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Objectives Previous research in the United States suggests contextual income mobility may play a role in explaining the disparities between life expectancy in the United States and peer countries. This article aims to extend previous research by estimating the consequences of average individual exposure to mobility regimes during childhood and adolescence on adult health. Methods This study draws its data from two longitudinal datasets that track the county of residence of respondents during childhood and adolescence, the Panel Study of Income Dynamics and the National Longitudinal Survey of Youth 1997. We implement marginal structural models to assess the association of the average exposure to county income mobility on five health outcomes and behaviors. Results The results are only partially consistent with a systematic association between exposure to income mobility and health outcomes. Evidence obtained from the National Longitudinal Survey of Youth suggests less income mobility might increase the probability of smoking by age 30. Discussion The paper provides a precise assessment of the hypothesis that childhood exposure to income mobility regimes may influence health status through behavior later in life and contribute to longevity gaps. Only partial evidence on smoking suggests an association between income mobility and health, so we discuss potential reasons for the disparities in results with previous research. [ABSTRACT FROM AUTHOR]

In response to the COVID-19 pandemic, large parts of the economy were locked down and, as a result, households' income risk rose sharply. At the same time, policy makers put forward the largest stimulus package in history. In the United States it amounted to $2 trillion, a quarter of which represented transfer payments to households. To the extent that such transfers were (i) announced in advance and (ii) conditional on recipients being unemployed, they mitigated income risk associated with the lockdown—in contrast to unconditional transfers. We develop a baseline scenario for a COVID-19 recession in a medium-scale heterogeneous agent new Keynesian model and use counterfactuals to quantify the impact of transfers. For the short run, we find large differences in the transfer multiplier: it is negligible for unconditional transfers and about unity for conditional transfers. Overall, we find that the transfers reduced the output loss due to the pandemic by some two percentage points at its trough. [ABSTRACT FROM AUTHOR]

Many people in the United States have achieved economic stability through self-employment and are often seen as embracing the entrepreneurial spirit and seizing opportunity. Yet, research also suggests that self-employment may be precarious for many people in the lower socioeconomic strata. Drawing on a unique dataset that combines longitudinal survey data with administrative tax data for a sample of low- and moderate-income (LMI) workers, we bring new evidence to bear on this debate by examining the link between self-employment and economic insecurity. Overall, our results show that self-employment is associated with greater economic insecurity among LMI workers compared with wage-and-salary employment. For instance, compared with their wage-and-salary counterparts, the self-employed have 78, 168, and 287 percent greater odds of having an income below basic expenses, and experiencing an unexpected income decline and high levels of income volatility, respectively. We also find that differences in financial endowment and access to health insurance are key drivers in explaining the relationship between employment type and economic insecurity, as being able to access $2,000 in an emergency greatly lowers the odds of budgetary constraint, whereas lack of health insurance increases those odds. These findings suggest that formal work arrangements with wages and benefits offered by an employer promotes greater economic stability among LMI workers compared with informal work arrangements via self-employment. We discuss implications of these results for future research and policy initiatives seeking to promote economic wellbeing through entrepreneurship. [ABSTRACT FROM AUTHOR]

Multiple imputation (MI) is a popular and well-established method for handling missing data in multivariate data sets, but its practicality for use in massive and complex data sets has been questioned. One such data set is the Panel Study of Income Dynamics (PSID), a longstanding and extensive survey of household income and wealth in the United States. Missing data for this survey are currently handled using traditional hot deck methods because of the simple implementation; however, the univariate hot deck results in large random wealth fluctuations. MI is effective but faced with operational challenges. We use a sequential regression/chained-equation approach, using the software IVEware, to multiply impute cross-sectional wealth data in the 2013 PSID, and compare analyses of the resulting imputed data with those from the current hot deck approach. Practical difficulties, such as non-normally distributed variables, skip patterns, categorical variables with many levels, and multicollinearity, are described together with our approaches to overcoming them. We evaluate the imputation quality and validity with internal diagnostics and external benchmarking data. MI produces improvements over the existing hot deck approach by helping preserve correlation structures, such as the associations between PSID wealth components and the relationships between the household net worth and sociodemographic factors, and facilitates completed data analyses with general purposes. MI incorporates highly predictive covariates into imputation models and increases efficiency. We recommend the practical implementation of MI and expect greater gains when the fraction of missing information is large. [ABSTRACT FROM AUTHOR]

