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Cited by 190

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Does Universal Coverage Improve Health? The Massachusetts Experience

Open access
Courtemanche, Charles J., Zapata, Daniela·2014·Journal of Policy Analysis and Management

Abstract

In 2006, Massachusetts passed health care reform legislation designed to achieve nearly universal coverage through a combination of insurance market reforms, mandates, and subsidies that later served as the model for national reform. Using data from the Behavioral Risk Factor Surveillance System, we provide evidence that health care reform in Massachusetts led to better overall self‐assessed health. Various robustness checks and placebo tests support a causal interpretation of the results. We also document improvements in several determinants of overall health: physical health, mental health, functional limitations, joint disorders, and body mass index. Next, we show that the effects on overall health were strongest among those with low incomes, nonwhites, near‐elderly adults, and women. Finally, we use the reform to instrument for health insurance and estimate a sizeable impact of coverage on health.

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Metadata

Authors
Courtemanche, C. J., & Zapata, D.
Venue
Journal of Policy Analysis and Management
Publisher
Wiley
Published
2013-11-12
Volume
33
Issue
1
Pages
36-69
ISSN
  • 0276-8739 (ISSN-L)
  • 1520-6688
OpenAlex
W2890236679
Cited by
190
References
5
FWCI
31.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Does Universal Coverage Improve Health? The Massachusetts Experience. https://app.cochat.ai/papers/10.1002/pam.21737
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Courtemanche, C. J., & Zapata, D. (2014). Does Universal Coverage Improve Health? The Massachusetts Experience. Journal of Policy Analysis and Management. https://doi.org/10.1002/pam.21737

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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.