The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Peer Effects and Social Networks in Education
Abstract
We develop a model that shows that, at the Nash equilibrium, the outcome of each individual embedded in a network is proportional to his/her Katz-Bonacich centrality measure. This measure takes into account both direct and indirect friends of each individual, but puts less weight to his/her distant friends. We then bring the model to the data using a very detailed dataset of adolescent friendship networks. We show that, after controlling for observable individual characteristics and unobservable network specific factors, a standard deviation increase in the Katz-Bonacich centrality increases the pupil school performance by more than 7% of one standard deviation.
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Citations
Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062
Cited by
When the Great Equalizer Shuts Down: Schools, Peers, and Parents in Pandemic Times
Agostinelli, F., Doepke, M., Sorrenti, G., & Zilibotti, F. (2020) · doi:10.3386/w28264 · Cited by 97
Falling behind: Lingering costs of the high school transition for youth friendships and grades
Felmlee, D., McMillan, C., Inara Rodis, P., & Osgood, D. W. (2018) · Sociology of Education · doi:10.1177/0038040718762136 · Cited by 66
Metadata
- Authors
- CALVÓ-ARMENGOL, A., PATACCHINI, E., & ZENOU, Y.
- Venue
- Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-10
- Volume
- 76
- Issue
- 4
- Pages
- 1239-1267
- ISSN
- 0034-6527
- 1467-937X
- OpenAlex
- W3123258518
- Cited by
- 773
- References
- 2
- FWCI
- 130.98
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
