Demographic,Residential, and Socioeconomic Effects on the Distribution of Nineteenth-Century White Body Mass Index Values

Little research exists on the body mass index (BMI) values of nineteenth-century Americans of European descent. Examination of a new body mass index data set and robust statistical analysis yields the following conclusion: between 1860 and 1880, BMIs decreased across the distribution; however, after 1880, BMIs in the highest quantiles increased, while those in lower BMI quantiles continued to decrease. Late nineteenth- and early twentieth-century white BMIs increased at older ages in higher quantiles and decreased in lower quantiles, indicating significant net biological disparity by age. During industrialization, white BMIs were lower in Kentucky, Missouri, and urban Philadelphia.     

Gentrification and Segregated Wealth in Rural America: Home Value Sorting in Destination Counties

The term “gentrification” carries conflicting popular connotations, conjuring images of both revitalization and displacement. Despite a rich critical literature from urban social scientists, gentrification as it relates to rural housing and rural development is a similarly conflicted term. With the frequent conflation of rural gentrification and economic improvement, researchers and policy-makers alike need more nuanced techniques for identifying how the process distributes costs and benefits across households. This paper operationalizes rural gentrification as a specific demographic pattern of household migration, termed the “Rural Gentrification Score,” and maps its footprint between 1980 and 2000 in 25 US states. It then uses census data to better understand the impacts of rural gentrification on home values in rural counties, interrogating the popular notion that homeowners benefit from gentrification. Using comparative analyses, two related hypotheses about rural gentrification and inequality are explored: (1) that gentrified rural counties were susceptible to greater home value segregation and (2) that over time gentrification’s spread culminated in greater homogeneity of home values. Results support each of these hypotheses and point to nuances in the relationship between population turnover, inequality, and socioeconomic context. Most notably the findings highlight a spatial and temporal pattern of widening wealth inequality in gentrifying rural counties.     

Economic inequality and child stunting in Bangladesh and Kenya: an investigation of six hypotheses

Consistent with the increasing focus on issues of equity in developing countries, I extend the literature analyzing the relationship between economic inequality and individual health to the developing world. Using survey data from Bangladesh and Kenya with economic status measured by a wealth index and with three different geographic definitions of community, I analyze six competing hypotheses for how economic inequality may be related to stunting among children younger than 5 years old. I find little support for the predominant hypothesis that economic inequality as measured by a Gini index is an important predictor of individual health. Instead, I find that the difference between a household's wealth and the mean household wealth in the community is the measure of economic inequality that is most closely related to stunting in these countries. In particular, a 1 standard deviation increase in household wealth relative to the community mean is associated with a 30–32 percent decrease in the odds of stunting in Bangladesh and a 16–21 percent decrease in the odds of stunting in Kenya.     

Inequality, Wealth and Health: Is Decreasing Income Inequality the Key to Create Healthier Societies?

The idea that the level of stratification of societies contributes to the well-being of their members is gaining popularity. We contribute to this debate by investigating whether reducing inequalities in the income distribution of societies is a strategy for improving population health, especially appropriate for those countries that have reached the limits of economic growth. We test this idea on a dataset covering 140 countries and 2360 country-year observation between 1987 and 2008 and formulate hypotheses separately for countries with different level of economic development. We indeed found that countries with higher levels of income inequality also have lower levels of life expectancy (our measure of population health), and this result was consistent both in cross-sectional and longitudinal analyses. However, the relationship was found only among low- and middle-developed countries. In the group of high-developed countries, the relationship between income inequality and life expectancy was non-significant, which contradicts the literature. Expectations on the relationship between a country’s wealth and health were confirmed: economic growth does contribute to improving population health, but this effect is weaker in more economically developed countries. These results imply that a decrease in a country’s income inequality parallel with an increase in its wealth can help to improve health in economically lesser-developed countries, but not in high-developed countries.     

