TY - JOUR
T1 - The Structure of Peers
T2 - The Impact of Peer Networks on Academic Achievement
AU - Berthelon, Matias
AU - Bettinger, Eric
AU - Kruger, Diana I.
AU - Montecinos-Pearce, Alejandro
N1 - Publisher Copyright:
© 2019, Springer Nature B.V.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - Peer effects are an important contributing factor in the learning process. Most of the prior literature on peer effects focuses on the characteristics of peers rather than examining the structure of peer networks. We attempt to measure not only the impact of peers but also the structure of the peer network. In particular we are interested in the characteristics of students’ study groups along several dimensions: quality, heterogeneity, size and cohesion. Using pre-college characteristics of students and a random assignment into sections in their first year, we construct instruments of the study group measures to control for endogeneity of the network formation. Our OLS and IV estimates suggest that peer quality improves student performance, and that the breadth and cohesion of students’ network positively affects student outcomes. We also find significant heterogeneity of the results depending on network characteristics. Our findings can be used to assist university administrators or professors to choose criteria for sorting students into study groups.
AB - Peer effects are an important contributing factor in the learning process. Most of the prior literature on peer effects focuses on the characteristics of peers rather than examining the structure of peer networks. We attempt to measure not only the impact of peers but also the structure of the peer network. In particular we are interested in the characteristics of students’ study groups along several dimensions: quality, heterogeneity, size and cohesion. Using pre-college characteristics of students and a random assignment into sections in their first year, we construct instruments of the study group measures to control for endogeneity of the network formation. Our OLS and IV estimates suggest that peer quality improves student performance, and that the breadth and cohesion of students’ network positively affects student outcomes. We also find significant heterogeneity of the results depending on network characteristics. Our findings can be used to assist university administrators or professors to choose criteria for sorting students into study groups.
KW - Academic and social networks
KW - Academic performance
KW - College
KW - Peer effects
KW - Study groups
KW - University
UR - http://www.scopus.com/inward/record.url?scp=85059569160&partnerID=8YFLogxK
U2 - 10.1007/s11162-018-09543-7
DO - 10.1007/s11162-018-09543-7
M3 - Article
AN - SCOPUS:85059569160
SN - 0361-0365
VL - 60
SP - 931
EP - 959
JO - Research in Higher Education
JF - Research in Higher Education
IS - 7
ER -