Objectives Retrospective measures of childhood socioeconomic status (SES) in cohort studies of aging that first observe people late in life—such as the Health and Retirement Study (HRS)—are widely used. However, their measurement validity and reliability are unknown. We assess the reliability and validity of the HRS's retrospective measures of parental education and childhood family finances. Methods We use records for 6,343 HRS sample members who were children in 1940 that have been linked to records from the complete-count 1940 U.S. Census. We assess interrater reliability by comparing (a) retrospective reports of childhood SES collected from sample members in the 1992–2018 HRS to (b) prospective measures of parallel concepts collected from HRS sample members' parents in the 1940 Census. We assess predictive validity by comparing the results of analyses that model later-life outcomes as a function of childhood SES as measured both prospectively and retrospectively. Results Interrater reliabilities of retrospective measures of parental education are high; however, the same is not true of the retrospective measure of childhood family finances. Both retrospective and prospective measures of childhood SES are predictive of later-life outcomes, and with similar strengths and directions of associations for most outcomes. Discussion Researchers who rely on retrospective indicators of childhood SES from the HRS should be aware of their measurement properties. They are measured with error, and that error modestly attenuates estimates of their associations with later-life outcomes. However, prospective and retrospective measures of childhood SES have similar predictive validity. These findings should reassure researchers who rely on retrospective measures of childhood SES in the HRS and similarly designed surveys. [ABSTRACT FROM AUTHOR]

Objectives Adults around retirement age are especially vulnerable to the effects of the recent economic downturn associated with coronavirus disease 2019 (COVID-19). This study investigated disturbances to working life and mental health among Americans aged at least 55 during the early months of the pandemic. Methods Using data from the nationwide COVID-19 Coping Study (N = 6,264), we examined rates of job loss, furloughs, hour/income reductions, and work from home, along with unchanged work status, by age, gender, race/ethnicity, educational attainment, and occupation. We next described sources of worry by job transition group and tested the adjusted associations of COVID-19-related job transitions with life satisfaction, loneliness, depressive symptoms, and anxiety symptoms. Results Most job losses occurred among respondents younger than age 65 and those without college degrees. Job loss and reduced hours/income were more common among Hispanics compared to other racial/ethnic groups, and work from home transitions were most common among respondents with high educational attainment and jobs in government- and education-related occupations. Workers who lost their jobs had the lowest life satisfaction and the highest loneliness and depressive symptoms, followed by workers who were furloughed and workers with reduced hours/income. Work from home was associated with more anxiety than unchanged work. Discussion COVID-19-related job transitions are detrimental to mental health, even when they might keep workers safe. These results enhance our understanding of the potentially long-term mental health effects of social and economic aspects of the COVID-19 pandemic and highlight the need for economic and mental health support for aging Americans. [ABSTRACT FROM AUTHOR]

Objectives Disability in the United States has not improved in recent decades. Comparing temporal trends in disability prevalence across different income groups, both within and between the United States and England, would inform public policy aimed at reducing disparities in disability. Methods Using the Health and Retirement Study and the English Longitudinal Study of Ageing, we estimated annual percent change from 2002 to 2016 in disability among community-dwelling adults (197,021 person-years of observations). Disability was defined based on self-report of limitations with 5 instrumental activities of daily living and 6 activities of daily living. We examined the trends by age and income quintile and adjusted for individual-level sociodemographic status and survey design. Results The adjusted annual percent change (AAPC) in disability prevalence declined significantly in both countries for ages 75 and older during 2002–2016. For ages 55–64 and 65–74, disability prevalence was unchanged in the United States but declined in England. Both countries experienced a widening gap in disability between low- and high-income adults among the younger age groups. For example, for those ages 55–64 in each country, there was no significant improvement in disability for the low-income group but a significant improvement for the high-income group (AAPC = −3.60; 95% confidence interval [CI; −6.57, −0.63] for the United States; AAPC = −6.06; 95% CI [−8.77, −3.35] for England). Discussion Improvements in disability were more widespread in England than in the United States between 2002 and 2016. In both countries, the disparity in disability between low- and high-income adults widened for middle-aged adults. Policies targeted at preventing disability among low-income adults should be a priority in both countries. [ABSTRACT FROM AUTHOR]

Objective To examine the distributional effects of the 2008 recession and subsequent recovery across generational cohorts. Methods Using data from the Survey of Consumer Finances (2007–2016), we constructed a measure of economic well-being accounting for income, household size, and annuitized value of assets. We examine trajectories of adjusted income and inequality, using Gini coefficients and income shares by decile, for the overall population and by cohort during the recession and recovery. Results Inequality declined temporarily during the recession, but reached new highs during the recovery. During recovery, population-level increases in economic resources were not reflected among below-median households, as the more concentrated financial assets rose while broader-based home equity and employment fell or remained stagnant. Inequality measures increased for cohorts in their primary working years (Generation-X and Baby Boomers), but not among the younger Millennials, who were at early stages of education, workforce entry, and household formation. Discussion The study illustrates an integrative approach to analyzing cumulative dis/advantage by considering interactions between historically consistent macrolevel events, such as economic shocks or policy choices affecting all cohorts, and the persistent life-course processes that tend to increase heterogeneity and inequality as cohorts age over time. Although recovery policies led to rapid recovery of financial asset values, they did not proportionately reach those below the median or their economic resource types. Results suggest that in a high-inequality environment, recovery policies from economic shocks may need tailoring to all levels of resources in order to achieve more equitable recovery outcomes and prevent exacerbating cohort inequality trajectories. [ABSTRACT FROM AUTHOR]

