Impacts of Financial Assistance on Quality of Life Among People Living With Burn Injury: Matched Cohort Analysis of the National Institute on Disability, Independent Living and Rehabilitation Research Burn Model System Database

Disparities in socioeconomic status and minority status affect the risk of burn injury and the severity of that injury, thus affecting the subsequent cost of care. We aimed to characterize the demographic details surrounding receipt of financial assistance due to burn injury and its relationship with health-related quality of life scores. Participants ≥18 from Burn Model System National Longitudinal Database (BMS) with complete demographic data were included (n = 4330). Nonresponders to financial assistance questions were analyzed separately. The remaining sample (n = 1255) was divided into participants who received financial assistance because of burn injury, those who received no financial assistance, and those who received financial assistance before injury and as a result of injury. A demographic and injury-characteristic comparison was conducted. Health-related quality of life metrics (Satisfaction with Life, Short Form-12/Veterans RAND 12-Item Health Survey, Community Integration Questionnaire Social Component, and the Post-Traumatic Growth Inventory) were analyzed preinjury, then 6-months, 1-year, and 2-years postinjury. A matched cohort analysis compared these scores. When compared to their no financial assistance counterparts, participants receiving financial assistance due to burns were more likely to be minorities (19% vs 14%), have more severe injuries (%TBSA burn 21% vs 10%), and receive workers' compensation (24% vs 9%). They also had lower health-related quality of life scores on all metrics except the post-traumatic growth inventory. Financial assistance may aid in combating disparities in posttraumatic growth scores for participants at the greatest risk of financial toxicity but does not improve other health-related quality of life metrics.

Mine, yours, ours, or no one's? Homeownership arrangements among cohabiting and married couples

Multiple studies examine how couples organize their economic resources, but most focus on wages, with little attention to assets. This paper helps to fill this research gap in Québec (Canada) by asking what proportion of married and cohabiting different-sex couples of working age jointly own their primary residence, instead of remaining in more independent arrangements regarding this asset-either through individual ownership of the home by the man or the woman or by not owning one at all. Also, drawing on transaction cost and institutional approaches to economic organization, we explore variation on several relationship characteristics. Individual ownership is uncommon, especially by the woman, but it is more prevalent among couples with little time together and who do not have children. Individual ownership is also more common among income-unequal couples than equal ones, because, we argue, it allows primary earners to cover housing costs without transferring wealth. Those results advance knowledge on both within-household wealth inequality and conjugal redistributive practices.

Wealth in Couples: Introduction to the Special Issue

The assumption that economic resources are equally shared within households has been found to be untenable for income but is still often upheld for wealth. In this introduction to the special issue “Wealth in Couples”, we argue that within-household inequality in wealth is a pertinent and under-researched area that is ripe for development. To this end, we outline the relevance of wealth for demographic research, making the distinction between individual and household wealth. Drawing on a life-course perspective, we discuss individual wealth accumulation within couples and its links to family-demographic processes, the institutional context, and norms on pooling and sharing. We conclude with a brief summary of the main findings from the special issue and highlight implications for demographic research and for future research in this field.

The gender wealth gap in the United States: Trends and explanations

It is difficult to study the gender wealth gap because wealth is usually measured at the household level, and men and women often live in the same household. I use person-level measures of wealth, attributing to each person the assets and debts owned in their name, to study the gender wealth gap in the United States among working age people. Using the Survey of Income and Program Participation, I find that the existence of the gender wealth gap is primarily explained by the gender income gap. However, although the gender income gap has narrowed, the gender wealth gap has widened from the mid-1990s to the mid-2010s. This widening occurred across the wealth distribution and among almost every subgroup by marital status, education, race, and age. This widening of the gender wealth gap cannot be explained by changes in socioeconomic characteristics but is consistent with the trend of increasing wealth inequality.

Pension Wealth and the Gender Wealth Gap

We examine the gender wealth gap with a focus on pension wealth and statutory pension rights. By taking into account employment characteristics of women and men, we are able to identify the extent to which the redistributive effect of pension rights reduces the gender wealth gap. The data for our analysis come from the German Socio-Economic Panel (SOEP), one of the few surveys that collects information on wealth and pension entitlements at the individual level. Pension wealth data are available in the SOEP for 2012 only. While the relative raw gender wealth gap is about 35% (or 31,000 euros) when analysing the standard measure of net worth, it shrinks to 28% when pension wealth is added. This reduction is due to redistributive elements such as caregiver credits provided through the statutory pension scheme. Results of a recentred influence functions (RIF) decomposition show that pension wealth reduces the gap substantially in the lower half of the distribution. At the 90th percentile, the gender wealth gap in net worth and in augmented wealth remains more stable at roughly 27–30%.

Intra-Couple Wealth Inequality: What’s Socio-Demographics Got to Do with it?

