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Cited by 429

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Putting a Band-Aid on a Corpse: Incentives for Nurses in the Indian Public Health Care System

Open access
Banerjee, Abhijit V., Duflo, Esther, Glennerster, Rachel·2008·Journal of the European Economic Association

Abstract

The public Indian health care system is plagued by high staff absence, low effort by providers, and limited use by potential beneficiaries who prefer private alternatives. This artice reports the results of an experiment carried out with a district administration and a nongovernmental organization (NGO). The presence of government nurses in government public health facilities (subcenters and aid-posts) was recorded by the NGO, and the government took steps to punish the worst delinquents. Initially, the monitoring system was extremely effective. This shows that nurses are responsive to financial incentives. But after a few months, the local health administration appears to have undermined the scheme from the inside by letting the nurses claim an increasing number of "exempt days." Eighteen months after its inception, the program had become completely ineffective.

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Metadata

Authors
Banerjee, A. V., Duflo, E., & Glennerster, R.
Venue
Journal of the European Economic Association
Published
2008-04
Volume
6
Issue
2-3
Pages
487-500
ISSN
  • 1542-4766 (ISSN-L)
  • 1542-4774
OpenAlex
W1978479335
Cited by
429
References
0
FWCI
15.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Putting a Band-Aid on a Corpse: Incentives for Nurses in the Indian Public Health Care System. https://app.cochat.ai/papers/10.1162/jeea.2008.6.2-3.487
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Banerjee, A. V., Duflo, E., & Glennerster, R. (2008). Putting a Band-Aid on a Corpse: Incentives for Nurses in the Indian Public Health Care System. Journal of the European Economic Association. https://doi.org/10.1162/jeea.2008.6.2-3.487

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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.