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Cited by 323

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

The Growing Phenomenon of Private Tutoring: Does It Deepen Human Capital, Widen Inequalities, or Waste Resources?

Open access
Dang, H.-A., Rogers, F. H.·2008·The World Bank Research Observer

Abstract

Does private tutoring increase parental choice and improve student achievement, or does it exacerbate social inequalities and impose heavy costs on households, possibly without improving student outcomes? Private tutoring is now a major component of the education sector in many developing countries, yet education policy too seldom acknowledges or makes use of it. This survey of the literature examines the extent of private tutoring, identifies the factors that explain its growth, and analyzes its cost-effectiveness in improving student academic performance. It also presents a framework for assessing the efficiency and equity effects of tutoring. The results suggest that even taking equity concerns into account, tutoring can raise the effectiveness of the education system under certain reasonable assumptions. Guidance is offered for attacking corruption and other problems that diminish the benefits of private tutoring.

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Metadata

Authors
Dang, H.-A., & Rogers, F. H.
Venue
The World Bank Research Observer
Published
2008-05-27
Volume
23
Issue
2
Pages
161-200
ISSN
  • 0257-3032 (ISSN-L)
  • 1564-6971
OpenAlex
W2144964572
Cited by
323
References
43
FWCI
14.83
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Growing Phenomenon of Private Tutoring: Does It Deepen Human Capital, Widen Inequalities, or Waste Resources? https://app.cochat.ai/papers/10.1093/wbro/lkn004
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Dang, H.-A., & Rogers, F. H. (2008). The Growing Phenomenon of Private Tutoring: Does It Deepen Human Capital, Widen Inequalities, or Waste Resources? The World Bank Research Observer. https://doi.org/10.1093/wbro/lkn004

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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.