The potential effects of a Supreme Court decision to overturn the Affordable Care Act: updated estimates

The potential effects of a Supreme Court decision to overturn the Affordable Care Act: updated estimates

Collection:
Health Policy and Services Research
Series Title(s):
Timely analysis of immediate health policy issues
Author(s):
Blumberg, Linda J., author
Simpson, Michael, author
Buettgens, Matthew, author
Banthin, Jessica, author
Holahan, John, author
Contributor(s):
Robert Wood Johnson Foundation, issuing body.
Urban Institute, issuing body.
Publication:
[Washington, DC] : Urban Institute, October 2020
Language(s):
English
Format:
Text
Subject(s):
Health Insurance Exchanges -- economics
Insurance Coverage -- legislation & jurisprudence
Medically Uninsured -- statistics & numerical data
Supreme Court Decisions
Uncompensated Care -- statistics & numerical data
United States
United States.
Genre(s):
Technical Report
Abstract:
The Supreme Court is set to hear oral arguments in California v. Texas (called Texas v. U.S. when heard by the lower courts) on November 10, 2020. In the case, a group of state attorneys general, led by the Texas attorney general, argue the entire Affordable Care Act (ACA) should be found unconstitutional and overturned, given that a 2017 tax law set the ACA's individual mandate penalties to $0 but did not eliminate the now-unenforced individual mandate language along with them. Another group of attorneys general, led by the California attorney general, argue that the law has operated effectively since the penalties were eliminated, the mandate is severable from the rest of the law, and there are no constitutional grounds for overturning it. Here, we update previous analyses of the implications for insurance coverage, federal spending, and health care providers if the ACA is overturned. These estimates, computed using the Urban Institute's Health Insurance Policy Simulation Model (HIPSM), are based on a newly developed projection of coverage and spending in 2022 that accounts for an anticipated partial economic recovery from the COVID-19 recession. Our estimates of that economic recovery align with employment levels projected by the Congressional Budget Office for 2022.
Copyright:
Reproduced with permission of the copyright holder. Further use of the material is subject to CC BY-NC-DC license. (More information)
Extent:
1 online resource (1 PDF file (10 pages))
Illustrations:
Illustrations
NLM Unique ID:
9918250314106676 (See catalog record)
Permanent Link:
http://resource.nlm.nih.gov/9918250314106676