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Background: Individuals with type 2 diabetes (T2D) have increased colorectal cancer (CRC) risk, but it is unknown whether income dynamics are associated with CRC risk in these individuals. We examined whether persistent low- or high-income and income changes are associated with CRC risk in non-elderly adults with T2D.Methods: Using nationally representative data from the Korean Health Insurance Service database, 1,909,492 adults aged 30 to 64 years with T2D and no history of cancer were included between 2009 and 2012 (median follow-up of 7.8 years). We determined income levels based on health insurance premiums and assessed annual income quartiles for the baseline year and the four preceding years. Hazard ratios(HRs) and 95% confidence intervals(CIs) were estimated after adjusting for sociodemographic factors, CRC risk factors, and diabetes duration and treatment.Results: Persistent low income (i.e., lowest income quartile) was associated with increased CRC risk (HRn=5years vs. n=0years 1.11, 95% CI 1.04–1.18; P for trend=0.004). Income declines (i.e., a decrease≥25% in income quantile) were also associated with increased CRC risk (HR≥2 vs. 0 declines 1.10, 95% CI 1.05–1.16; p for trend=0.001). In contrast, persistent high income (i.e., highest income quartile) was associated with decreased CRC risk (HRn=5years vs. n=0years 0.81, 95% CI 0.73–0.89; p for trend<0.0001), which was more pronounced for rectal cancer (HR 0.64, 95% CI 0.53–0.78) and distal colon cancer (HR 0.70, 95% CI 0.57–0.86).Conclusions: Our findings underscore the need for increased public policy awareness of the association between income dynamics and CRC risk in adults with T2D.

To examine the effect of food insecurity during college on graduation and degree attainment. Secondary analysis of longitudinal panel data. We measured food insecurity concurrent with college enrolment using the 18-question United States Department of Agriculture Household Food Security Survey Module. Educational attainment was measured in 2015-2017 via two questions about college completion and highest degree attained. Logistic and multinomial logit models adjusted for socio-demographic characteristics were estimated. USA. A nationally representative, balanced panel of 1574 college students in the USA in 1999-2003 with follow-up through 2015-2017 from the Panel Study of Income Dynamics. In 1999-2003, 14·5 % of college students were food-insecure and were more likely to be older, non-White and first-generation students. In adjusted models, food insecurity was associated with lower odds of college graduation (OR 0·57, 95 % CI: 0·37, 0·88, P = 0·01) and lower likelihood of obtaining a bachelor's degree (relative risk ratio (RRR) 0·57 95 % CI: 0·35, 0·92, P = 0·02) or graduate/professional degree (RRR 0·39, 95 % CI: 0·17, 0·86, P = 0·022). These associations were more pronounced among first-generation students. And 47·2 % of first-generation students who experienced food insecurity graduated from college; food-insecure first-generation students were less likely to graduate compared to first-generation students who were food-secure (47·2 % v. 59·3 %, P = 0·020) and non-first-generation students who were food-insecure (47·2 % v. 65·2 %, P = 0·037). Food insecurity during college is a barrier to graduation and higher-degree attainment, particularly for first-generation students. Existing policies and programmes that help mitigate food insecurity should be expanded and more accessible to the college student population.

Background The coronavirus disease 2019 (COVID-19) has resulted in an enormous dislocation of society especially in South Africa. The South African government has imposed a number of measures aimed at controlling the pandemic, chief being a nationwide lockdown. This has resulted in income loss for individuals and firms, with vulnerable populations (low earners, those in informal and precarious employment, etc.) more likely to be adversely affected through job losses and the resulting income loss. Income loss will likely result in reduced ability to access healthcare and a nutritious diet, thus adversely affecting health outcomes. Given the foregoing, we hypothesize that the economic dislocation caused by the coronavirus will disproportionately affect the health of the poor. Methods Using the fifth wave of the National Income Dynamics Study (NIDS) dataset conducted in 2017 and the first wave of the NIDS-Coronavirus Rapid Mobile Survey (NIDS-CRAM) dataset conducted in May/June 2020, this paper estimated income-related health inequalities in South Africa before and during the COVID-19 pandemic. Health was a dichotomized self-assessed health measure, with fair and poor health categorized as “poor” health, while excellent, very good and good health were categorized as “better” health. Household per capita income was used as the ranking variable. Concentration curves and indices were used to depict the income-related health inequalities. Furthermore, we decomposed the COVID-19 era income-related health inequality in order to ascertain the significant predictors of such inequality. Results The results indicate that poor health was pro-poor in the pre-COVID-19 and COVID-19 periods, with the latter six times the value of the former. Being African (relative to white), per capita household income and household experience of hunger significantly predicted income-related health inequalities in the COVID-19 era (contributing 130%, 46% and 9% respectively to the inequalities), while being in paid employment had a nontrivial but statistically insignificant contribution (13%) to health inequality. Conclusions Given the significance and magnitude of race, hunger, income and employment in determining socioeconomic inequalities in poor health, addressing racial disparities and hunger, income inequality and unemployment will likely mitigate income-related health inequalities in South Africa during the COVID-19 pandemic.

