Take-up of public insurance and crowd-out of private insurance under recent CHIP expansions to higher income children
- PMID: 22515792
- PMCID: PMC3513615
- DOI: 10.1111/j.1475-6773.2012.01408.x
Take-up of public insurance and crowd-out of private insurance under recent CHIP expansions to higher income children
Abstract
Objective: To analyze the effects of states' expansions of Children's Health Insurance Program (CHIP) eligibility to children in higher income families on health insurance coverage outcomes.
Data sources: 2002-2009 Current Population Survey linked to multiple secondary data sources.
Study design: Instrumental variables estimation of linear probability models. Outcomes are whether the child had any public insurance, any private insurance, or no insurance coverage during the year.
Principal findings: Among children in families with incomes between two and four times the federal poverty line (FPL), four enrolled in CHIP for every 100 who became eligible. Roughly half of the newly eligible children who took up public insurance were previously uninsured. The upper bound "crowd-out" rate was estimated to be 46 percent.
Conclusions: The CHIP expansions to children in higher income families were associated with limited uptake of public coverage. Our results additionally suggest that there was crowd-out of private insurance coverage.
© Health Research and Educational Trust.
Figures
References
-
- TRIM3 project website. [accessed on October 26, 2011]. Available at http://trim3.urban.org.
-
- Bansak C, Raphael S. “The Effects of State Policy Design Features on Take-up and Crowd-out Rates for the State Children's Health Insurance Program”. Journal of Policy Analysis and Management. 26(1):149–75. - PubMed
-
- Bissell MK, Allen M. Healthy Ties: Ensuring Health Coverage for Children Raised by Grandparents and Other Relatives. Washington, DC: Children's Defense Fund; [accessed November 15, 2010]. Available at http://cdf.childrensdefense.org/site/DocServer/healthyties_fullreport.pd....
-
- Cutler DM, Gruber J. “Does Public Insurance Crowd Out Private Insurance?”. Quarterly Journal of Economics. 2006;111(2):391–430.
-
- Davern M, Jonese A, Lepkowski J, Davidson G, Blewett LA. “Estimating Regression Standard Errors with Data from the Current Population Survey's Public Use File”. Inquiry. 1996;44(2):211–24. May. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical