Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We study how colleges and universities influence each other’s behavior in the context of fall reopening plans during the COVID-19 pandemic. By leveraging high-frequency data on colleges’ reopening announcements and using a fixed-effects model to control for unobserved factors at the college and state-day levels, we provide evidence that colleges respond strongly to prior decisions made by their peer institutions. A 10 percentage point (pp) increase in the share of one’s peers who have announced an in-person plan —roughly equivalent to 2 additional peers announcing in-person plans —increases the probability of doing so by 2.5pp. An equivalent increase in the share of one’s peers who have announced an online decision increases the probability of doing so by 4.0pp. These effects are robust to a variety of specifications and definitions of peer institutions.