How Effective are Public Policies to Increase Health Insurance Coverage Among Young Adults?

2011 ◽  
Vol 3 (1) ◽  
pp. 129-156 ◽  
Author(s):  
Phillip B Levine ◽  
Robin McKnight ◽  
Samantha Heep

This paper assesses the impact of policies to increase insurance coverage for young adults. The introduction of SCHIP in 1997 enabled low-income teens up to age 19 to gain access to public health insurance. More recent policies enabled young adults between the ages of 19 and (typically) 24 to remain covered under their parents' health insurance. We use the discrete break in coverage at age 19 to evaluate the impact of SCHIP, and quasi-experimental variation to evaluate the impact of “extended parental coverage” laws. Our results suggest that both types of policies were effective at increasing health insurance coverage. (JEL G22, H75, I18, J13)

2016 ◽  
Vol 15 (6) ◽  
pp. 665-695
Author(s):  
Samuel Amponsah

In recent years, both theoretical and empirical research has accumulated in development economics literature regarding household behavior in response to shocks in developing countries. The literature especially has explored deeply the impact of weather-related shocks—such as droughts and floods—and the efficiency of informal mechanisms to cope with these shocks. In sharp contrast, our knowledge on the economics of health shocks in low-income developing countries is rather limited. A few studies have documented that low incomes and poor health insurance coverage account for catastrophic medical expenditures in the event of a health shock. This study uses a combination of Ghanaian household survey datasets to examine the different coping mechanisms employed by uninsured households to protect themselves from the incidence of health shocks. In addition, it explores the impact of formal health insurance (the National Health Insurance Scheme) on households’ out-of-pocket spending and catastrophic health expenditures.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
De-Chih Lee ◽  
Hailun Liang ◽  
Leiyu Shi

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.


2017 ◽  
Vol 180 ◽  
pp. 28-35 ◽  
Author(s):  
Kimberly Narain ◽  
Marianne Bitler ◽  
Ninez Ponce ◽  
Gerald Kominski ◽  
Susan Ettner

2011 ◽  
Vol 165 (2) ◽  
pp. 338
Author(s):  
J.K. Smith ◽  
S. Ng ◽  
J.S. Hill ◽  
T.P. McDade ◽  
S.A. Shah ◽  
...  

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