The gender gap in the ownership of promising land.

Using millions of observations compiled from the public administrative data of Taiwan, we find a surprising gender inequity in terms of real estate: Men own more land than women, and the annual rate of return (ROR) of men's land outperform women's by almost 1% per year. The latter finding of gender-based ROR difference is in sharp contrast to prior evidence that women outperform men in security investment, and also suggests a quantity-and-quality double jeopardy in female land ownership which, given the heavy weight of real estate in individual wealth, has important implications for wealth inequality among men and women. Our statistical analyses suggest that such a gender-based difference in land ROR cannot be attributed to individual-level factors such as liquidity preferences, risk attitudes, investment experience, and behavioral biases, as described in the literature. Rather, we hypothesize parental gender bias-a phenomenon that is still prevalent today-to be the key macrolevel factor. To test our hypothesis, we partition our observations into two groups: an experimental group in which parents can exercise gender discretion, and a control group in which parents cannot exercise such discretion. Our empirical evidence shows that the gender difference with respect to land ROR only exists in the experimental group. For many societies with long-lasting patriarchal traditions, our analysis provides a perspective to help explain gender differences in wealth distribution and social mobility.

Climate change and the nonlinear impact of precipitation anomalies on income inequality.

Climate anomalies, such as floods and droughts, as well as gradual temperature changes have been shown to adversely affect economies and societies. Although studies find that climate change might increase global inequality by widening disparities across countries, its effects on within-country income distribution have been little investigated, as has the role of rainfall anomalies. Here, we show that extreme levels of precipitation exacerbate within-country income inequality. The strength and direction of the effect depends on the agricultural intensity of an economy. In high-agricultural-intensity countries, climate anomalies that negatively impact the agricultural sector lower incomes at the bottom end of the distribution and generate greater income inequality. Our results indicate that a 1.5-SD increase in precipitation from average values has a 35-times-stronger impact on the bottom income shares for countries with high employment in agriculture compared to countries with low employment in the agricultural sector. Projections with modeled future precipitation and temperature reveal highly heterogeneous patterns on a global scale, with income inequality worsening in high-agricultural-intensity economies, particularly in Africa. Our findings suggest that rainfall anomalies and the degree of dependence on agriculture are crucial factors in assessing the negative impacts of climate change on the bottom of the income distribution.

Workplace inequality is associated with status-signaling expenditure.

Regional inequality is known to magnify sensitivity to social rank. This, in turn, is shown to increase people's propensity to acquire luxury goods as a means to elevate their perceived social status. Yet existing research has focused on broad, aggregated datasets, and little is known about how individual-level measures of income interact with inequality within peer groups to affect status signaling. Using detailed financial transaction data, we construct 32,008 workplace peer groups and explore the longitudinal spending and salary data associated with 683,677 individuals. These data reveal links between people's status spending, their absolute salary, salary rank within their workplace peer group, and the inequality of their workplace salary distribution. Status-signaling luxury spending is found to be greatest among those who have higher salaries, whose workplaces exhibit higher inequality, and who occupy a lower rank position within the workplace. We propose that low-rank individuals in unequal workplaces suffer status anxiety and, if they can afford it, spend to signal higher status.

Food Environment Quality and Cardiovascular Disease Mortality in the United States: a County-Level Analysis from 2017 to 2019.