Income inequality and the achievement test score gap between high-and low-income children increased dramatically in the United States beginning in the 1970s. This article investigates the demographic (family income, mother's education, family size, two-parent family structure, and age of mother at birth) underpinnings of the growing income-based gap in schooling using data from the Panel Study of Income Dynamics. Across 31 cohorts, we find that increases in the income gap between high- and low-income children account for approximately three-quarters of the increasing gap in completed schooling, one-half of the gap in college attendance, and one-fifth of the gap in college graduation. We find no consistent evidence of increases in the estimated associations between parental income and children's completed schooling. Increasing gaps in the two-parent family structures of high- and low-income families accounted for relatively little of the schooling gap because our estimates of the (regression-adjusted) associations between family structure and schooling were surprisingly small for much of our accounting period. On the other hand, increasing gaps in mother's age at the time of birth accounts for a substantial portion of the increasing schooling gap: mother's age is consistently predictive of children's completed schooling, and the maternal age gap for children born into low- and high-income families increased considerably over the period.

Objective This brief report presents contemporary national estimates of the spatial distance between residences of parents and adult children in the United States, including distance to one's nearest parent or adult child and whether one lives near all of their parents and adult children. Background The most recent national estimates of parent–child spatial proximity come from data for the early 1990s. Moreover, research has rarely assessed the spatial clustering of all parents and adult children. Method Data are from the 2013 Panel Study of Income Dynamics on residential locations of adults aged 25 years and older and each of their parents and adult children. The following two measures of spatial proximity were estimated: the share of adults who have their nearest parent or adult child at a given distance and the share of adults who have all parents and/or all adult children at a given distance. Sociodemographic and geographic differences were examined for both measures. Results Among the adults with at least one living parent or adult child, a significant majority (74.8%) had their nearest parent or adult child within 30 miles, and about one third (35.5%) had all parents and adult children living that close. Spatial proximity differed substantially among sociodemographic groups, with those who were disadvantaged more likely to have their parents or adult children nearby. In most cases, sociodemographic disparities were much higher when spatial proximity was measured by proximity to all parents and all adult children instead of to the nearest parent or nearest adult child. Conclusion Disparities in having all parents and/or adult children nearby may be a result of family solidarity and also may affect family solidarity. This report sets the stage for new investigations of the spatial dimension of family cohesion.

Background: Individuals with type 2 diabetes mellitus (T2DM) have increased colorectal cancer (CRC) risk, but it is unknown whether income dynamics are associated with CRC risk in these individuals. We examined whether persistent low- or high-income and income changes are associated with CRC risk in non-elderly adults with T2DM.Methods: Using nationally representative data from the Korean Health Insurance Service database, 1,909,492 adults aged 30 to 64 years with T2DM and no history of cancer were included between 2009 and 2012 (median follow-up of 7.8 years). We determined income levels based on health insurance premiums and assessed annual income quartiles for the baseline year and the four preceding years. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for sociodemographic factors, CRC risk factors, and diabetes duration and treatment.Results: Persistent low income (ie, lowest income quartile) was associated with increased CRC risk (HR5 years vs 0 years 1.11; 95% CI, 1.04–1.18; P for trend = 0.004). Income declines (ie, a decrease ≥25% in income quantile) were also associated with increased CRC risk (HR≥2 vs 0 declines 1.10; 95% CI, 1.05–1.16; P for trend = 0.001). In contrast, persistent high income (ie, highest income quartile) was associated with decreased CRC risk (HR5 years vs 0 years 0.81; 95% CI, 0.73–0.89; P for trend < 0.0001), which was more pronounced for rectal cancer (HR 0.64; 95% CI, 0.53–0.78) and distal colon cancer (HR 0.70; 95% CI, 0.57–0.86).Conclusion: Our findings underscore the need for increased public policy awareness of the association between income dynamics and CRC risk in adults with T2DM.

