Exploiting regression-discontinuity design to estimate peer effects in college - the case of class attendance

Qihui Chen, Tade Okediji, Tian Guoqiang

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalEconomics Bulletin
Volume35
Issue number3
StatePublished - Jan 1 2015

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