BACKGROUND: Upstream socioeconomic circumstances including food insecurity and food desert are important drivers of community-level health disparities in cardiovascular mortality let alone traditional risk factors. The study assessed the association between differences in food environment quality and cardiovascular mortality in US adults. DESIGN: Retrospective analysis of the association between cardiovascular mortality among US adults aged 45 and above and food environment quality, measured as the food environment index (FEI), in 2615 US counties. FEI was measured by equal weights of food insecurity (limited access to a reliable food source) and food desert (limited access to healthy food), ranging from 0 (worst) to 10 (best). Age-adjusted cardiovascular mortality rates per 100,000 adults aged 45 and above in the calendar year 2017-2019. County-level association between CVD mortality rate and FEI was modeled using generalized linear regression. Data were weighted using county population. RESULT: Median CVD deaths per 100,000 population were 645.4 (IQR 561.5, 747.0) among adults aged 45 years and above across US counties in 2017-2019. About 12.8% (IQR 10.7%, 15.1%) of residents were food insecure and 6.3% (IQR 3.6%, 9.9%) were living in food desert areas. Comparing counties by FEI quartiles, the CVD mortality rate was higher in the least healthy FE counties (704.3 vs 598.6 deaths per 100,000 population) compared to the healthiest FE counties. One unit increase in FEI was associated with - 12.95 CVD deaths/100,000 population. In the subgroup analysis of counties with higher income inequality, the healthiest food environment was associated with 46.4 lower CVD deaths/100,000 population than the least healthy food environment. One unit increase in FEI in counties with higher income inequality was associated with a fivefold decrease in CVD mortality difference in African American counties (- 18.4 deaths/100,000 population) when compared to non-African American counties (- 3.63 deaths/100,000 population). CONCLUSION: In this retrospective multi-county study in the USA, a higher food environment index was significantly associated with lower cardiovascular mortality.

Causal Assessment of Income Inequality on Self-Rated Health and All-Cause Mortality: A Systematic Review and Meta-Analysis.

Policy Points Income is thought to impact a broad range of health outcomes. However, whether income inequality (how unequal the distribution of income is in a population) has an additional impact on health is extensively debated. Studies that use multilevel data, which have recently increased in popularity, are necessary to separate the contextual effects of income inequality on health from the effects of individual income on health. Our systematic review found only small associations between income inequality and poor self-rated health and all-cause mortality. The available evidence does not suggest causality, although it remains methodologically flawed and limited, with very few studies using natural experimental approaches or examining income inequality at the national level. CONTEXT: Whether income inequality has a direct effect on health or is only associated because of the effect of individual income has long been debated. We aimed to understand the association between income inequality and self-rated health (SRH) and all-cause mortality (mortality) and assess if these relationships are likely to be causal. METHODS: We searched Medline, ISI Web of Science, Embase, and EconLit (PROSPERO: CRD42021252791) for studies considering income inequality and SRH or mortality using multilevel data and adjusting for individual-level socioeconomic position. We calculated pooled odds ratios (ORs) for poor SRH and relative risk ratios (RRs) for mortality from random-effects meta-analyses. We critically appraised included studies using the Risk of Bias in Nonrandomized Studies - of Interventions tool. We assessed certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework and causality using Bradford Hill (BH) viewpoints. FINDINGS: The primary meta-analyses included 2,916,576 participants in 38 cross-sectional studies assessing SRH and 10,727,470 participants in 14 cohort studies of mortality. Per 0.05-unit increase in the Gini coefficient, a measure of income inequality, the ORs and RRs (95% confidence intervals) for SRH and mortality were 1.06 (1.03-1.08) and 1.02 (1.00-1.04), respectively. A total of 63.2% of SRH and 50.0% of mortality studies were at serious risk of bias (RoB), resulting in very low and low certainty ratings, respectively. For SRH and mortality, we did not identify relevant evidence to assess the specificity or, for SRH only, the experiment BH viewpoints; evidence for strength of association and dose-response gradient was inconclusive because of the high RoB; we found evidence in support of temporality and plausibility. CONCLUSIONS: Increased income inequality is only marginally associated with SRH and mortality, but the current evidence base is too methodologically limited to support a causal relationship. To address the gaps we identified, future research should focus on income inequality measured at the national level and addressing confounding with natural experiment approaches.

The Total Effect of Social Origins on Educational Attainment: Meta-analysis of Sibling Correlations From 18 Countries.

