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Qihui Chen, Tade Okediji and Tian Guoqiang
''Exploiting Regression-Discontinuity Design to Estimate Peer Effects in College – The Case of Class Attendance''
( 2015, Vol. 35 No.3 )
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
JEL: A2 - Economics Education and Teaching of Economics: General
C1 - Econometric and Statistical Methods: General
Manuscript Received : Oct 03 2014 Manuscript Accepted : Jul 11 2015

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