Educational Assortative Mating and Income Inequality in Denmark

Many writers have expressed a concern that growing educational assortative mating will lead to greater inequality between households in their earnings or income. In this article, we examine the relationship between educational assortative mating and income inequality in Denmark between 1987 and 2006. Denmark is widely known for its low level of income inequality, but the Danish case provides a good test of the relationship between educational assortative mating and inequality because although income inequality increased over the period we consider, educational homogamy declined. Using register data on the exact incomes of the whole population, we find that change in assortative mating increased income inequality but that these changes were driven by changes in the educational distributions of men and women rather than in the propensity for people to choose a partner with a given level of education.     

Empirical indicators of educational equity and equality: A thai case study

The focus of this paper is social indicator reporting, not the development of scientific generalization. This social indicator analysis involves the development of an extensive set of empirical indicators to show the extent of equity and equality of education. Equity and equality are viewed as distinct concepts, each with its own indicators. The set of indicators proposed is applied to Thailand in a case study. Examples of indicators used are (1) the relationship between socioeconomic background and access to preschool education, (2) the relationship between provincial wealth and opportunities for upper primary education, (3) proportion of females in lower primary schools, and (4) degree of equality among provinces in grant per pupil in primary education. The discrepancy ratio is introduced as an indicator to standardize measures of inequality and inequity. This set of indicators shows moderate levels of inequality and inequity in Thailand, with the most serious problems at the preschool, secondary, and higher education levels. Empirical indicators of this type are viewed as critically necessary for governments everywhere to enable them to chart their progress toward greater equity and equality.     

Growing Wealth Gaps in Education

Prior research on trends in educational inequality has focused chiefly on changing gaps in educational attainment by family income or parental occupation. In contrast, this contribution provides the first assessment of trends in educational attainment by family wealth and suggests that we should be at least as concerned about growing wealth gaps in education. Despite overall growth in educational attainment and some signs of decreasing wealth gaps in high school attainment and college access, I find a large and rapidly increasing wealth gap in college attainment between cohorts born in the 1970s and 1980s, respectively. This growing wealth gap in higher educational attainment co-occurred with a rise in inequality in children’s wealth backgrounds, although the analyses also suggest that the latter does not fully account for the former. Nevertheless, the results reported here raise concerns about the distribution of educational opportunity among today’s children who grow up in a context of particularly extreme wealth inequality.     

中国城镇家庭户收入和财产不平等:1995～2002

利用中国家庭户收入调查收集的1995年和2002年城镇家庭户样本数据,以家庭户作为分析单位,对中国城镇收入和财产不平等进行了考察。数据分析结果表明:中国城镇家庭户收入的大多数不平等测量指标在1995～2002年7年间都存在一个显著的大幅度上升,但家庭户财产不平等在此期间呈现出略有下降的趋势;基于人口分组的分解反映出,区域、户主受教育程度和户主中共党员身份对总的家庭收入和财产不平等具有更大的贡献;总体上,对于1995～2002年的中国城镇而言,分类机制在左右家庭户资源不平等变动中扮演着更为重要的角色。     

The gender wealth gap:structural and material constraints and implications for later life

Wealth is an important measure of economic well-being, because while income captures the current state of inequality, wealth has the potential for examining accumulated and historically structured inequality. This presentation documents the extent of gender inequality in wealth for Canadian women and men aged 45 and older. The analysis uses data from the 1999 Canadian Survey of Financial Security, a large nationally representative survey of household wealth in Canada. Wealth is measured by total net worth as measured by total assets minus debt. We test two general hypotheses to account for gender differences in wealth. The differential exposure hypothesis suggests that women report less wealth accumulation because of their reduced access to the material and social conditions of life that foster economic security. The differential vulnerability hypothesis suggests that women report lower levels of wealth because they receive differential returns to material and social conditions of their lives. Support is found for both hypotheses. Much of the gender differences in wealth can be explained by the gendering of work and family roles that restricts women's ability to build up assets over the life course. But beyond this, there are significant gender interaction effects that indicate that women are further penalized by their returns to participation in family life, their health and where they live. When women do work, net of other factors, they are better able to accumulate wealth than their male counterparts.     

