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Cited by 282

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Public Health Insurance, Labor Supply, and Employment Lock *

Garthwaite, Craig, Gross, Tal, Notowidigdo, Matthew J.·2014·The Quarterly Journal of Economics

Abstract

We study the effect of public health insurance on labor supply by exploiting a large public health insurance disenrollment. In 2005, approximately 170,000 Tennessee residents abruptly lost Medicaid coverage. Using both across- and within-state variation in exposure to the disenrollment, we estimate large increases in labor supply, primarily along the extensive margin. The increased employment is concentrated among individuals working at least 20 hours a week and receiving private, employer-provided health insurance. We explore the dynamic effects of the disenrollment and find an immediate increase in job search behavior and a steady rise in both employment and health insurance coverage following the disenrollment. Our results are consistent with a significant degree of “employment lock”—workers who are employed primarily to secure private health insurance coverage.

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Crossref · 10.1093/qje/qju005

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Metadata

Authors
Garthwaite, C., Gross, T., & Notowidigdo, M. J.
Venue
The Quarterly Journal of Economics
Published
2014-03-07
Volume
129
Issue
2
Pages
653-696
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2143531251
Cited by
282
References
3
FWCI
72.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Public Health Insurance, Labor Supply, and Employment Lock *. https://app.cochat.ai/papers/10.1093/qje/qju005
The paper
Garthwaite, C., Gross, T., & Notowidigdo, M. J. (2014). Public Health Insurance, Labor Supply, and Employment Lock *. The Quarterly Journal of Economics. https://doi.org/10.1093/qje/qju005

Data sources

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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.