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PubMed1986

Unobservable family and individual contributions to the distributions of income and wealth.

"This paper uses combinations of full brothers, half brothers, and fathers and sons to measure the effect of common family background on a household's income and wealth. While the data are drawn from a nineteenth-century [U.S.] population, the intraclass correlation for income ranges from .13 to .18, which is similar to that found in modern samples. Intraclass correlations for wealth are significantly higher (.18-.35) than are those for income. Intraclass correlations of half brothers compared to those for full brothers suggest that fathers play a dominant role in the transmission of the common family effect. When unobserved background is decomposed into individual and family effects, the individual effect dominates the family effect for income, while the family effect dominates the individual effect for wealth." A comment by Sherwin Rosen is included (pp. 80-2).

Americas↗
PubMed1995

The distribution of OASDI taxes and benefits by income decile.

On average, persons receiving Social Security benefits tend to have lower current incomes than do persons paying Social Security taxes. This article documents OASDI's income distributional patterns by dividing the 1992 Current Population Survey population into 10 income deciles and tabulating benefits received and taxes paid by each decile. The benefits and taxes, when compared with non-Social Security income, are progressive: as income rises from decile to decile, the ratio of benefits to income falls, and, except at the highest deciles, the ratio of taxes to income rises. A large component of the current income distributional pattern is associated with age: the young on average receive more income and pay more taxes; the old on average receive more benefits. However, when benefits and taxes are tabulated for income deciles within specific age groups, a general progressivity is still observable, although it is weaker than that for the population as a whole.

Adolescent↗
PubMed1987

Changes in the distribution of American family incomes, 1947 to 1984.

The American family income distribution now lies at the center of several controversies. Some observers argue that the American middle class is vanishing, but U.S. census income statistics show income inequality has not changed appreciably since 1947. A second controversy involves whether average living standards have risen or fallen since the major oil price increase of 1973-74. These controversies can be partially resolved by understanding the sharp slowdown in the growth of workers' wages which occurred after 1973 and the demographic trends which kept per capita living standards rising despite stagnant wages, including more working women and low birthrates.

Adult↗
PubMed1994

Equity and the big city.

The author attempts to answer two questions: "how does the spatial distribution of population change during the process of development, and how do these changes relate to changes in the size distribution and regional distribution of income. The causal connection between population and income distribution is examined through a simulation model. The theoretical implications of the model's results are empirically examined at several spatial levels: at the national level, with longitudinal data from ten Asian and Latin American nations, and at the regional and subregional levels, with data from Japan, Brazil, and the Philippines. Finally, a multistage model of polarization reversal (with interconnected regional inequality changes) is proposed."

Asia↗
PubMed1992

The effects of migration and remittances on inequality in rural Pakistan.

The author presents "a framework for analysing the impact of internal and international remittances on rural income distribution. This framework uses predicted income equations to predict (estimate) the incomes of households in two situations: excluding and including remittances. The results are then used to evaluate the changes in income distribution that occur when internal and international remittances are excluded, compared to when they are included.... Data come from a three-year study (1986-87 to 1988-89) of 727 households in three provinces in rural Pakistan." A comment by Zafar Mahmood is included (pp. 1,204-6).

Asia↗
PubMed1997

The relationship of income inequality to mortality: does the choice of indicator matter?

Ecologic studies in the U.S. and elsewhere in the world have demonstrated that income inequality is strongly related to mortality and life expectancy: the greater the dispersion of income within a given society, the lower the life expectancy. However, these empirical studies have been criticized on the grounds that the choice of indicator may have influenced positive findings. Using a cross-sectional, ecologic design, we tested the relationships of six different income inequality indicators to total mortality rates in the 50 U.S. states. The following summary measures of income distribution were examined: the Gini coefficient; the decile ratio; the proportions of total income earned by the bottom 50%, 60%, and 70% of households; the Robin Hood Index; the Atkinson Index; and Theil's entropy measure. All were highly correlated with each other (Pearson r > or = 0.94), and all were strongly associated with mortality (Pearson r ranging from 0.50 to 0.66), even after adjustment for median income and poverty. Thus, the choice of income distribution measure does not appear to alter the conclusion that income inequality is linked to higher mortality. Furthermore, adjustment for taxes and transfers, as well as household size (using equivalence scales), made no difference to the income inequality/mortality association. From a policy perspective, the alternative income distribution measures perform differently under varying types of income transfers, so that theoretical considerations should guide the selection of an indicator to assess the impact of social and economic policies that address income inequality.

Cross-Sectional Studies↗
PubMed2001

The effects of income inequality and income level on mortality vary by population size in Texas counties.

