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Anand, Paul; Behrman, Jere R; Dang, Hai-Anh H and Jones, Sam
(2022).
DOI: https://doi.org/10.1093/wber/lhab014
Abstract
Inequalities in learning opportunities arise from both household- and school-related factors. Although these factors are unlikely to be independent, few studies have considered the extent to which sorting between schools and households might aggravate educational inequalities. To fill this gap, this article presents a novel variance decomposition, which is then applied to data from over one million children from East Africa. Results indicate that sorting accounts for around 8 percent of the test-score variance, similar in magnitude to the contribution of differences in school quality. Empirical simulations of steady-state educational inequalities reveal that policies to mitigate sorting could substantially reduce educational inequalities over the long run.
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About
- Item ORO ID
- 78613
- Item Type
- Journal Item
- ISSN
- 1564-698X
- Keywords
- Africa; education; inequality of opportunity; sorting; variance decomposition
- Academic Unit or School
-
Faculty of Arts and Social Sciences (FASS) > Social Sciences and Global Studies > Philosophy
Faculty of Arts and Social Sciences (FASS) > Social Sciences and Global Studies
Faculty of Arts and Social Sciences (FASS) - Research Group
- Global Challenges and Social Justice
- Copyright Holders
- © 2021 UNU-WIDER
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