scholarly journals Support for Health Insurance Coverage for Legal Abortion in the United States

2021 ◽  
Vol 19 (1) ◽  
pp. 433
Author(s):  
Charley Henderson ◽  
Philip Yang
Keyword(s):  
Health Insurance ◽  
Family Income ◽  
Insurance Coverage ◽  
General Social Survey ◽  
Health Insurance Coverage ◽  
The United States ◽  
Full Time ◽  
Legal Abortion ◽  
Time Work ◽  
Using Data

The use of health insurance to cover legal abortion is a controversial issue on which Americans are sharply divided. Currently, there is a lack of research on this issue as data became available only recently. Using data from the newly released General Social Survey in 2018, this study examines who is more or less likely to support health insurance coverage for legal abortion. The results show that the support and opposition were about evenly divided. The findings from the logistic regression analysis reveal that, holding other variables constant, Democrats, liberals, urban residents, the more educated, and the older were more likely to support health insurance coverage for legal abortion while women, Southerners, Christians, the currently married, and those with more children were less likely to favor it, compared to their respective counterparts. Additionally, the effect of education was stronger for liberals than for non-liberals. Race, family income, and full-time work status make no difference in the outcome. The findings have significant implications for research and practices in health insurance coverage for legal abortion.

Health Insurance Status of Adolescents in the United States

PEDIATRICS ◽  
1989 ◽  
Vol 84 (4) ◽  
pp. 699-708
Author(s):  
Paul W. Newacheck ◽  
Margaret A. McManus
Keyword(s):  
Health Insurance ◽  
Formal Education ◽  
Family Income ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
The United States ◽  
Single Parent ◽  
Public Health Care ◽  
Health Insurance Status ◽  
Poor Households

This analysis of a sample of 15 181 adolescents aged 10 to 18 years from the National Health Interview Survey indicates that 86% of adolescents had some form of private or public health care coverage during 1984. Nevertheless, one in every seven adolescents, or nearly 4.5 million nationwide, were without any form of health insurance coverage. Adolescents without insurance coverage were concentrated in poor and near-poor households, families with little formal education, and were more likely to live in the South or West. Minorities, especially Hispanic adolescents, were less likely than white adolescents to have some form of health insurance coverage, but much of this difference was attributable to the smaller incomes of minorities. Similarly, although adolescents living in single-parent households were less likely to be insured, the reduced likelihood of coverage appears to be primarily attributable to smaller family income in single-parent households. That family economics plays a central role in determining whether an adolescent had some form of coverage was confirmed by interiew results concerning the major reasons for absence of coverage; 8 of 10 uninsured families cited economic reasons for absence of coverage. Together, these results indicate the principal barriers to obtaining health insurance are economic in nature. Public and private sector initiatives for reducing the size of the uninsured adolescent population are discussed.

Data Processing Improvements for Estimates of Health Insurance Coverage in the Current Population Survey Annual Social and Economic Supplement

2021 ◽  
pp. 107755872110008
Author(s):  
Edward R. Berchick ◽  
Heide Jackson
Keyword(s):  
Health Insurance ◽  
Data Processing ◽  
Current Population Survey ◽  
Population Survey ◽  
Insurance Coverage ◽  
Processing System ◽  
Health Insurance Coverage ◽  
The United States ◽  
Health Insurance Data ◽  
Current Population

Estimates of health insurance coverage in the United States rely on household-based surveys, and these surveys seek to improve data quality amid a changing health insurance landscape. We examine postcollection processing improvements to health insurance data in the Current Population Survey Annual Social and Economic Supplement (CPS ASEC), one of the leading sources of coverage estimates. The implementation of updated data extraction and imputation procedures in the CPS ASEC marks the second stage of a two-stage improvement and the beginning of a new time series for health insurance estimates. To evaluate these changes, we compared estimates from two files that introduce the updated processing system with two files that use the legacy system. We find that updates resulted in higher rates of health insurance coverage and lower rates of dual coverage, among other differences. These results indicate that the updated data processing improves coverage estimates and addresses previously noted limitations of the CPS ASEC.

The Politics of Part-Time Work: Gender, Employment Status, and Preferences for Redistribution

2020 ◽  
pp. 1-38
Author(s):  
David S. Pedulla ◽  
Michael J. Donnelly
Keyword(s):  
Employment Status ◽  
General Social Survey ◽  
The United States ◽  
Limited Attention ◽  
Full Time ◽  
Cross Sectional ◽  
Preferences For Redistribution ◽  
Time Work ◽  
Part Time ◽  
Part Time Work

Abstract The social and economic forces that shape attitudes toward the welfare state are of central concern to social scientists. Scholarship in this area has paid limited attention to how working part-time, the employment status of nearly 20% of the U.S. workforce, affects redistribution preferences. In this article, we theoretically develop and empirically test an argument about the ways that part-time work, and its relationship to gender, shape redistribution preferences. We articulate two gender-differentiated pathways—one material and one about threats to social status—through which part-time work and gender may jointly shape individuals’ preferences for redistribution. We test our argument using cross-sectional and panel data from the General Social Survey in the United States. We find that the positive relationship between part-time employment, compared to full-time employment, and redistribution preferences is stronger for men than for women. Indeed, we do not detect a relationship between part-time work and redistribution preferences among women. Our results provide support for a gendered relationship between part-time employment and redistribution preferences and demonstrate that both material and status-based mechanisms shape this association.