Existing literature shows that on average and across countries, men have higher levels of wealth than women. However, very little is known about the gender-specific wealth gap within couples. This paper studies this phenomenon for the first time in Austria. The particular focus of the paper is on the relationship between the socio-demographic characteristics of the couple and the couple’s gender wealth gap. We focus on how age, education, marital status, fertility, migratory background, and the gender of the respondent are related to the wealth gap within a couple. In both bivariate and multivariate analyses, we find evidence in support of the hypothesis that bargaining power plays an important role in the intra-couple gender wealth gap in Austria. Immigrant women living in a couple with native men, and, among natives, couples in which the man is much older on average, have larger gender wealth gaps. Furthermore, couples in which the woman is the “financially most knowledgeable person” in the household have consistently lower gender wealth gaps.

Heterogeneity in Family Life Course Patterns and Intra-Cohort Wealth Disparities in Late Working Age

Considering soaring wealth inequalities in older age, this research addresses the relationship between family life courses and widening wealth differences between individuals as they age. We holistically examine how childbearing and marital histories are associated with personal wealth at ages 50–59 for Western Germans born between 1943 and 1967. We propose that deviations from culturally and institutionally-supported family patterns, or the stratified access to them, associate with differential wealth accumulation over time and can explain wealth inequalities at older ages. Using longitudinal data from the German Socio-Economic Panel Study (SOEP, v34, waves 2002–2017), we first identified typical family trajectory patterns between ages 16 and 50 with multichannel sequence analysis and cluster analysis. We then modelled personal wealth ranks at ages 50–59 as a function of family patterns. Results showed that deviations from the standard family pattern (i.e. stable marriage with, on average, two children) were mostly associated with lower wealth ranks at older age, controlling for childhood characteristics that partly predict selection into family patterns and baseline wealth. We found higher wealth penalties for greater deviation and lower penalties for moderate deviation from the standard family pattern. Addressing entire family trajectories, our research extended and nuanced our knowledge of the role of earlier family behaviour for later economic wellbeing. By using personal-level rather than household-level wealth data, we were able to identify substantial gender differences in the study associations. Our research also recognised the importance of combining marital and childbearing histories to assess wealth inequalities.

Are Married Women Really Wealthier Than Unmarried Women? Evidence From Japan

Using microdata from the Japanese Panel Survey of Consumers, this article examines the relationship between marriage and wealth among women. By exploiting unique data on personal wealth, it also assesses whether the wealth effect of marriage differs depending on whether wealth is measured as household or personal wealth, an issue that very few studies have examined. When wealth is measured as equivalized household net worth, on the assumption that married couples share household resources equally, marriage is found to contribute to women's wealth holdings but only to their nonfinancial net worth; however, the results show signs that marriage also contributes to women's total net worth as marriage durations increase. By contrast, when wealth is measured as personal net worth based on the actual ownership of assets, marriage is found to be negatively and significantly associated with women's wealth holdings. These findings underscore the fact that Japanese women are potentially in a financially vulnerable position even after marriage, which is at least partly driven by married women's career disruptions arising from their family responsibilities.

The Gender Pay Gap: Income Inequality Over Life Course - A Multilevel Analysis

The gender pay gap has been observed for decades, and still exists. Due to a life course perspective, gender differences in income are analyzed over a period of 24 years. Therefore, this study aims to investigate income trajectories and the differences regarding men and women. Moreover, the study examines how human capital determinants, occupational positions and factors that accumulate disadvantages over time contribute to the explanation of the GPG in Germany. Therefore, this study aims to contribute to a better understanding of the GPG over the life course. The data are based on the German cohort study lidA (living at work), which links survey data individually with employment register data. Based on social security data, the income of men and women over time are analyzed using a multilevel analysis. The results show that the GPG exists in Germany over the life course: men have a higher daily average income per year than women. In addition, the income developments of men rise more sharply than those of women over time. Moreover, even after controlling for factors potentially explaining the GPG like education, work experience, occupational status or unemployment episodes the GPG persists. Concluding, further research is required that covers additional factors like individual behavior or information about the labor market structure for a better understanding of the GPG.

Gendered employment trajectories and individual wealth at older ages in Eastern and Western Germany

This study examines the association between employment trajectories and retired men's and women's individual wealth at older ages in the two distinct welfare state contexts of Eastern and Western Germany. Because of the increasing re-marketization of retirement provisions, wealth is becoming increasingly important for retirees' economic well-being. Using data from the German Socio-Economic Panel Study (2002, 2007, 2012 and 2017), we conduct sequence and cluster analyses to identify groups of typical employment trajectories of men and women in Eastern and Western Germany. For men, we find that continuous full-time employment is positively associated with net wealth at older ages, whereas early retirement and long-term unemployment are negatively associated with wealth. These associations are similar for housing and non-housing wealth in both contexts. For women in Western Germany, a low labour market participation is associated with higher levels of housing wealth and lower levels of non-housing wealth compared with female full-time employees. The results point to gendered wealth accumulation due to differences in men's and women's labour market participation in gender-unequal welfare state contexts. The associations between employment and wealth are slightly weaker in Eastern Germany, indicating that the socialist regime of the GDR restricted the ability to accumulate wealth.

