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1.
Demography ; 55(5): 1663-1680, 2018 10.
Article in English | MEDLINE | ID: mdl-30255427

ABSTRACT

Many studies have shown that women pay a wage penalty for motherhood, whereas men earn a wage premium for fatherhood. A few recent studies have used quantile regression to explore differences in the penalties across the wage distribution. The current study builds on this research and explores trends in the parenthood penalties and premiums from 1980 to 2014 for those at the bottom, middle, and top of the wage distribution. Analyses of data from the Current Population Survey show that the motherhood wage penalty decreased, whereas the fatherhood wage premium increased. Unconditional quantile regression models reveal that low-, middle-, and high-earning women paid similar motherhood wage penalties in the 1980s. The motherhood wage penalty began to decrease in the 1990s, but more so for high-earning women than for low-earning women. By the early 2010s, the motherhood wage penalty for high-earning women was eliminated, whereas low-earning women continued to pay a penalty. The fatherhood wage premium began to increase in the late 1990s, although again, more so for high-earning men than for low-earning men. By the early 2010s, high-earning men received a much larger fatherhood wage premium than low- or middle-earning men.


Subject(s)
Fathers/statistics & numerical data , Mothers/statistics & numerical data , Salaries and Fringe Benefits/statistics & numerical data , Adult , Female , Humans , Longitudinal Studies , Male , Salaries and Fringe Benefits/trends , Socioeconomic Factors
2.
J Rural Health ; 38(4): 696-704, 2022 09.
Article in English | MEDLINE | ID: mdl-35257439

ABSTRACT

PURPOSE: As the population ages, the number of people with cognitive impairment will rapidly increase. Although previous research has explored the rural-urban gap in physical health, few studies have analyzed cognitive health. The purpose of this study was to examine rural-urban differences in cognitive health, with a focus on the moderating effect of population decline. METHODS: The study used individual-level nationally representative data from the 2000-2016 waves of the Health and Retirement Study (N = 152,444) merged to county-level contextual characteristics. Hierarchical linear models were used to predict the cognitive functioning of US adults aged 50 and over by rural-urban residence, county depopulation, and their interactions while controlling for individual-level and county-level demographic and contextual factors. FINDINGS: Older adults living in rural counties had lower cognitive functioning than urban adults. The interaction between living in a rural and depopulated county was statistically significant (P < .001). The rural penalty in cognitive functioning was 40% larger for those who lived in counties that lost population between 1980 and 2010 compared to those who lived in stable or growing rural counties. These results were independent of race-ethnicity, gender, age, education, income, region, employment status, marital status, physical health, and depression as well as the county's racial-ethnic composition, age structure, economic and educational disadvantage, and health care shortages. CONCLUSIONS: The results have important implications for those seeking to reduce health disparities both between rural and urban older adults and among different groups of rural people. Interventions targeting those living in rural depopulating areas are particularly warranted.


Subject(s)
Cognitive Dysfunction , Rural Population , Aged , Animals , Cognition , Cognitive Dysfunction/epidemiology , Educational Status , Humans , Middle Aged , Urban Population
3.
Sociol Q ; 52(3): 472-94, 2011.
Article in English | MEDLINE | ID: mdl-22081800

ABSTRACT

The current study draws on national data to explore differences in access to flexible work scheduling by the gender composition of women's and men's occupations. Results show that those who work in integrated occupations are more likely to have access to flexible scheduling. Women and men do not take jobs with lower pay in return for greater access to flexibility. Instead, jobs with higher pay offer greater flexibility. Integrated occupations tend to offer the greatest access to flexible scheduling because of their structural locations. Part-time work is negatively associated with men's access to flexible scheduling but positively associated with women's access. Women have greater flexibility when they work for large establishments, whereas men have greater flexibility when they work for small establishments.


Subject(s)
Gender Identity , Occupations , Personnel Staffing and Scheduling , Workplace , History, 20th Century , History, 21st Century , Income/history , Men's Health/ethnology , Men's Health/history , Occupations/economics , Occupations/history , Occupations/legislation & jurisprudence , Personnel Staffing and Scheduling/economics , Personnel Staffing and Scheduling/history , Personnel Staffing and Scheduling/legislation & jurisprudence , Women's Health/ethnology , Women's Health/history , Workplace/economics , Workplace/history , Workplace/legislation & jurisprudence , Workplace/psychology
4.
Res Aging ; 39(8): 934-959, 2017 09.
Article in English | MEDLINE | ID: mdl-27193046

ABSTRACT

Spouses often serve as the primary caregivers to their ill or disabled partners. Studies have shown that men receive more care from their wives than vice versa, but few studies have focused on how the gender gap in care varies across the later life course. Drawing on data from the Health and Retirement Study, this study examined the moderating effects of age, gender, and full-time employment on married women's and men's receipt of spousal care. This study found that among community-dwelling married adults, the gender gap in care was larger among those in middle age (50-65) than it was among those in older age. As women and men aged, the gender gap decreased primarily because men left full-time work and increased the amount of time that they spent caring for their wives. As gender differences in full-time employment narrowed, the gender gap in spousal care narrowed.


Subject(s)
Caregivers , Home Care Services/statistics & numerical data , Spouses , Activities of Daily Living , Aged , Cross-Sectional Studies , Employment , Female , Humans , Male , Marriage , Middle Aged , Sex Factors
5.
Soc Sci Res ; 42(5): 1390-401, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23859738

ABSTRACT

Inequality between men and women has decreased over the past four decades in the US, but wage inequality among groups of women has increased. As metropolitan women's earnings grew by 25% over the past four decades, nonmetropolitan women's earnings only grew by 15%. In the current study we draw on data from the Current Population Survey to analyze the spatial wage gap among women. We explore differences in the spatial wage gap by education, occupation, and industry. Regression models that control for marriage, motherhood, race, education, region, age, and work hours indicate that metropolitan women earn 17% more per hour than nonmetropolitan women. Nonmetropolitan women earn less than metropolitan women who live in central cities and outside central cities. The gap in metropolitan-nonmetropolitan wages is higher for more educated women than for less educated women. The wage gap is only 5% for women without a high school degree, but it is 15% for women with a college degree and 26% for women with an advanced degree. Nonmetropolitan college graduates are overrepresented in lower-paying occupations and industries. Metropolitan college graduates, however, are overrepresented in higher-paying occupations and industries, such as professional services and finance.

6.
Article in English | MEDLINE | ID: mdl-19548555

ABSTRACT

Previous research provides evidence of a negative effect of body mass on women's economic outcomes. We extend this research by using a much older sample of individuals from the Panel Study of Income Dynamics and by using a body mass measure that is lagged by 15 years instead of the traditional 7 years. One of the main contributions of this paper is a replication of previous research findings given our differing samples and measures. We compare OLS estimates with sibling fixed effects estimates and find that obesity is associated with an 18% reduction in women's wages, a 25% reduction in women's family income, and a 16% reduction in women's probability of marriage. These effects are robust--they persist much longer than previously understood and they persist across the life course, affecting older women as well as younger women.


Subject(s)
Income , Obesity/economics , Obesity/epidemiology , Women, Working/statistics & numerical data , Adult , Body Mass Index , Female , Humans , Income/statistics & numerical data , Male , Middle Aged , Obesity/psychology , Prejudice , Regression Analysis , Sex Distribution , Siblings , Socioeconomic Factors , United States/epidemiology
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