6 citations · 7 across the 6 of their papers we have counts for
3 papers · 1 filter
Heterogeneous Treatment and Spillover Effects under Clustered Network Interference
Falco J. Bargagli-Stoffi, Costanza Tortù, Laura Forastiere
The bulk of causal inference studies rule out the presence of interference between units. However, in many real-world scenarios, units are interconnected by social, physical, or vi…
Causal Inference on Networks under Continuous Treatment Interference
Laura Forastiere, Davide Del Prete, Valerio Leone Sciabolazza
This paper investigates the case of interference, when a unit's treatment also affects other units' outcome. When interference is at work, policy evaluation mostly relies on the us…
Modelling Network Interference with Multi-valued Treatments: the Causal Effect of Immigration Policy on Crime Rates
C. Tortù, I. Crimaldi, F. Mealli +1
Policy evaluation studies, which intend to assess the effect of an intervention, face some statistical challenges: in real-world settings treatments are not randomly assigned and t…