### 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 language | English (US) |
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Pages (from-to) | 1-10 |

Number of pages | 10 |

Journal | Economics Bulletin |

Volume | 35 |

Issue number | 3 |

State | Published - Jan 1 2015 |

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## Cite this

Chen, Q., Okediji, T., & Guoqiang, T. (2015). Exploiting regression-discontinuity design to estimate peer effects in college - the case of class attendance.

*Economics Bulletin*,*35*(3), 1-10.