The sibling correlation (SC), which estimates the total effect of family background (i.e., social origins), can be interpreted as measuring a society's inequality of opportunity. Its sensitivity to observed and unobserved factors makes the SC an all-encompassing measure and an attractive choice for comparative research. We gather and summarize all available estimates of SCs in educational attainment (M = .46, SD = .09) and employ meta-regression to explore variability in these estimates. First, we find significantly lower SCs in Sweden, Norway, Finland, and Denmark than in the United States, with U.S. correlations roughly .10 (i.e., 25%) higher. Most other (primarily European) countries in our study are estimated to fall in between these countries and the United States. Second, we find a novel Great Gatsby Curve-type positive association between income inequality in childhood and the SC, both cross-nationally and within countries over time. This finding supports theoretical accounts of the Great Gatsby Curve that emphasize the role of educational inequality as a link between economic inequality and social immobility. It implies that greater equality of educational opportunity likely requires reduced economic inequality. Additionally, correlations between sisters are modestly higher, on average, than those between brothers or all siblings, and we find no overall differences between cohorts.

Navigating trust and health in India: the influence of social status and neighbourhood environment.

BACKGROUND: The research on the relationship between interpersonal trust and health has primarily focused on Western contexts, with scarce attention in developing contexts. Addressing this gap, the study examines the association between interpersonal trust (both generalised and particularised) and health outcomes (self-rated health /SRH, and depression) among Indian adults, considering the moderating roles of social statuses (gender and caste) and macro-level factors like district-level income inequality. METHODS: The study draws on data from the World Health Organization's (WHO) Study on global AGEing and adult health (SAGE) Wave-1, collected between 2007 and 2010. This dataset provides a comprehensive overview of health outcomes, including self-rated health (SRH) and depression, socio-cultural status of adults aged 18 and above in India. Additionally, district-level data on income inequality, quantified through the Gini index, were incorporated to examine the influence of contextual socioeconomic influence on the trust-health relationship. Multilevel regression analysis with interaction effects with social statuses and income inequality at district was employed in the analysis to investigate the intricate relationship between interpersonal trust (both generalised and particularised) and health outcomes. RESULTS: The study reveals that while generalised trust does not directly influence depression or SRH, particularised trust acts as a protective factor for both health outcomes. Gender-specific interaction effect shows that generalised trust reduces depression among males and improves SRH among females. Notably, caste does not significantly moderate the trust-health relationship. High district-level income inequality, however, modifies these associations: generalised trust is associated with improved SRH in areas of high inequality, whereas particularised trust correlates with increased depression in these districts. CONCLUSION: The findings highlight the complex dynamics between interpersonal trust, social status, and income inequality in shaping health outcomes in India. Generalised trust emerges as a potential buffer against the health-detrimental effects of income inequality, providing crucial insights for developing targeted health interventions. These results offer valuable guidance for global health policymakers and practitioners in effectively allocating development aid to enhance health outcomes, especially among the most marginalised groups.

Income inequality and depressive symptoms among Chinese adults: a quasi-experimental study.

OBJECTIVE: There is a lack of causal evidence on the impact of income inequality on depressive symptoms. The impact of China's Targeted Poverty Alleviation (TPA) policy on depressive symptoms is also unclear. Using a quasi-experimental design, this study aims to investigate the causal effects of TPA and income inequality on depressive symptoms among Chinese adults. STUDY DESIGN: This is a population-based study. METHODS: Three waves (2012, 2016, and 2018) of the China Family Panel Studies (CFPS), a nationally representative sample of China, were included in this study. We performed difference-in-difference (DID) models to assess the effect of TPA and income inequality on depressive symptoms. We further conducted the mixed effect models to examine the impact of income inequality on depressive symptoms. The study considered a range of spatial factors and spatial splines to address spatial autocorrelations. RESULTS: This study included valid measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale [CES-D-8] score) from 14,442 adults of CFPS. The DID results indicated that at the provincial level, the CES-D-8 score of the TPA treatment group was on average 0.570 (95% confidence interval [CI]: 0.358-0.783) less than the control group. Furthermore, a 0.1 increase in Gini index would lead to a 0.256 (95% CI: 0.064-0.448) increase in CES-D-8 score. The mixed effect model showed that income inequality was a risk factor for depressive symptoms at the provincial level (excess risk = 5.602% [95% CI: 3.047%-8.219%]). CONCLUSIONS: Our findings suggest that income inequality adversely affects mental health, but China's Targeted Poverty Alleviation improves the mental health of the Chinese population.

