Medicaid enrollment increases during economic downturns which imply households using the public health insurance program during coverage gaps due to job loss. However, we provide new evidence demonstrating that the Medicaid program’s countercyclical protections against economic downturns are largely concentrated in states with more generous Medicaid eligibility criteria for adults. We exploit the timing of the 2007-2009 Great Recession to compare trends in recession-linked Medicaid enrollment between states with more generous Medicaid eligibility guidelines and states with more restrictive guidelines. For similar effects of the recession, Medicaid enrollment grew larger states in with more generous Medicaid programs. Our work suggests for every 100 people becoming unemployed in states with a restrictive Medicaid program, about 96 would be uninsured, and about 11 would enroll in Medicaid. Conversely, about 49 would be uninsured in a state with more generous Medicaid guidelines and 57 would enroll in Medicaid.
Crowdsourcing sites and HC provide comparable information on patient experience; scores were less consistent in terms of risk-adjusted measures of patient safety and clinical quality.
This share is capped at a maximum of 0.25% of the total cost of the state Medicaid program, but states tend to request less than this limit. 4 Figures are based on authors' own analysis of the data and are presented in 2016 dollars.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.