millennials under age 30 has remained robust as well, although their income growth largely results from higher reliance on their parents. We also find that the higher educational costs incurred by younger generations is far outweighed by their lifetime income gains.

Does the reference period matter when evaluating the effect of SNAP on food insecurity?

AbstractSupplemental Nutrition Assistance Program (SNAP) is the cornerstone food assistance program in the United States and has been shown to reduce the risk of food insecurity. Most research on the causal effect of SNAP on food insecurity relies on the 12‐month food insecurity scale along with usage of SNAP at any point during the year. However, recent social surveys ask about experiences with food insecurity in the 30 days prior to the survey. In this paper, we examine whether similar protective effects of SNAP against food insecurity are obtained whether using the 30‐day or 12‐month food insecurity scale using the December Supplement of the Current Population Survey for 2002–2019. Results indicate comparable average treatment effects of SNAP in mitigating food insecurity across both 30‐day and 12‐month reference periods.