Peers as treatments
Working paper, 2024
This paper develops a general framework for interpreting linear regression estimates of contextual peer effects under random or conditionally random peer assignment. Rather than imposing the strong assumption that peers influence individual outcomes solely and directly through specific observed characteristics, the model considers social interaction with a given peer group as a treatment with an unknown and variable treatment effect. In this setting, a wide variety of conventional peer effect regressions are informative and can be interpreted as identifying treatment effect heterogeneity along dimensions of interest to the researcher. The framework is then used to clarify the limitations of common research designs and to suggest avenues for improving empirical practice.
Recommended citation: Krauth, Brian (2024). "Peers as treatments." Working paper, Simon Fraser University. https://bvkrauth.github.io/publication/peertreat