OBJECTIVES: This study uses the counties of Texas to empirically test the predictions of Wilkinson's theory on the role of income and inequality in explaining health differentials in populations. Wilkinson predicts (1) that health is affected more by income inequality than average income in areas with large population, and (2) that health is affected more by average income than income inequality in areas with small population. We investigate how large the population of a unit must be for income inequality within the unit to affect mortality. METHODS: Measures of income inequality were computed from the 1990 U.S. census data and mortality was computed from Vital Statistics data. Poisson regressions estimated the age-adjusted relative risk of the top quintile relative to the bottom quintile for equality and for income among selections of Texas counties based on population size. County ethnic composition, educational level, and health care access were controlled for. RESULTS: Among counties with populations greater than 150,000, the risk of death was lower in counties with more equal income distribution than in counties with less equal income distribution. Among counties with population less than 150,000, median income affected relative risk in counties with less than 30 percent Hispanics, but not in those with more than 30 percent Hispanics. CONCLUSIONS: This study provides some support for the predictions of Wilkinson's theory.

Censuses↗
PubMed1993

Proposals to modify the taxation of Social Security benefits: options and distributional effects.

This article presents simulation estimates of the income-distributional effects in 1994 of several proposals to modify the taxation of Social Security benefits under the Federal personal income tax. Under the benefit-taxation provisions that have been in effect since 1984, up to 50 percent of benefits are included in taxable income for taxpayers with incomes above certain thresholds. In 1994 about 20 percent of beneficiary families will pay a larger income tax as a result of these provisions. Because of the benefit taxation thresholds, the affected families are concentrated in the upper half of the income distribution: about 70 percent of these families have incomes that put them in the top 30 percent of families by income. If the current taxation thresholds were kept and the percentage of benefits includable in taxable income were raised above 50 percent, the tax effect would remain concentrated on the upper income families. If, on the other hand, the percentage includable were kept at 50 percent while the taxation thresholds were lowered or eliminated, more beneficiary families with incomes in the middle deciles would become affected. The lowest income beneficiary families, however, would remain unaffected, because their benefits would be protected from income taxation by exemptions and the standard deduction. The simulations indicate that only a very few families in the bottom 20 percent of families by income would be affected even if the benefit taxation thresholds were eliminated entirely.

Insurance Benefits↗
PubMed1995

[International migration and income redistribution: a trade-theoretic analysis].

"We analyze the income-redistribution effects of international migration in the host and source country in a general equilibrium framework. The well-known result that marginal migration leaves the welfare of nonmigrants unaffected is discussed in more detail with regard to shifts in national income distributions. With endogenous goods' prices the consequences for the income distribution are in general ambiguous--we show possibilities for an estimation of their magnitude. As long as wage disparities determine the direction of migration it increases world efficiency. However, redistributive policies may generate migration towards the low-wage country." (SUMMARY IN ENG)

Demography↗
PubMed2000

Health and rapid economic change in the late twentieth century.

Rapidly expanding economies, such as the post-war Tiger Economies, are associated with increasing health and rapidly contracting economies, such as Central and Eastern Europe in the early 1990s, are associated with declining health. In Central and Eastern Europe health decline in association with economic contraction has been mediated by changes in income distribution and, also, by health-determining aspects of civil society. The nations of Central and Eastern Europe are an example of swift economic and political transformation occurring concurrently with economic decline; with increasing disparity in income distributions; and with high levels of distrust in civil institutions. Concurrent with these declines was a marked reduction in health status, described here in terms of life expectancy. Conversely, the nations of Southeast Asia experienced rapid economic growth and increasing life expectancies. Though data are scarce, the experience of the Tiger Economies appears to be one of economic growth; a virtuous cycle of increased investment in education and housing; and increasing parity in income distribution based upon a relatively equitable distribution of returns on education.

Cross-Cultural Comparison↗
PubMed2002

Income inequality and self rated health in Britain.

STUDY OBJECTIVE: Several studies have reported an association between income inequality and increased mortality, but few have used net income data, controlled for individual income, or evaluated sensitivity to the choice of inequality measure. The study tested the hypotheses that people in regions of Britain with the greatest income inequality would report worse health than those in other regions, after adjusting for individual socioeconomic circumstances. DESIGN: Cross sectional survey. SETTING: England, Wales, and Scotland. PARTICIPANTS: 8366 people living in private households. MAIN RESULTS: Regional income inequality, measured using the Gini index, was associated with worse self rated health, especially among those with the lowest incomes (adjusted OR 1.55, 95% CI 1.24 to 1.92) (p<0.001). This association was not robust to the choice of income inequality measure, being maximal for the Gini coefficient and weakest when using indices that are more sensitive to income differences among those at the top or bottom of the income distribution. CONCLUSIONS: The study found limited evidence of an association between income inequality and worse self rated health in Britain, which was greatest among those with the lowest individual income levels. As regions with the highest income inequality were also the most urban, these findings may be attributable to characteristics of cities rather than income inequality. The variation in this association with the choice of income inequality measure also highlights the difficulty of studying income distributions using summary measures of income inequality.

