Enumerators as Treatment Versions: Enumerator-Induced Treatment Heterogeneity and its Consequences

• In Event: Experiments and Attentiveness in Surveys

Brief Overview

We show that enumerators are important source of treatment effect heterogeneity in experiments and develop a Bayesian model to account for such heterogeneity.

Authors

• Simon M Hoellerbauer, Vassar College

• Jing Qian, Princeton University

• Brandon de la Cuesta, Stanford University