For the past few decades, Americans have been getting married later in life and are becoming more likely forego marriage altogether. Between 1970 and 2000, the median age of first marriage in the U.S. rose by about four years, and the percentage of people who decide not to marry at all increased from 5 percent to 10 percent.
"What is perhaps most striking is the increasing stratification in marriage by race and education," Schneider said. "From 1980 to 2000, the percentage of white women who had been married by ages 25 to 29 had dropped by 13 percentage points to 68 percent, but the drop was far larger for blacks, dropping 25 points, to just 38 percent." A similar gap has opened for people of different education levels. People with less education have become increasingly less likely to get married.
"These gaps matter because a large body of social science literature suggests that marriage has beneficial effects on adults and children," Schneider said. "If those who are already disadvantaged are now marrying less and so missing out on these beneficial properties of marriage, that could cement cycles of disadvantage and intergenerational inequality."
What is behind these growing gaps has not been fully explained. Several studies have found that having a steady job and a good income are important factors in determining whether someone gets married. Because blacks and those with less education face disadvantages in the labor market, they might tend hold off marriage longer, thereby increasing gaps in marriage rates. But income only explains a part of these gaps, Schneider says.
He wanted to see if accumulated wealth—whether or not someone owns a car, has money in a savings account, or owns financial assets like stocks and bonds—might be playing a role along with income. If wealth matters marriage decisions, then existing inequalities in wealth between blacks and whites could be driving the gaps in marriage rates.
Using data from the National Longitudinal Survey of Youth (1979), Schneider tested whether owning such assets increased the probability that a person entered a first marriage in a given year. After controlling for confounding factors such as income, employment, and family background, the analysis showed that owning a car increases the probability that a man will get married in a given year by 2.6 percentage points. Owning a financial asset increases the probability by 1.5 percentage points. Wealth also increases the likelihood that a woman would marry, though to a lesser degree than for men.
The results show that the wealth gap between blacks and whites in the U.S. is contributing to the growing marriage gap even more so than differences in income. According to Schneider's analysis, about 30 percent of the racial marriage gap can be explained by wealth, while income, employment, and public benefits receipt explains about 20 percent. The wealth effect also explains more than half of the gap in marriage rates between those with people who did not finish high school and those with college degrees.
"In all, I find evidence to support the argument that wealth is an important prerequisite of marriage, especially for men," Schneider writes. "What people own, not just what they earn or know, shapes entrance into marriage and so may perpetuate disadvantage across generations."
The findings make a strong argument in favor of social programs designed to help people build their assets, Schneider argues. "Contrary to concerns that such programs are unlikely to make a meaningful difference in the lives of the poor because these individuals are unlikely to accumulate significant savings, I argue that even small amounts of wealth may help disadvantaged men and women meet the economic standard of marriage."
Daniel Schneider, "Wealth and the Marital Divide." American Journal of Sociology 117:2. (study published October 4, 2011).
Established in 1895 as the first U.S. scholarly journal in its field, the American Journal of Sociology remains a leading voice for analysis and research in the social sciences.
Kevin Stacey | EurekAlert!
New study shows nanoscale pendulum coupling
05.07.2019 | University of Barcelona
New unprinting method can help recycle paper and curb environmental costs
26.06.2019 | Rutgers University
Augsburg chemists and physicists report how they have succeeded in the extremely difficult separation of hydrogen and deuterium in a gas mixture.
Thanks to the Surface Acoustic Wave (SAW) technology developed here and already widely used, the University of Augsburg is internationally recognized as the...
Adjusting the thermal conductivity of materials is one of the challenges nanoscience is currently facing. Together with colleagues from the Netherlands and Spain, researchers from the University of Basel have shown that the atomic vibrations that determine heat generation in nanowires can be controlled through the arrangement of atoms alone. The scientists will publish the results shortly in the journal Nano Letters.
In the electronics and computer industry, components are becoming ever smaller and more powerful. However, there are problems with the heat generation. It is...
Scientists have visualised the electronic structure in a microelectronic device for the first time, opening up opportunities for finely-tuned high performance electronic devices.
Physicists from the University of Warwick and the University of Washington have developed a technique to measure the energy and momentum of electrons in...
Scientists at the University Würzburg and University Hospital of Würzburg found that megakaryocytes act as “bouncers” and thus modulate bone marrow niche properties and cell migration dynamics. The study was published in July in the Journal “Haematologica”.
Hematopoiesis is the process of forming blood cells, which occurs predominantly in the bone marrow. The bone marrow produces all types of blood cells: red...
For some phenomena in quantum many-body physics several competing theories exist. But which of them describes a quantum phenomenon best? A team of researchers from the Technical University of Munich (TUM) and Harvard University in the United States has now successfully deployed artificial neural networks for image analysis of quantum systems.
Is that a dog or a cat? Such a classification is a prime example of machine learning: artificial neural networks can be trained to analyze images by looking...
24.06.2019 | Event News
29.04.2019 | Event News
17.04.2019 | Event News
22.07.2019 | Information Technology
22.07.2019 | Health and Medicine
22.07.2019 | Power and Electrical Engineering