Cross-Sectional Studies↗
PubMedDate not supplied

[Income inequality and health: the case of Rio de Janeiro].

This ecological analysis addresses the association between income inequality and health status in the municipality of Rio de Janeiro. Data were analyzed using geo-processing and multiple regression techniques. The following health indicators were used: infant mortality rate; standardized mortality rate; life expectancy at birth; and homicide rate among 15-29-year-old males. Patterns of income inequality were assessed through income distribution indicators: Gini index, Robin Hood index, and top 10 %/bottom 40% average income ratio. The results indicate significant correlations between income distribution indicators and health indicators, providing additional empirical evidence of the association between health status and income inequality. For the homicide rate, the effect of the indicator "density of slum residents" was also relevant, suggesting that further deterioration in health standards may be due to social disruption of deprived communities and the resultant increase in criminal activity. The geo-epidemiological analysis presented here highlights the association between adverse health outcomes and residential concentration of poverty. Social policies focused on slum residents are needed to reduce the harmful effects of relative deprivation.

Adolescent↗
PubMed1983

Measuring the costs of children: an alternative approach.

Problems related to the concept of the "cost of a child", more commonly known as the general equivalence scale, are reviewed. The importance of this concept is noted with regard to both theoretical and empirical studies relating to taxation, poverty, income distribution, dietary needs, income maintenance programs, supplementary and child benefits, and other social security payments. "This paper proposes a new methodology for calculating the scale using a framework which is consistent with utility theory and which overcomes the identification problem without having to enforce the arbitrary prior assumptions of recent studies. The proposed method allows easy calculation of not only the basic 'scale' parameter but also how it varies with price and reference utility. [The author illustrates] the usefulness of the procedure by estimating on U.K. budget data at two different levels of aggregation and employing two sets of quite different functional forms. The results are plausible, compare favourably with one another and, hence, confirm the robustness and usefulness of the proposed procedure."

Adolescent↗
PubMed2000

State income inequality, household income, and maternal mental and physical health: cross sectional national survey.

OBJECTIVE: To examine the association of state income inequality and individual household income with the mental and physical health of women with young children. DESIGN: Cross sectional study. Individual level data (outcomes, income, and other sociodemographic covariates) from a 1991 follow up survey of a birth cohort established in 1988. State level income inequality calculated from the income distribution of each state from 1990 US census. SETTING: United States, 1991. PARTICIPANTS: Nationally representative stratified random sample of 8060 women who gave birth in 1988 and were successfully contacted (89%) in 1991. MAIN OUTCOME MEASURES: Depressive symptoms (Center for Epidemiologic Studies depression score >15) and self rated health RESULTS: 19% of women reported depressive symptoms, and 7.5% reported fair or poor health. Compared with women in the highest fifth of distribution of household income, women in the lowest fifth were more likely to report depressive symptoms (33% v 9%, P<0.001) and fair or poor health (15% v 2%, P<0. 001). Compared with low income women in states with low income inequality, low income women in states with high income inequality had a higher risk of depressive symptoms (odds ratio 1.6, 95% confidence interval 1.0 to 2.6) and fair or poor health (1.8, 0.9 to 3.5). CONCLUSIONS: High income inequality confers an increased risk of poor mental and physical health, particularly among the poorest women. Both income inequality and household income are important for health in this population.

Adolescent↗
PubMed1996

Socioeconomic status and weight control practices among 20- to 45-year-old women.

OBJECTIVES: This study examined the relationship between socioeconomic status (SES) and weight control practices in women. METHODS: SES, defined by family income, was examined in an economically diverse sample of 998 women in relation to dieting practices by means of multivariate regression analyses controlling for age, ethnicity, smoking, and body mass index. RESULTS: SES was positively associated with healthy, but not unhealthy, weight control practices; inversely related to energy and fat intake; and positively associated with weight concern and perceived social support for healthy eating and exercise. SES gradients were particularly striking at the low end of the income distribution (i.e., family income < or = $10,000 per year). The SES gradient in body mass index persisted in analyses controlling for attitudes and behaviors. CONCLUSIONS: Economic deprivation may contribute to high rates of obesity among lower SES women. The reasons for this require further research.

Adult↗
PubMed1999

[Social class index in the Federal Health Survey].

Since the first scaling of social status for the German National Health Interview and Examination Survey, relevant socio-economical circumstances and constraints have changed. This prompted an examination of relevant developments such as changes in income distribution and increasing income in the West and since 1990 in the East of Germany, changes in educational levels, and changes in social prestige of professional groups. In spite of these changes we must assume that the relations between social strata remained constant over time. The task is to assess how and to what extend the developments mentioned above have been reflected and to examine the necessity of bringing social status scaling in line with these developments, as well as to adjust social status scaling.

Adolescent↗