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Cited by 326

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Does reporting heterogeneity bias the measurement of health disparities?

Open access
Bago d'Uva, Teresa, Van Doorslaer, Eddy, Lindeboom, Maarten, O'Donnell, Owen·2008·Health Economics

Abstract

Heterogeneity in reporting of health by socio‐economic and demographic characteristics potentially biases the measurement of health disparities. We use anchoring vignettes to identify socio‐demographic differences in the reporting of health in Indonesia, India and China. Homogeneous reporting by socio‐demographic group is rejected and correcting for reporting heterogeneity tends to reduce slightly estimated disparities in health by education (not China) and to increase those by income. But the method does not reveal substantial reporting bias in measures of health disparities. Copyright © 2007 John Wiley & Sons, Ltd.

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Metadata

Authors
Bago d'Uva, T., Van Doorslaer, E., Lindeboom, M., & O'Donnell, O.
Venue
Health Economics
Publisher
Wiley
Published
2007-08-13
Volume
17
Issue
3
Pages
351-375
ISSN
  • 1057-9230 (ISSN-L)
  • 1099-1050
OpenAlex
W2109589065
Cited by
326
References
43
FWCI
19.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Does reporting heterogeneity bias the measurement of health disparities? https://app.cochat.ai/papers/10.1002/hec.1269
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Bago d'Uva, T., Van Doorslaer, E., Lindeboom, M., & O'Donnell, O. (2008). Does reporting heterogeneity bias the measurement of health disparities? Health Economics. https://doi.org/10.1002/hec.1269

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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.