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Educational performance of the poor: lessons from rural northeast Brazil

·1993·Choice Reviews Online

Abstract

Education policy in developing countries is often expressed as a tradeoff between quality of schools and equity of access by students. The analysis behind this book demonstrates that such a distinction may be artificial. The research, which emerged from an effort to improve educational performance in rural northeast Brazil, shows that improving the quality of schools could lead to gains in efficiency that more than offset the direct costs of the improvements. Through the cost savings they generate, quality improvements can also increase equity of access. This quantitative assessment of eduational performance and school promotion in primary schools is unique in its ability to address directly a range of important policy concerns facing developing countries. The study relies on longitudinal data collected over seven years to evaluate the EDURURAL project, an educational intervention by the Brazilian government supported by the World Bank. The extensive data base permits more precise analysis of the underlying determinants of student achievement and promotion than was previously possible. The study includes a standard investigation of teachers and resources. In addition it examines the relationships between both achievement and promotion and student health and promotion and considers the likely effects of differences in teachers' skills and knowledge of subject matter.

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Metadata

Venue
Choice Reviews Online
Published
1993-01-01
Volume
30
Issue
05
Pages
30-2813-30-2813
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W1484086726
Cited by
320
References
0
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: Educational performance of the poor: lessons from rural northeast Brazil. https://app.cochat.ai/papers/10.5860/choice.30-2813
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Educational performance of the poor: lessons from rural northeast Brazil. (1993). Choice Reviews Online. https://doi.org/10.5860/choice.30-2813

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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.