Income Inequality and the Odds of Online Gambling Among a Large Sample of Adolescents in Canada.

Consistent evidence points to the detrimental effects of income inequality on population health. Income inequality may be associated with online gambling, which is of concern since gambling is a risk factor for adverse mental health conditions, such as depression and suicide ideation. Thus, the overall objective of this study is to study the role of income inequality on the odds of participating in online gambling. Data from 74,501 students attending 136 schools participating in the 2018/2019 Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behaviour (COMPASS) survey were used. The Gini coefficient was calculated based on school census divisions (CD) using the Canada 2016 Census linked with student data. We used multilevel modeling to explore the association between income inequality and self-reported participation in online gambling in the last 30 days, while controlling for individual- and area-level characteristics. We examined whether mental health (depressive and anxiety symptoms, psychosocial wellbeing), school connectedness, and access to mental health programs mediate this relationship. Adjusted analysis indicated that a standardized deviation (SD) unit increase in Gini coefficient (OR = 1.17, 95% CI 1.05, 1.30) was associated with increased odds of participating in online gambling. When stratified by gender, the association was significant only among males (OR = 1.12, 95% CI 1.03, 1.22). The relationship between higher income inequality and greater odds for online gambling may be mediated by depressive and anxiety symptoms, psychosocial well-being, and school connectedness. Evidence points to further health consequences, such as online gambling participation, stemming from exposure to income inequality.

Renewable energy, inequality and environmental degradation.

The connection between income inequality and environmental degradation remains a topic of persistent debate, marked by inconsistencies in both theoretical and empirical studies. This study offers a novel contribution to this discourse by investigating the simultaneous influences of renewable energy and income inequality on environmental degradation. Utilizing data from 158 nations from 2000 to 2017, our research reveals a crucial moderating role of renewable energy in the nexus between income inequality and environmental degradation. The study's key finding is that the impact of income inequality on environmental degradation is contingent on the level of renewable energy development. In scenarios with limited renewable energy, income equality leads to increased environmental degradation. However, when renewable energy is more developed, income equality contributes to reducing environmental degradation. This novel insight suggests that renewable energy development can mitigate the trade-off between pursuing income equality and environmental sustainability, thereby enabling their simultaneous achievement. The research also highlights that a more equitable income distribution enhances the environmental benefits of renewable energy. Further analysis demonstrates the significant role played by household consumption behavior and social norms in shaping this phenomenon. By adding these new dimensions to the existing literature, the study significantly enriches the understanding of the complex interplay among economic factors, renewable energy, and environmental sustainability.

Police shootings, violent crime, race and socio-economic factors in municipalities in the United States of America.

BACKGROUND: Both police shootings and violent crime remain high in the United States of America compared to other developed nations but debates continue about whether race, mental health or other social factors are related to them. AIMS: Our aim was to test relationships between community factors indicative of socio-economic status, racial demographics, police shootings, and violent crime. METHODS: Data on police shootings, violent crime and community sociodemographic factors were drawn from two publicly accessible datasets: health and police records of 100 US municipalities and relationships between them explored using regression analyses. RESULTS: Data were from the 100 largest US municipalities as designated by the mapping police violence database. The median per capital violent crime rate was 5.94 and median killings by police per 10 thousand arrests was 13.7. Violent crime was found to be related mainly to income inequality and lower academic achievement in the community. Race was unrelated to violent crime after controlling for other factors. Police shootings were found to be related to community level mental health concerns, food insecurity and the municipality's violent crime rate. CONCLUSION: The evidence suggests that socio-economic factors are the primary drivers of both violent crime perpetration and police shootings. Policy approaches aimed at improving education and reducing poverty are likely to mitigate both violent crime and police shootings. However, it is important to recognise that being Black is an indicator of particular disadvantage within this context. This underscores the need for comprehensive strategies that address the systemic issues of racial disparities and socio-economic inequality, while also acknowledging the complex interplay of race, poverty and policing in the context of violent crime and police shootings.

