Causal inference with interfering units for cluster and population level intervention programs

Causal inference with interfering units for cluster and population level intervention programs

Neyman Seminar
Nov 8, 2017, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Fabrizia Mealli, University of Florence
Interference arises when an individual's potential outcome depends on the individual treatment and also on the treatment of others. A common assumption in the causal inference literature in the presence of interference is partial interference, implying that the population can be partitioned in clusters of units whose potential outcomes only depend on the treatment of other units within the...