Using RD design to understand heterogeneity in health insurance crowd-out

Thomas G. Koch

Journal of Health Economics, 2013, vol. 32, issue 3, 599-611

Abstract: Crowd-out, the switching from private to public insurance, is often found, but estimates are rarely consistent with prior measurements. Cutler and Gruber (1996) found crowd-out in up to half of the newly eligible children, while Card and Shore-Sheppard (2004) found almost none. This paper exploits many regression discontinuity (RD) designs to estimate heterogeneous effects of public insurance eligibility. Crowd-out and its impact on spending and utilization is documented across the income spectrum, but effects are smaller at higher income levels. These differences vary by state and correspond to changes in the reimbursement rates of public insurance plans.

Keywords: Heterogeneous treatment effects; SCHIP; Medicaid; Crowd out (search for similar items in EconPapers)
JEL-codes: H4 I11 I18 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jhecon:v:32:y:2013:i:3:p:599-611

DOI: 10.1016/j.jhealeco.2013.03.002

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