The DOI matches its Crossref record.
Does Public Insurance Crowd out Private Insurance?
Abstract
The cost of expanding public sector health programs depends critically on the extent to which public eligibility will cover just the uninsured, or will crowd out existing private insurance coverage. We estimate the extent of crowd-out arising from the expansions of Medicaid to pregnant women and children over the 1987–1992 period. We estimate that approximately 50 percent of the increase in Medicaid coverage was associated with a reduction in private insurance coverage. This occurred largely because employees took up employer-based insurance less frequently. There is also some evidence that employers contributed less for insurance and that workers dropped coverage of dependents.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A unified welfare analysis of government policies.
Hendren, N., & Sprung-Keyser, B. (2020) · The Quarterly Journal of Economics · doi:10.1093/qje/qjaa006 · Cited by 571
Subsidies and Crowding Out: A Double‐Hurdle Model of Fertilizer Demand in Malawi
Ricker-Gilbert, J., Jayne, T. S., & Chirwa, E. (2011) · American Journal of Agricultural Economics · doi:10.1093/ajae/aaq122 · Cited by 402
Cohodes, S. R., & Goodman, J. S. (2014) · American Economic Journal: Applied Economics · doi:10.1257/app.6.4.251 · Cited by 359
The impact of health care reform on hospital and preventive care: Evidence from Massachusetts
Kolstad, J. T., & Kowalski, A. E. (2012) · Journal of Public Economics · doi:10.1016/j.jpubeco.2012.07.003 · Cited by 281
Public Insurance and Mortality: Evidence from Medicaid Implementation
Goodman-Bacon, A. (2018) · Journal of Political Economy · doi:10.1086/695528 · Cited by 270
Metadata
- Authors
- Cutler, D. M., & Gruber, J.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-05-01
- Volume
- 111
- Issue
- 2
- Pages
- 391-430
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2088370899
- Cited by
- 772
- References
- 0
- FWCI
- 43.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Does Public Insurance Crowd out Private Insurance? https://app.cochat.ai/papers/10.2307/2946683
- The paper
- Cutler, D. M., & Gruber, J. (1996). Does Public Insurance Crowd out Private Insurance? The Quarterly Journal of Economics. https://doi.org/10.2307/2946683
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.