Get a job and keep it! High school employment and adult wealth accumulation

Wealth inequality receives substantial scholarly attention, but mounting evidence suggests that childhood and adolescent traits and experiences contribute to financial disparities in the United States. This study examines the relationship between adolescent labor force participation and adult wealth accumulation. I argue that employed high school students gain practical life skills, abilities, and knowledge from work experience and business exposure that shape investment decisions and affect overall net worth. I use the National Longitudinal Survey of Youth, 1979 cohort, to empirically explore this idea. This study extends the wealth literature by identifying adolescent employment as an important mechanism that improves adult net worth and financial well-being.     

Older Women's Health and Its Impact on Wealth

As many elderly women tend to outlive their spouses, there is a growing population of unmarried elderly women. Unmarried women are worse off than married women both financially and physically. A question that has not been answered is whether and how the relationship between health and wealth differs across elderly women's marital status. Do the negative impacts of health problems cause more serious financial consequences for unmarried elderly women than married women? Using the five waves of data from the Asset and Health Dynamics Among the Oldest Old (AHEAD) from 1993 to 2002, this question is empirically investigated. Results indicate that severe chronic conditions result in 4 to 10% greater wealth depletion for unmarried women than married women. This finding calls for heightened awareness of the negative financial consequences of health problems and also calls for increased lifetime earning potential, reconsideration of women's retirement benefits, and greater attention to preventive care.     

Unhealthy assimilation: Why do immigrants converge to American health status levels?

It is well documented that immigrants are in better health upon arrival in the United States than their American counterparts but that this health advantage erodes over time. We study the potential determinants of this "healthy immigrant effect, " with a particular focus on the tendency of immigrants to converge to unhealthy American BMI levels. Using data from the National Health Interview Survey, we find that average female and male immigrants enter the United States with BMIs that are approximately two and five percentage points lower than native-born women and men, respectively. Consistent with the declining health status of immigrants the longer they remain in the United States, we also find that female immigrants almost completely converge to American BMIs within 10 years of arrival, and men close a third of the gap within 15 years.     

Measures and meaning in comparisons of wealth equlality

How communities distribute wealth is one aspect for judging the performance of economic systems. Many inequality measures exist. Precentiles, Gini coefficients, and statistical pattern measures each rest on different concepts about what equality and inequality mean. Wealth distribution data from 55 communities are compared relative to Gini coefficient, kurtosis, and coefficient of variation. These data show no community with perfect equality. Most communities have some inequality. The general pattern is for wealth inequality to increase with the development of market and mechanized industrial economies.     

Gender,power, and population change

This report describes fertility and mortality trends in developing countries and discusses how gender is defined and measured in some countries. The discussion relies on case studies and country statistics to reveal how gender shapes the lives of all people in all societies. Gender is defined as the different roles women and men play in society. Gender is manifested in institutional structures, power relations, and culturally determined behavior. In no society do women and men share equal roles. The effects of inequality for women are manifested differently between countries. The 1994 International Conference on Population and Development in Cairo established the goal of gender equality. Educational enrollment and illiteracy are two measures of gender inequality that affect opportunities in society for advancement, power, and status. Girls are less likely to be enrolled in school than boys and more likely to have higher absenteeism rates. In China, absenteeism of girls is actually increasing under reforms. Marriage practices may devalue the investment in girls' education. Women experience different working conditions: they work longer hours, are paid less or not at all, and hold lower-status jobs. The exceptions are found in the Philippines and Brazil, where women hold more professional jobs than men. Women carry multiple responsibilities that consume time and prevent greater involvement in public life. Dowry and brideprice can constrain family relations. Women generally have fewer inheritance rights. Few women hold high-level public office positions or parliamentary seats. The extent to which gender inequality is reflected in demographic processes depends upon the gap in power in education, employment, and income. The relationship between gender and demographic processes is a central topic currently being researched.     