In this paper, we use administrative data from the social security to study income dynamics and income risk inequality in Spain between 2005 and 2018. We construct individual measures of income risk as functions of past employment history, income, and demographics. Focusing on males, we document that income risk is highly unequal in Spain: More than half of the economy has close to perfect predictability of their income, while some face considerable uncertainty. Income risk is inversely related to income and age, and income risk inequality increases markedly in the recession. These findings are robust to a variety of specifications, including using neural networks for prediction and allowing for individual unobserved heterogeneity.

We provide a comprehensive analysis of income inequality and income dynamics for Germany over the last two decades. Combining personal income tax and social security data allows us-for the first time-to offer a complete picture of the distribution of annual earnings in Germany. We find that cross-sectional inequality rose until 2009 for men and women. After the Great Recession, inequality continued to rise at a slower rate for men and fell slightly for women due to compression at the lower tail. We further document substantial gender differences in average earnings and inequality over the life cycle. While for men earnings rise and inequality falls as they grow older, many women reduce working hours when starting a family such that average earnings fall and inequality increases. Men's earnings changes are on average smaller than women's but are substantially more affected by the business cycle. During the Great Recession, men's earnings losses become magnified and gains are attenuated. Apart from recession years, earnings changes are significantly right-skewed reflecting the good overall state of the German labor market and increasing labor supply. In the second part of the paper, we study the distribution of total income including incomes of self-employed, business owners, and landlords. We find that total inequality increased significantly more than earnings inequality. Regarding income dynamics, entrepreneurs' income changes are more dispersed, less skewed, less leptokurtic, and less dependent on average past income than workers' income changes. Finally, we find that top income earners have become less likely to fall out of the top 1 and 0.1%.

Economic life for most American households is quite dynamic. Such income instability is an understudied aspect of households' economic contexts that may have distinct consequences for children. We examine the empirical relationship between household income instability, as measured by intrayear income change, and adolescent school behavior outcomes using a nationally representative sample of households with adolescents from the Survey of Income and Program Participation 2004 panel. We find an unfavorable relationship between income instability and adolescent school behaviors after controlling for income level and a large set of child and family characteristics. Income instability is associated with a lower likelihood of adolescents being highly engaged in school across the income spectrum and predicts adolescent expulsions and suspensions, particularly among low-income, older, and racial minority adolescents.

Purpose“The latest available cross-country data presented in the PEPPER V Report (Lowitzsch and Hashi, 2024) can be viewed by examining EFP in and of itself as an isolated subject or it can be viewed in a much wider set of contexts. Widening the lens in order to examine EFP in the context of the concentration of capital ownership and the concentration of capital income can help observers establish EFP’s span of relevance. In particular US data on capital income show that policy makers need to be aware that EFP can have an important role in narrowing the income and wealth gap for the working middle class when the concentration of capital ownership and capital income is high and when real wage growth is low.”Design/methodology/approach“Against this background, this article makes a very straightforward observation that the relevance of EFP in an economic system, in a country, and for the average employee in a country is related to the trend in the concentration of capital ownership and capital income. Interest in the idea is potentially increased or decreased by trends in real wages. Atkinson, who many consider the founder of modern wealth concentration scholarship, “focuses on the increasing share of capital incomes a source of income inequality among individuals” (Cirillo et al., 2017, p. 1). Indeed, we consider the difference between labour’s share and capital’s share to be a critically important fundamental problem of political economy. This essay asserts that when this concentration is high and real wages are flat, other things being equal, EFP may be more relevant. When the concentration of capital ownership and capital income is high, this means that ownership and income on that ownership is thinly spread in the population. When real wages are flat, this means that the rate at which fixed wages can replenish wealth is decreasing. As a result, both trends would make EFP more relevant.”FindingsThe conceptual model suggested for this article asserts that the relevance of EFP can be viewed as a function of narrowing income and wealth options for the working middle class when the concentration of capital ownership and capital income is high and when real wage growth is low. Does this relevance change across economic systems? There is no question that the future understanding of these issues requires adding metrics to the statistical methodologies of different regions and countries and adding to existing reports and analyses that focus on both the dynamics of and trends in capital income (property income in the EU) and on the EUR and USD value of EFP at the mean and at the median for different income levels of the populationOriginality/valueThis article presents – for the first time – a society-wide measure of the impact of EFP on one economy, namely, the US For further research, it makes sense to build on the comparable data available on the distribution of capital ownership and have similar research on the distribution of capital income for both the EU and the US along with measures of the EUR and USD values of EFP.