Urban-rural differences in the prevalence of having a family dentist and their association with income inequality among Japanese individuals: a cross-sectional study.

BACKGROUND: Few reported studies evaluate the status of those who have a family dentist (FD) by regional differences and the socioeconomic factors associated with this status. This study aimed to assess the prevalence of having an FD among Japanese individuals across three samples of municipality type: urban, intermediate, and rural areas, and determine the factors associated with having an FD. METHODS: This was a cross-sectional study involving a web-based survey. In total, 2,429 participants (comprising men and women aged 20-69 years) were randomly selected from among the registrants of a web research company: 811 urban residents, 812 intermediate residents, and 806 rural residents. In each area, we categorized the participants into those who had an FD (FD group) and those who did not (non-FD group). A multivariate modified Poisson regression analysis was used to determine the factors associated with the FD group as compared to the non-FD group. RESULTS: The proportion of the FD group was lowest in rural areas (42.3%), followed by intermediate (48.6%) and urban areas (49.7%). The regression analysis revealed a statistically significant tendency between associated factors in the two groups; that is, the higher the household income, the more likely that the family belonged to the FD group (prevalence ratio (95%CI), JPY 4-6 million: 1.43 (1.00-2.03), JPY ≥ 8 million: 1.72 (1.21-2.44)). CONCLUSIONS: Rural areas have the lowest proportion of people with an FD among the three areas, and income inequality is associated with having an FD. Thus, when planning policies to encourage individuals to have an FD to manage their oral health, it is necessary to consider regional differences.

A scoping review of early childhood caries, poverty and the first sustainable development goal.

BACKGROUND: Poverty is a well-known risk factor for poor health. This scoping review (ScR) mapped research linking early childhood caries (ECC) and poverty using the targets and indicators of the Sustainable Development Goal 1 (SDG1). METHODS: We searched PubMed, Web of Science, and Scopus in December 2023 using search terms derived from SDG1. Studies were included if they addressed clinically assessed or reported ECC, used indicators of monetary or multidimensional poverty or both, and were published in English with no date restriction. We excluded books and studies where data of children under 6 years of age could not be extracted. We charted the publication year, study location (categorized into income levels and continents), children age, sample size, study design, measures of ECC, types and levels of poverty indicators and adjusted analysis. The publications were also classified based on how the relation between poverty and ECC was conceptualized. RESULTS: In total, 193 publications were included with 3.4 million children. The studies were published from 1989 to 2023. Europe and North America produced the highest number of publications, predominantly from the UK and the US, respectively. Age-wise, 3-5-year-olds were the most studied (62.2%). Primary studies (83.9%) were the majority, primarily of cross-sectional design (69.8%). Non-primary studies (16.1%) included reviews and systematic reviews. ECC was mainly measured using the dmf indices (79.3%), while poverty indicators varied, with the most common used indicator being income (46.1%). Most studies measured poverty at family (48.7%) and individual (30.1%) levels. The greatest percentage of publications addressed poverty as an exposure or confounder (53.4%), with some studies using poverty to describe groups (11.9%) or report policies or programs addressing ECC in disadvantaged communities (11.4%). In addition, 24.1% of studies requiring adjusted analysis lacked it. Only 13% of publications aligned with SDG1 indicators and targets. CONCLUSION: The ScR highlight the need for studies to use indicators that provide a comprehensive understanding of poverty and thoroughly examine the social, political, and economic determinants and impact of ECC. More studies in low and middle-income countries and country-level studies may help design interventions that are setting- and economic context-relevant.

Globalization of production, manufacturing employment, and income inequality in developing nations.

