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Cited by 253

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Boys Named Sue: Disruptive Children and Their Peers

Figlio, David N.·2007·Education Finance and Policy

Abstract

This article proposes an unusual identification strategy to estimate the effects of disruptive students on peer behavior and academic outcomes. Because boys with names most commonly given to girls may be more prone to misbehavior as they get older, they may become differentially disruptive in school. In elementary school there is no relationship between names and boys' behavior, but on transition to middle school, a large gap emerges in behavior between boys with names associated with girls and other boys. Using boys' names as an instrumental variable, I utilize data on names, classroom assignment, behavior problems, and student test scores from a large Florida school district in the school years spanning 1996–97 through 1999–2000 to directly measure the effects of classroom disruption on peer performance. I find that behavior problems are associated with increased peer disciplinary problems and reduced peer test scores, indicating that disruptive behavior of students has negative ramifications for their peers.

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Metadata

Authors
Figlio, D. N.
Venue
Education Finance and Policy
Published
2007-10
Volume
2
Issue
4
Pages
376-394
ISSN
  • 1557-3060 (ISSN-L)
  • 1557-3079
OpenAlex
W1975788118
Cited by
253
References
16
FWCI
46.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Boys Named Sue: Disruptive Children and Their Peers. https://app.cochat.ai/papers/10.1162/edfp.2007.2.4.376
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Figlio, D. N. (2007). Boys Named Sue: Disruptive Children and Their Peers. Education Finance and Policy. https://doi.org/10.1162/edfp.2007.2.4.376

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.