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...