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Exploiting Regression-Discontinuity Design to Estimate Peer Effects in College – The Case of Class Attendance

Qihui Chen (), Tade Okediji () and Tian Guoqiang ()
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Tade Okediji: University of Minnesota
Tian Guoqiang: China Agricultural University

Economics Bulletin, 2015, vol. 35, issue 3, 1563-1571

Abstract: We exploit a regression-discontinuity design to estimate peer effects on college students' attendance, using data from a classroom experiment, which required students who scored below a cut-off on the first midterm exam to attend subsequent classes. Since within a small interval around the cut-off, which side of the cut-off a student falls is randomly determined, so is the proportion of a student's classmates falling on one side of the cut-off in the same interval. Using this proportion to instrument peer attendance, we find that a one-point (out of ten) increase in classmates' average attendance score raises a student's attendance score by 0.7 points.

Keywords: Peer Effects; Regression-discontinuity (search for similar items in EconPapers)
JEL-codes: A2 C1 (search for similar items in EconPapers)
Date: 2015-07-11
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