Objectives Financial stressors such as wealth loss, indebtedness, and bankruptcy have gained the attention of public health scholars since the Great Recession. In this study, we extend this area of research by comparing the mental and physical impact of multiple financial stressors during midlife, a pivotal period in the life course for wealth accumulation and disease onset. Methods With data from the National Longitudinal Survey of Youth 1979 (www.nlsinfo.org), an ongoing survey of adult men and women in the United States, we used logistic regression to estimate the associations between financial stressors and the risk of a psychiatric disorder or high blood pressure diagnosis from ages 31–39 in 1996 to ages 50–59 in 2016 (N = 7,143). Financial stressors include multiple types of wealth loss, debt, and bankruptcy. Results Even after adjusting for a comprehensive set of confounders, many of the financial stressors we considered had similar positive associations with the risk of a psychiatric disorder, whereas only debt and bankruptcy were associated with the risk of high blood pressure. The best-fitting models for both health outcomes included a simple indicator of indebtedness. Stock losses were not significantly associated with either health outcome. Discussion Given the recent volatility in the U.S. economy, our results highlight the potential loss of health that may occur if nothing is done to prevent economically vulnerable populations from sliding into financial crisis. Our results also emphasize the need for additional research to develop individual-level interventions to improve health among those already experiencing financial difficulties. [ABSTRACT FROM AUTHOR]

Atheoretical formulation derived from the cumulative advantage literature, that intergenerational educational mobility has enduring life-course income effects above and beyond individuals' education, is empirically tested. This formulation contrasts sharply with both the human capital model, which does not consider parental education as a determinant of children's income, and the sociological research on social mobility, which mostly relies on a snapshot view to study the economic consequences of educational mobility. To test this theory, we use NLSY79 survey data (with Panel Study of Income Dynamics data serving for robustness checks). We apply growth models to the data to estimate if and how the different intergenerational educational mobility groups that are produced by the intersection of parental and respondent education shape life-course income trajectories. Results provide evidence in support of the argument that the intersection of parental and respondent education bears important long-term income consequences, mainly for men. These results, moreover, do not vary by race. We discuss the theoretical and policy implications of our results. [ABSTRACT FROM AUTHOR]

With unprecedented increases, mortality trends in the United States have received significant attention in recent years. To date, research on this topic has emphasized specific causes of death and proximal behavioral or physiological determinants. In this commentary, I consider novel contributions of Zheng and Echave (Am J Epidemiol. 2021;190(11):2242–2255) in examining trends in mental health, health behaviors, and physiological dysregulation. I then discuss broader developments in related research and make a case for: 1) not allowing recent health trends among Whites to overshadow the urgent work that needs to be done to mitigate persistent racial inequities, 2) further investigation of what accounts for increases in income inequality and its life-span health consequences, and 3) broadening the scope of mechanisms considered to include underdiscussed topics such as the role of increases in social media use or environmental toxicant exposures. Underlying several potential explanations for observed trends in health and mortality is the fact that substantial change has occurred on multiple fronts in US society and that policy responses to these changes have been insufficient. An enhanced emphasis on innovative population health research will be essential to provide the evidence base needed for policy makers to rise to these urgent challenges. [ABSTRACT FROM AUTHOR]

Background The United States Centers for Disease Control and Prevention (CDC)-sanctioned prevention strategies have included frequent handwashing with soap and water, covering the mouth and nose with a mask when around others, cleaning and disinfecting maintaining a distance of at least 6 feet from others, etc. Although many of these recommendations are based upon observation and past infection control practices, it is important to combine and explore public data sets to identify predictors of infection, morbidity and mortality to develop more finely honed interventions, based on sociodemographic factors. Method Cross-sectional study of both states in the US and counties in NY state. Results Population density was found to be significantly associated with state-level coronavirus infection and mortality rate (b  = 0.49, 95% confidence interval (CI): 0.34, 0.64, P  < .0001). States that have lower socioeconomic status, lower mean age and denser populations are associated with higher incidence rates. In regard to NY state, counties with a higher percentage of minority residents had higher COVID-19 mortality rates (b  = 2.61, 95% CI: 0.36, 4.87, P  = 0.023). Larger population cohorts were associated with lower COVID-19 mortality rates after adjusting for other variables in the model (b  = −1.39, 95% CI: −2.07, −0.71, P  < 0.001). Population density was not significantly associated with COVID-19 mortality rates after adjustment across counties in the NY state. Public ridership was not indicative of cases or mortality across states in the USA; however, it is a significant factor associated with incidence (but not mortality) in NY counties. Conclusion Population density was the only significant predictor of mortality across states in the USA. Lower mean age, lower median household incomes and more densely populated states were at higher risk of COVID-19 infection. Population density was not found to be a significant independent variable compared to minority status and socioeconomic factors in the New York epicenter. Meanwhile, public ridership was found to be a significant factor associated with incidence in New York counties. [ABSTRACT FROM AUTHOR]