scholarly journals Marriage in the U.S.: Twenty-five Years of Change, 1995-2020

2020 ◽  
Author(s):  
Lisa Carlson

The marriage rate in the U.S. has fallen over the last 25 years, while the rate of premarital cohabitation has increased (Cherlin 2020; FP-17-05). In 1995, the marriage rate was about 45 per 1,000 women, falling to about 31 per 1,000 women by 2020 (FP-20-21). Using data from the 1995 and 2020 Current Population Survey, this family profile investigates 25 years of change in marriage among women aged 18-49. Updating FP-15-17, the profile also examines variation in the share of women ever married by age, race/ethnicity, and educational attainment.

Author(s):  
Jan E. Leighley ◽  
Jonathan Nagler

This chapter uses data from the U.S. Census Bureau's Current Population Survey to provide an extensive description and discussion of aggregate and demographic group-specific turnout rates since 1972, focusing on education, income, race, ethnicity, age, gender, and marital status. Among the findings is that voter turnout in presidential elections since 1972 has not declined systematically. Instead, it has been slightly higher in some elections, and slightly lower in other elections. Second, the relationships among income, education, and voter turnout are quite strong: the probability of a highly educated or wealthy individual casting a ballot is much, much higher than the probability of a less-educated or poorer individual casting a ballot. Third, these differences in turnout have been remarkably stable over this thirty-six-year period. Fourth, there is less stability in turnout patterns by age, gender, and ethnicity since 1972 compared to those of education and income.


ILR Review ◽  
1995 ◽  
Vol 48 (4) ◽  
pp. 792-811 ◽  
Author(s):  
Edward Funkhouser ◽  
Stephen J. Trejo

Using data from special supplements to the Current Population Survey (CPS), the authors track the education and hourly earnings of recent male immigrants to the United States. In terms of these measures of labor market skills, the CPS data suggest that immigrants who came in the late 1980s were more skilled than those who arrived earlier in the decade. This pattern represents a break from the steady decline in immigrant skill levels observed in 1940–80 Census data. Despite the encouraging trend over the 1980s, however, the average skills of recent immigrants remain low by historical standards.


2019 ◽  
Vol 35 (1) ◽  
pp. 189-202
Author(s):  
Brett O’Hara ◽  
Carla Medalia ◽  
Jerry J. Maples

Abstract Most research on health insurance in the United States uses the Current Population Survey Annual Social and Economic Supplement. However, a recent redesign of the health insurance questions disrupted the historical time trend in 2013. Using data from the American Community Survey, which has a parallel trend in the uninsured rate, we model a bridge estimate of the uninsured rate using the traditional questions. Also, we estimate the effect of changing the questionnaire. We show that the impact of redesigning the survey varies substantially by subgroup. This approach can be used to produce bridge estimates when other questionnaires are redesigned.


ILR Review ◽  
1995 ◽  
Vol 48 (2) ◽  
pp. 293-304 ◽  
Author(s):  
Kenneth A. Swinnerton ◽  
Howard Wial

Using Current Population Survey data, the authors examine changes in job stability during the 1980s. For consecutive four-year periods during 1979–91, they present estimates of four-year retention rates for workers with varying levels of employer-specific seniority. Retention rates of low-seniority workers rose between 1979–83 and 1983–87 but fell between 1983–87 and 1987–91. Retention rates for 1987–91 were typically lower than those for 1979–83, suggesting a secular decline in job stability during the 1980s.


2021 ◽  
Author(s):  
Arthur Sakamoto ◽  
Ernesto F. L. Amaral ◽  
Sharron Xuanren Wang ◽  
Courtney Nelson

Second-generation Black Americans have been inadequately studied in prior quantitative research. We seek to ameliorate this research gap by using the Current Population Survey to investigate education and wages among second-generation Black Americans with a focus on Nigerian Americans. The latter group has been identified in some qualitative studies as having particularly notable socioeconomic attainments. The results indicate that the educational attainment of second-generation Nigerian Americans exceeds other second-generation Black Americans, third-and-higher generation African Americans, third-and-higher generation whites, second-generation whites, and second-generation Asian Americans. Controlling for age, education, and disability, the wages of second-generation Nigerian Americans have reached parity with third-and-higher generation whites. The educational attainment of other second-generation Black Americans exceeds third-and-higher generation African Americans, but has reached parity with third-and-higher generation whites only among women. These results indicate significant socioeconomic variation within the African-American/Black category by gender, ethnicity, and generational status that merit further research.


ILR Review ◽  
1995 ◽  
Vol 49 (1) ◽  
pp. 150-169
Author(s):  
Christopher Ferrall

This study, using data from the Professional, Administrative, Technical, and Clerical Pay Survey and the Current Population Survey, examines how the assignment of responsibility within firms affected the structure of wages of U.S. engineers between 1961 and 1986. Patterns of wage dispersion in this sample mirrored patterns found in broader segments of the labor market during the same period. In engineering, wage dispersion within levels of responsibility fell steadily between 1976 and 1986, while wage dispersion between levels rose. At the same time, engineering jobs began to migrate to lower levels within firms. The author explains the trends in wages and job assignments as responses to changes in the supply of and demand for engineers, within the framework of hierarchy models of responsibility.


2019 ◽  
Author(s):  
Arthur Sakamoto ◽  
Ernesto F. L. Amaral ◽  
Sharron Xuanren Wang ◽  
Courtney Nelson

Using recent data from the Current Population Survey, we investigate education and wages among second-generation African Americans with a focus on Nigerian Americans. The results indicate that the educational attainment of second-generation Nigerian Americans exceeds other second-generation African Americans, third-and-higher generation African Americans, third-and-higher generation whites, and second-generation whites. The educational attainment of second-generation Nigerian American women furthermore exceeds second-generation Asian American women. After controlling for age, education and disability, the wages of second-generation Nigerian American women have reached parity with third-and-higher generation white women whereas third-and-higher generation African American women have about 11 percent lower wages. After controlling for age, education and disability in the case of men, the wages of second-generation Nigerian American men have reached parity with third-and-higher generation white men whereas third-and-higher generation African American men have about 21 percent lower wages while other second-generation African American men have about 12 percent lower wages than third-and-higher generation white men. Contrary to the usual pattern of socioeconomic disadvantage for African Americans, these results indicate that second-generation Nigerian Americans have exceeded whites in educational attainment and have reached parity with equally-educated whites in terms of wage determination among employed workers. Nonetheless, we view our results as being only suggestive and call for more research on the socioeconomic outcomes of second-generation African Americans who have been relatively neglected in immigration studies.


2017 ◽  
Vol 92 (4) ◽  
pp. 649-665 ◽  
Author(s):  
James G. MacKinnon

Inference using large datasets is not nearly as straightforward as conventional econometric theory suggests when the disturbances are clustered, even with very small intra-cluster correlations. The information contained in such a dataset grows much more slowly with the sample size than it would if the observations were independent. Moreover, inferences become increasingly unreliable as the dataset gets larger. These assertions are based on an extensive series of estimations undertaken using a large dataset taken from the U.S. Current Population Survey.


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