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Cited by 330

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Inside the Black Box of Ability Peer Effects: Evidence from Variation in the Proportion of Low Achievers In the Classroom

Lavy, Victor, Paserman, M. Daniele, Schlosser, Analia·2012·The Economic Journal

Abstract

We estimate the extent of ability peer effects and explore the mechanisms through which they operate. Using within‐school variation in the proportion of low‐ability students in Israeli schools, we find that the proportion of low‐ability peers has a negative effect on the performance of regular students. An exploration of the underlying mechanisms show that, relative to regular students, low‐ability students report higher levels of satisfaction with their teachers. However, a higher proportion of low‐ability students has detrimental effects on teachers’ pedagogical practices and on the quality of inter‐student and student–teacher relationships, and increases the level of violence and classroom disruptions.

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Crossref · 10.1111/j.1468-0297.2011.02463.x

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Metadata

Authors
Lavy, V., Paserman, M. D., & Schlosser, A.
Venue
The Economic Journal
Published
2011-08-23
Volume
122
Issue
559
Pages
208-237
ISSN
  • 0013-0133 (ISSN-L)
  • 1468-0297
OpenAlex
W1684538006
Cited by
330
References
60
FWCI
60.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inside the Black Box of Ability Peer Effects: Evidence from Variation in the Proportion of Low Achievers In the Classroom. https://app.cochat.ai/papers/10.1111/j.1468-0297.2011.02463.x
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Lavy, V., Paserman, M. D., & Schlosser, A. (2012). Inside the Black Box of Ability Peer Effects: Evidence from Variation in the Proportion of Low Achievers In the Classroom. The Economic Journal. https://doi.org/10.1111/j.1468-0297.2011.02463.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.