Estimates of Crowd-Out from a Public Health Insurance Expansion Using Administrative Data

Laura Dague, Thomas DeLeire (), Donna Friedsam, Daphne Kuo, Lindsey Leininger, Sarah Meier and Kristen Voskuil

No 17009, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We use a combination of administrative and survey data to estimate the fraction of individuals newly enrolled in public health coverage (Wisconsin's combined Medicaid and CHIP program) that had access to private, employer-sponsored health insurance at the time of their enrollment and the fraction that dropped this coverage. We estimate that after expansion of eligibility for public coverage, approximately 20% of new enrollees had access to private health insurance at the time of enrollment and that only 8% dropped this coverage (with the remaining 12% having both private and public coverage). We also identify an "upper bound" estimate, which suggests that the percentage of new enrollees with private insurance coverage at the time of enrollment is, at most, 27%. These estimates of crowd-out are relatively low compared with estimates from the literature based on Medicaid and CHIP expansions, although based both on different data and on a different method.

JEL-codes: I18 (search for similar items in EconPapers)
Date: 2011-05
New Economics Papers: this item is included in nep-hea and nep-ias
Note: EH
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.nber.org/papers/w17009.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:17009

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w17009

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().