scholarly journals The convergence of racial and income disparities in health insurance coverage in the United States

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
De-Chih Lee ◽  
Hailun Liang ◽  
Leiyu Shi
Keyword(s):  
Health Insurance ◽  
Low Income ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
The United States ◽  
Combined Effect ◽  
Medical Expenditure ◽  
The Us ◽  
Race Ethnicity ◽  
Vulnerability Measure

Abstract Objective This study applied the vulnerability framework and examined the combined effect of race and income on health insurance coverage in the US. Data source The household component of the US Medical Expenditure Panel Survey (MEPS-HC) of 2017 was used for the study. Study design Logistic regression models were used to estimate the associations between insurance coverage status and vulnerability measure, comparing insured with uninsured or insured for part of the year, insured for part of the year only, and uninsured only, respectively. Data collection/extraction methods We constructed a vulnerability measure that reflects the convergence of predisposing (race/ethnicity), enabling (income), and need (self-perceived health status) attributes of risk. Principal findings While income was a significant predictor of health insurance coverage (a difference of 6.1–7.2% between high- and low-income Americans), race/ethnicity was independently associated with lack of insurance. The combined effect of income and race on insurance coverage was devastating as low-income minorities with bad health had 68% less odds of being insured than high-income Whites with good health. Conclusion Results of the study could assist policymakers in targeting limited resources on subpopulations likely most in need of assistance for insurance coverage. Policymakers should target insurance coverage for the most vulnerable subpopulation, i.e., those who have low income and poor health as well as are racial/ethnic minorities.

The Impact of the Affordable Care Act Medicaid Expansions on the Sources of Health Insurance Coverage of Undergraduate Students in the United States

2021 ◽  
pp. 107755872110158
Author(s):  
Priyanka Anand ◽  
Dora Gicheva
Keyword(s):  
United States ◽  
Health Insurance ◽  
Undergraduate Students ◽  
Affordable Care Act ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
The United States ◽  
Percentage Points ◽  
The Affordable Care Act ◽  
Medicaid Expansions

This article examines how the Affordable Care Act Medicaid expansions affected the sources of health insurance coverage of undergraduate students in the United States. We show that the Affordable Care Act expansions increased the Medicaid coverage of undergraduate students by 5 to 7 percentage points more in expansion states than in nonexpansion states, resulting in 17% of undergraduate students in expansion states being covered by Medicaid postexpansion (up from 9% prior to the expansion). In contrast, the growth in employer and private direct coverage was 1 to 2 percentage points lower postexpansion for students in expansion states compared with nonexpansion states. Our findings demonstrate that policy efforts to expand Medicaid eligibility have been successful in increasing the Medicaid coverage rates for undergraduate students in the United States, but there is evidence of some crowd out after the expansions—that is, some students substituted their private and employer-sponsored coverage for Medicaid.

scholarly journals Union Effects on Health Insurance Provision and Coverage in the United States

ILR Review ◽  
2002 ◽  
Vol 55 (4) ◽  
pp. 610-627 ◽  
Author(s):  
Thomas C. Buchmueller ◽  
John Dinardo ◽  
Robert G. Valletta
Keyword(s):  
United States ◽  
Health Insurance ◽  
Survey Data ◽  
Insurance Coverage ◽  
Health Benefits ◽  
Union Density ◽  
Health Insurance Coverage ◽  
The United States ◽  
Health Coverage ◽  
Private Sector Union

During the past two decades, union density has declined in the United States and employer provision of health benefits has changed substantially in extent and form. Using individual survey data spanning the years 1983–97 combined with employer survey data for 1993, the authors update and extend previous analyses of private-sector union effects on employer-provided health benefits. They find that the union effect on health insurance coverage rates has fallen somewhat but remains large, due to an increase over time in the union effect on employee “take-up” of offered insurance, and that declining unionization explains 20–35% of the decline in employee health coverage. The increasing union take-up effect is linked to union effects on employees' direct costs for health insurance and the availability of retiree coverage.

Union Threat Effects and the Decline in Employer-Provided Health Insurance

ILR Review ◽  
2019 ◽  
Vol 72 (2) ◽  
pp. 417-445
Author(s):  
Craig A. Olson
Keyword(s):  
Health Insurance ◽  
Private Sector ◽  
Insurance Coverage ◽  
State Level ◽  
Union Density ◽  
Health Insurance Coverage ◽  
Full Time ◽  
Non Union ◽  
Private Sector Union ◽  
Threat Effect

Employer-provided health insurance decreased by an average of almost 0.6 percentage points per year for adults aged 18 to 64 who were working full-time in the private sector between 1983 and 2007. Most of this decline was among non-union workers. This study reports estimates that suggest the decrease was caused by a decline employers faced in the threat of being unionized, as measured by the drop in state-level private-sector union density over the 25 years and across the 50 states. The author hypothesizes the decline in union density caused some non-union employers to decide not to offer health insurance. The study shows the importance of accounting for measurement error in union density when estimating the declining threat effect of unionization on non-union employer-provided health insurance coverage.

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