Children and the Elderly: Wealth Inequality Among America’s Dependents

Life cycle theory predicts that elderly households have higher levels of wealth than households with children, but these wealth gaps are likely dynamic, responding to changes in labor market conditions, patterns of debt accumulation, and the overall economic context. Using Survey of Consumer Finances data from 1989 through 2013, we compare wealth levels between and within the two groups that make up America’s dependents: the elderly and child households (households with a resident child aged 18 or younger). Over the observed period, the absolute wealth gap between elderly and child households in the United States increased substantially, and diverging trends in wealth accumulation exacerbated preexisting between-group disparities. Widening gaps were particularly pronounced among the least-wealthy elderly and child households. Differential demographic change in marital status and racial composition by subgroup do not explain the widening gap. We also find increasing wealth inequality within child households and the rise of a “parental 1 %.” During a time of overall economic growth, the elderly have been able to maintain or increase their wealth, whereas many of the least-wealthy child households saw precipitous declines. Our findings suggest that many child households may lack sufficient assets to promote the successful flourishing of the next generation.     

Does regional variation affect ecological mortality research? An examination of mortality, income inequality and health infrastructure in the Mississippi Delta

Mortality research has often focused on individual-level, socioeconomic, and demographic factors indicating health outcomes. Consistent with a recent trend in the public health field, this research examines mortality at the aggregate, contextual level. Based on Wilkinson’s relative income hypothesis, specifically being manifest through an underinvestment in social goods including health infrastructure, the focus of this study is a regional examination in the effects of income inequality on mortality at the county level. Health infrastructure is included as a mediating variable in the relationship between income inequality and mortality, relating back to Wilkinson’s work. Unlike previous research, regional differences in this relationship are examined to identify variation at the county level in health outcomes. The Mississippi Delta is an adequate test bed to examine the relationship between these variables based on its socioeconomic, demographic, and high inequality characteristics. It is hypothesized that Delta-designated counties within the three-state Delta region distinguish a significant positive relationship between income inequality and mortality, that this relationship is stronger than in non-Delta classified counties, and that health infrastructure significantly mediates the relationship between income inequality and mortality.     

Cohabitation History,Marriage, and Wealth Accumulation

This study extends research on the relationship between wealth accumulation and union experiences, such as marriage and cohabitation. Using data from the National Longitudinal Survey of Youth 1979, we explore the wealth trajectories of married individuals in light of their premarital cohabitation histories. Over time, marriage positively correlates with wealth accumulation. Most married persons with a premarital cohabitation history have wealth trajectories that are indistinguishable from those without cohabitation experience, with one exception: individuals who marry their one and only cohabiting partner experience a wealth premium that is twice as large as that for married individuals who never cohabited prior to marrying. Results remain robust over time despite cohabiters’ selection out of marriage, yet vary by race/ethnicity. We conclude that relationship history may shape long-term wealth accumulation, and contrary to existing literature, individuals who marry their only cohabiting partners experience a beneficial marital outcome. It is therefore important to understand the diversity of cohabitation experiences among the married.     

Change of Housing Inequality in Urban China and Its Decomposition: 1989–2011

Housing inequality is a common phenomenon all over the world but also demonstrate discrepant tinctures across different countries. Using the data from the China Health and Nutrition Surveys, we depict a comprehensive, dynamic, and complex picture of housing inequality in urban China from 1989 to 2011, with household as the unit of analysis. Analytic results from calculation of housing Gini coefficients and delineation of housing Lorenz curves suggest that the trend of housing space inequality was steady with a somewhat increase, while that of housing wealth inequality has firstly decreased and then increased. Through further decomposition on the change of housing inequality with a pioneering use of MM decomposition method, we find that the change of the composition of household characteristics only could explain few about the change of housing inequality, while the classification mechanism formed by returns from household characteristics plays a key role in both the change of housing space inequality and that of housing wealth inequality.

     

Joint Income-Wealth Inequality: Evidence from Lucerne Tax Data

Social Indicators Research - Using tax data from the Swiss canton of Lucerne, we study how measures of economic inequality change if they account for income and wealth rather than income alone....