Age and gender differences in financial distress among hematopoietic cell transplant survivors

PURPOSE

Cancer has long-term financial consequences. Adolescent and young adult (AYA) and middle-aged cancer survivors may experience more financial toxicity than older adults. This study examined age differences in financial distress in hematopoietic cell transplant survivors and whether these differences result from measurement bias, more financial barriers to care, or an overall higher level of distress.

METHODS

Hematologic malignancy survivors (n = 1135, 2-10 years post-transplant) completed the Cancer and Treatment Distress Scale (CTXD) and demographics as part of the baseline assessment for a randomized clinical trial. The CTXD has seven subscales, but for this study, we examined the financial distress subscale and the overall score. Item response theory analyses tested for bias by age and gender. Multivariate linear regression tested the association of age and gender with the CTXD scores while controlling for financial barriers to care.

RESULTS

No bias was found on the CTXD. AYA (p < 0.01) and middle-aged adults (p < 0.001) reported more financial and overall distress than older (age 65+) adults. The same association of age and financial distress was observed in women (p < 0.01). However, only middle-aged men (p < 0.01) reported more financial and overall distress than older men; AYA men did not (p > 0.18). Financial barriers to care were not associated with financial or overall distress.

CONCLUSIONS

Part of the increase in financial distress with younger age may be due to a higher risk of general distress. Policy initiatives to control cancer costs should consider life stage and the unique financial challenges at different ages for men and women.

Fewer Siblings, More Wealth? Sibship Size and Wealth Attainment

This study examines the association between sibship size and wealth in adulthood. The study draws on resource dilution theory and additionally discusses potentially wealth-enhancing consequences of having siblings. Data from the German Socio-Economic Panel Study (SOEP, N = 3502 individuals) are used to estimate multilevel regression models adjusted for concurrent parental wealth and other important confounders neglected in extant work. The main results of the current study show that additional siblings reduce wealth by about 38%. Parental wealth moderates the association so that sibship size is more negatively associated with filial wealth when parents are wealthier. Birth order position does not moderate the association between sibship size and wealth. The findings suggest that fertility in the family of origin has a systematic impact on wealth attainment and may contribute to population-level wealth inequalities independently from other socio-economic characteristics in families of origin such as parental wealth.

Decomposing international gender test score differences

In this paper, we decompose worldwide PISA mathematics and reading scores. While mathematics scores are still tilted towards boys, girls have a larger advantage in reading over boys. Girls' disadvantage in mathematics is increasing over the distribution of talents. Our decomposition shows that part of this increase can be explained by an increasing trend in productive endowments and learning productivity, although the largest part remains unexplained. Countries' general level of gender (in)equality also contributes to girls' disadvantage. For reading, at the upper end of the talent distribution, girls' advantage can be fully explained by differences in learning productivity, but this is not so at lower levels.

WEALTH INEQUALITY AND ACCUMULATION

Research on wealth inequality and accumulation and the data upon which it relies have expanded substantially in the twenty-first century. While the field has experienced rapid growth, conceptual and methodological challenges remain. We begin by discussing two major unresolved methodological concerns facing wealth research: how to address challenges to causal inference posed by wealth's cumulative nature and how to operationalize net worth, given its highly skewed nature. To underscore the need for continued empirical attention to net worth, we review trends in wealth levels and inequality and evaluate wealth's distinctiveness as an indicator of social stratification. Next, we provide an overview of data sources available for wealth research. We then review recent empirical evidence on the effects of wealth on other social outcomes, as well as research on the determinants of wealth. We close with a list of promising avenues for future research on wealth, its causes, and its consequences.

The Marriage Wealth Premium Revisited: Gender Disparities and Within-Individual Changes in Personal Wealth in Germany

This study examines the association between marriage and economic wealth of women and men. Going beyond previous research that focused on household wealth, I examine personal wealth, which allows identifying gender disparities in the association between marriage and wealth. Using unique data from the German Socio-Economic Panel Study (2002, 2007, and 2012), I apply random-effects and fixed-effects regression models to test my expectations. I find that both women and men experience substantial marriage wealth premiums not only in household wealth but also in personal wealth. However, I do not find consistent evidence for gender disparities in these general marriage premiums. Additional analyses indicate, however, that women's marriage premiums are substantially lower than men's premiums in older cohorts and when only nonhousing wealth is considered. Overall, this study provides new evidence that women and men gain unequally in their wealth attainment through marriage.

Explaining the gender wealth gap

To assess and explain the United States' gender wealth gap, we use the Wisconsin Longitudinal Study to examine wealth accumulated by a single cohort over 50 years by gender, by marital status, and limited to the respondents who are their family's best financial reporters. We find large gender wealth gaps between currently married men and women, and between never-married men and women. The never-married accumulate less wealth than the currently married, and there is a marital disruption cost to wealth accumulation. The status-attainment model shows the most power in explaining gender wealth gaps between these groups explaining about one-third to one-half of the gap, followed by the human-capital explanation. In other words, a lifetime of lower earnings for women translates into greatly reduced wealth accumulation. After controlling for the full model, we find that a gender wealth gap remains between married men and women that we speculate may be related to gender differences in investment strategies and selection effects.