A Model Selection Approach to Interference

• In Event: New Insights in Causal Inference: Interference, Heterogeneity, and Balancing

Brief Overview

I propose approaching the problem of analyzing interference when the researcher does not observe the pathway through which interference occurs directly as a supervised learning model selection task.

Author

• Gustavo Diaz, University of Illinois at Urbana-Champaign