Theories of income distribution in developing nations suggest contrasting expectations regarding how employment industrialization affects income inequality. However, past studies have not considered how the globalization of production shapes the relationship between manufacturing share of employment and income inequality in developing countries. Relatedly, social scientists argue that the globalization of production has exacerbated inequality, but past cross-national research focused on the Global South has yielded inconsistent findings regarding the trade-inequality link. In this article, I draw on the political economy literature focused on the distributional effects of global value chains (GVCs) in the developing world and argue that the rise of globalized production in recent decades has undermined the egalitarian characteristics of the manufacturing sector. While the sector was characterized by higher wages for low-skilled workers and a compressed wage distribution, I argue that rising competition, declining bargaining power of workers, and skill-biased industrial upgrading associated with GVCs has stretched wage distributions and heightened the skill premium in the manufacturing sector. Empirical analyses of cross-national panel data from broad samples of developing nations between 1970 and 2014 suggest that global integration has diminished the equalizing effect of manufacturing employment. I conclude by discussing the prospects for inclusive development in this era of globalization as well as the theoretical and policy implications of these findings.

Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis.

The COVID-19 pandemic has further increased income inequality. This work is aimed to explore the impact of income inequality on the environmental Kuznets curve (EKC) hypothesis. To this end, income inequality is set as the threshold variable, economic growth is set as the explanatory variable, while carbon emission is set as the explained variable, and the threshold panel model is developed using the data of 56 countries. The empirical results show that income inequality has changed the relationship between economic growth and carbon emissions from an inverted U-shaped to an N-shaped, which means that income inequality redefines the environmental Kuznets curve and increases the complexity of the decoupling of economic growth and carbon emissions. Specifically, economic growth significantly increases carbon emissions during periods of low income inequality, however, as income inequality increases, economic growth in turn suppresses carbon emissions. In the period of high income inequality, economic growth inhibits the increase of carbon emissions. However, with the increase of income inequality, the impact of economic growth on carbon emission changes from inhibiting to promoting. Panel regressions for robustness tests show that this phenomenon is more pronounced in high-income countries. We therefore contend that the excessive income inequality is bad for the win-win goal of economic growth without carbon emission growth, and the income distribution policy should be included in the carbon neutral strategy.

"'Oh gosh, why go?' cause they are going to look at me and not hire": intersectional experiences of black women navigating employment during pregnancy and parenting.

BACKGROUND: Workplace legal protections are important for perinatal health outcomes. Black birthing people are disproportionally affected by pregnancy discrimination and bias in the employment context and lack of family-friendly workplace policies, which may hinder their participation in the labor force and lead to gender and racial inequities in income and health. We aimed to explore Black pregnant women's experiences of pregnancy discrimination and bias when looking for work, working while pregnant, and returning to work postpartum. Additionally, we explored Black pregnant women's perspectives on how these experiences may influence their health. METHODS: Using an intersectional framework, where oppression is based on intersecting social identities such as race, gender, pregnancy, and socioeconomic status, we conducted an analysis of qualitative data collected for a study exploring the lived experience of pregnancy among Black pregnant women in New Haven, Connecticut, United States. Twenty-four women participated in semi-structured interviews (January 2017-August 2018). Interview transcripts were analyzed using grounded theory techniques. RESULTS: Participants expressed their desire to provide a financially secure future for their family. However, many described how pregnancy discrimination and bias made it difficult to find or keep a job during pregnancy. The following three themes were identified: 1) "You're a liability"; difficulty seeking employment during pregnancy; 2) "This is not working"; experiences on the job and navigating leave and accommodations while pregnant and parenting; and 3) "It's really depressing. I wanna work"; the stressors of experiencing pregnancy discrimination and bias. CONCLUSION: Black pregnant women in this study anticipated and experienced pregnancy discrimination and bias, which influenced financial burden and stress. We used an intersectional framework in this study which allowed us to more fully examine how racism and economic marginalization contribute to the lived experience of Black birthing people. Promoting health equity and gender parity means addressing pregnancy discrimination and bias and the lack of family-friendly workplace policies and the harm they cause to individuals, families, and communities, particularly those of color, throughout the United States.

Socio-economic correlates of childhood obesity in urban and rural England.

