Causal Inference Under Interference on Networks
Rome time
In policy evaluation an important phenomenon to consider is “interference”, where an intervention on one subject may affect another subject’s outcome. Dr Forastiere will illustrate i) estimators spillover effects on networks and ii) a two-stage re-randomization procedure to evaluate strategies to identify key influencers. Dr Forastiere will apply the estimator on the world trade network to investigate how spillover effects shape the optimal level of support in agricultural markets. Dr Forastiere will then present the two-stage method used to design an RCT to foster adoption of iron supplements in Mumbai.
RECENT RECORDS
About FAO webcast
The FAO webcast page provides live transmissions of events held at FAO headquarters.
(The interpretation of proceedings serves to facilitate communication and does not constitute an authentic or verbatim record of the proceedings. Only the original speech is authentic)
