Oktober 2015

IZA DP No. 9448: Understanding Peer Effects: On the Nature, Estimation and Channels of Peer Effects

published in: Journal of Labor Economics, 2017, 35(2) 387-428

This paper estimates peer effects in a university context where students are randomly assigned to sections. While students benefit from better peers on average, low-achieving students are harmed by high-achieving peers. Analyzing students' course evaluations suggests that peer effects are driven by improved group interaction rather than adjustments in teachers' behavior or students' effort. We further show, building on Angrist (2014), that classical measurement error in a setting where group assignment is systematic can lead to substantial overestimation of peer effects. With random assignment, as is the case in our setting, estimates are only attenuated.