OBJECTIVE: Physical access to food may affect diet and thus obesity rates. We build upon existing work to better understand how socio-economic characteristics of locations are associated with childhood overweight. DESIGN: Using cross-sectional design and publicly available data, the study specifically compares rural and urban areas, including interactions of distance from supermarkets with income and population density. SETTING: We examine cross-sectional associations with obesity prevalence both in the national scale and across urban and rural areas differing in household wealth. PARTICIPANTS: Children in reception class (aged 4-5) from all state-maintained schools in England taking part in the National Child Measurement Programme (n 6772). RESULTS: Income was the main predictor of childhood obesity (adj. R-sq=.316, p<.001), whereas distance played only a marginal role (adj. R-sq=.01, p<.001). In urban areas, distance and density correlate with obesity directly and conditionally. Urban children were slightly more obese, but the opposite was true for children in affluent areas. Association between income poverty and obesity rates was stronger in urban areas (7·59 %) than rural areas (4·95 %), the former which also showed stronger association between distance and obesity. CONCLUSIONS: Obesogenic environments present heightened risks in deprived urban and affluent rural areas. The results have potential value for policy making as for planning and targeting of services for vulnerable groups.

A century of educational inequality in the United States.

The "income inequality hypothesis" holds that rising income inequality affects the distribution of a wide range of social and economic outcomes. Although it is often alleged that rising income inequality will increase the advantages of the well-off in the competition for college, some researchers have provided descriptive evidence at odds with the income inequality hypothesis. In this paper, we track long-term trends in family income inequalities in college enrollment and completion ("collegiate inequalities") using all available nationally representative datasets for cohorts born between 1908 and 1995. We show that the trends in collegiate inequalities moved in lockstep with the trend in income inequality over the past century. There is one exception to this general finding: For cohorts at risk for serving in the Vietnam War, collegiate inequalities were high, while income inequality was low. During this period, inequality in college enrollment and completion was significantly higher for men than for women, suggesting a bona fide "Vietnam War" effect. Aside from this singular confounding event, a century of evidence establishes a strong association between income and collegiate inequality, providing support for the view that rising income inequality is fundamentally changing the distribution of life chances.

Distribution of the compression and expansion of morbidity in 194 countries and territories, 1990-2016: The role of income inequality.

Studies on detailed types of health changes and the associations between the types and income inequality are inadequate. This study analyses the global distribution of the compression and expansion of morbidity in 194 countries and territories between 1990 and 2016, and investigates the role of income inequality in the distribution. This study shows that all seven types of health changes coexist, despite being distributed unevenly. The relative expansion of morbidity with increased or constant life expectancy (Type 6, 54.48%) is the most popular type, followed by the relative compression of morbidity with increased or constant life expectancy (Type 3, 30.71%). Income distribution within a society matters for health changes. Societies with greater income inequality tend to have Type 6, a worse scenario of health changes. Measures to reduce income inequality or mitigate its adverse effects will contribute to the relative compression of morbidity with increased or constant life expectancy.

Additional social welfare of environmental regulation: The effect of environmental taxes on income inequality.

This study utilizes the environmental tax reform in China as a quasi-natural experiment to investigate the effect of environmental taxes on income inequality. In January 2018, the Environmental Protection Tax Law (EPTL) came into effect in China, provinces began to collect environmental taxes in accordance with the law. We find that the reform contributes to lower within-firm wage inequality. The reform leads to declines in executive compensation and increases in worker wages. We further find that tax enforcement, environmental regulations, fiscal stress and tax competition vary the relationship between the reform and wage inequality. Heterogeneity analyses show that the effect is greater in non-state-owned firms, small firms, and firms with higher board shareholdings. Extensive robustness tests corroborate our inferences. This paper verifies the effectiveness of environmental regulation in enhancing social welfare, and is beneficial for assessing the welfare effects of environmental regulation more accurately. The findings can also help the government reduce obstacles in the implementation of environmental taxes, and further enhance the effectiveness of the EPTL.