scholarly journals An Empirical Model of Medicare Costs: The Role of Health Insurance, Employment, and Delays in Medicare Enrollment

Econometrics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 25
Author(s):  
Yuanyuan Deng ◽  
Hugo Benítez-Silva
Keyword(s):  
Health Insurance ◽  
Social Insurance ◽  
Insurance Coverage ◽  
Sample Selection ◽  
Health Insurance Coverage ◽  
The United States ◽  
Lower Probability ◽  
Medicare Beneficiaries ◽  
Medicare Costs ◽  
Medicare Spending

Medicare is one of the largest federal social insurance programs in the United States and the secondary payer for Medicare beneficiaries covered by employer-provided health insurance (EPHI). However, an increasing number of individuals are delaying their Medicare enrollment when they first become eligible at age 65. Using administrative data from the Medicare Current Beneficiary Survey (MCBS), this paper estimates the effects of EPHI, employment, and delays in Medicare enrollment on Medicare costs. Given the administrative nature of the data, we are able to disentangle and estimate the Medicare as secondary payer (MSP) effect and the work effects on Medicare costs, as well as to construct delay enrollment indicators. Using Heckman’s sample selection model, we estimate that MSP and being employed are associated with a lower probability of observing positive Medicare spending and a lower level of Medicare spending. This paper quantifies annual savings of $5.37 billion from MSP and being employed. Delays in Medicare enrollment generate additional annual savings of $10.17 billion. Owing to the links between employment, health insurance coverage, and Medicare costs presented in this research, our findings may be of interest to policy makers who should take into account the consequences of reforms on the Medicare system.

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.

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.

scholarly journals Measurement Error in Health Insurance Reporting

2008 ◽  
Vol 45 (4) ◽  
pp. 422-437 ◽  
Author(s):  
Joanne Pascale
Keyword(s):  
Health Insurance ◽  
Survey Methods ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
The United States ◽  
Household Level ◽  
Testing Protocol ◽  
Life Circumstances ◽  
Rich Data

In the United States, surveys serve as the only source of data for the number of uninsured people; they also provide rich data for exploring the relationships between health insurance coverage and individuals' life circumstances, such as employment, income, and health status, enabling researchers to assess the effectiveness of various aspects of the health care system. The Current Population Survey (CPS) is one of the most influential surveys measuring health insurance, but it is not without critics. To address outstanding questions about the data quality of the CPS health insurance questions, qualitative testing was conducted to assess various aspects of the questionnaire from the respondent's perspective. A testing protocol was developed largely based on previous health survey methods literature, and test subjects were probed about their comprehension of the questions, particular terms and phrases, and their strategies for formulating an answer. Several design features were identified as problematic, including the overall questionnaire structure, the calendar year reference period, the household-level design, and the wording of questions on public coverage.

Sex, Lies, and Health Insurance: Employer-Provided Health Insurance Coverage of Abortion and Infertility Services and the ADA

1996 ◽  
Vol 22 (1) ◽  
pp. 51-84
Author(s):  
D'Andra Millsap
Keyword(s):  
Health Insurance ◽  
Private Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
The United States ◽  
Infertility Treatment ◽  
Insurance Contracts ◽  
Access To Health ◽  
Infertility Treatments ◽  
Infertile Couples

Employer-provided health insurance is the backbone of the American healthcare system. Approximately four of five workers in the United States rely on health insurance provided in the workplace. Many commentators view access to health insurance as the doorway to the entire health care system. Thus, the benefits covered in employer-provided health insurance plans significantly impact millions of Americans.While private health insurance usually covers abortion, it traditionally has not covered infertility services. Eventually, courts began interpreting insurance contracts to include infertility treatments, leading insurers to specifically exclude infertility treatments from coverage. In response, a few states have passed mandated benefit laws requiring coverage of some or all infertility services. Nonetheless, current insurance coverage of infertility services is “erratic” at best. These exclusions are significant because abortion and infertility services can be quite expensive for the millions of infertile couples seeking some sort of infertility treatment and the millions of women who have abortions each year.

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