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

Background and Objectives Reverse mortgages are loans that allow older homeowners to borrow from their home equity with no repayment due until the borrower dies or moves out of the home. We currently know very little about how homeowners evaluate and experience reverse mortgages as solutions to their financial and housing needs in later life. Furthermore, despite an increasingly diverse population of reverse mortgage borrowers, we know little about how social inequalities may contribute to reverse mortgage decisions and their outcomes. In this paper, we examine reverse mortgage decision-making and experiences in a racially and economically diverse sample of older US homeowners. Research Design and Methods We conducted 44 in-depth interviews with older homeowners who were considering or who had obtained a reverse mortgage loan. We inductively and iteratively developed a thematic coding scheme that was applied to all interview transcripts. Results Our analysis produced a dichotomous schema of reverse mortgage decision making that was shaped by social and economic opportunities and constraints. For some participants, reverse mortgages represented strategic tools used to maximize home equity and its benefits. For others, it was an option of last resort to which participants turned when faced with the imminent loss of their home. Discussion and Implications Focusing on reverse mortgages, our analysis suggests way that social inequalities may be reproduced through financial decisions and the unequal landscapes of opportunity in which they are made. [ABSTRACT FROM AUTHOR]

Stratification and inequality are among the most central concepts in sociology, and although related, they are fundamentally distinct: inequality refers to the extent to which resources are distributed unevenly across individuals or between population subgroups, whereas stratification refers to the extent to which population subgroups occupy distinct hierarchical layers within an overall resource distribution. Despite the centrality of stratification in theories of class structure, prior empirical studies have focused exclusively on measures of inequality, which do not accurately capture the degree of class stratification and suffer from a variety of methodological limitations. In this paper, we employ a novel rank-based index of stratification to measure the degree to which occupational classes inhabit distinct, non-overlapping, and hierarchically arranged layers in the distribution of personal market income. The stratification index is nonparametric, both scale and translation invariant, and independent of the level of inequality. Based on this index, our results show that the US income distribution is highly stratified by occupational class and that the degree of class stratification increased substantially from 1980 to 2016. Moreover, we find that this trend is almost entirely due to growing stratification among aggregate occupational classes rather than among the disaggregate occupations nested within them. Finally, a set of counterfactual analyses indicate that the rise of occupational class stratification is driven by increases in the income returns to education, deunionization, and deindustrialization, although the relative importance of these factors varies by gender. [ABSTRACT FROM AUTHOR]

This paper examines what is known about error in the U.S. Consumer Expenditure Survey (CE). It reviews likely sources of error in consumer expenditure surveys and describes the various approaches that have been used to evaluate estimates from the CE in the United States and from similar surveys around the world. In the United States, many efforts to assess the quality of the CE have compared CE estimates to estimates from other surveys or from the National Income and Product Accounts (NIPA). In addition, other studies have used data internal to the CE in an attempt to assess the level of error. We review studies that take each of these approaches and assess their strengths and weaknesses. Our review shows that, as with other national and international surveys on household spending, the direction and magnitude of measurement errors in the CE are not well understood. The general impression that the CE expenditure estimates are dominated by underreporting is based largely on comparisons of the CE with NIPA estimates. However, other results suggest that the magnitude and direction of errors in the CE depend on the expenditure category examined, characteristics of the respondent and the survey protocol, and the method used to assess these errors. New research clearly is needed to understand the sources of error in surveys collecting consumer expenditure data. [ABSTRACT FROM AUTHOR]

Skin color has been proposed to contribute to race-based health disparities in the United States because of differences in ultraviolet (UV) light–induced vitamin D synthesis. The prediction of this hypothesis, herein named the UVD hypothesis, is that racial disparities in health outcomes are correlated with UV light availability. This paper investigates whether UV light availability is associated with disparities in the rates of low birth weight (LBW) and preterm birth (PTB) between whites and blacks, because these outcomes are thought to be influenced by vitamin D status and to shape disease risk in later life. Data on LBW and PTB from 2007 (n = 2,825,620 births) were compared with data on UV light exposure across the United States. Contrary to the predictions of the UVD hypothesis, LBW and PTB rate disparities were greatest in states with the highest UV light exposure. Notably, income inequality was positively and significantly related to LBW and PTB disparities, even after controlling for UV light availability. The results of this analysis demonstrate that there is a significant environmental gradient in racial disparities in birth outcomes in the United States, but other social or environmental factors associated with living in the southern United States are likely stronger contributors to disparities in birth outcomes than UV light–induced vitamin D status. [ABSTRACT FROM PUBLISHER]