OxTalks is Changing
OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
The Local Approach to Network Interference (Joint with Max Tabord-Meehan)
We propose a new unified framework for causal inference when the counterfactual outcomes of interest depend on how agents are linked in a network. Such network interference describes a vast literature on spillovers, social interactions, social learning, information diffusion, social capital formation, and more. Our approach works by first characterizing how an agent is linked in the network using the configuration of other agents and connections nearby as measured by path distance. Counterfactual predictions are then made by pooling outcome data across similarly configured agents. In the paper, we introduce a new nonparametric regression function for causal inference with network interference, propose a k-nearest-neighbor estimator, and provide non-asymptotic bounds on mean squared error. We demonstrate our approach by estimating the causal impact of various network interventions on social capital formation in a many-networks experiment.
Please sign up for meetings here: docs.google.com/spreadsheets/d/1GRwPBmtpUwstC4fdLZrnxfnARNYHedHykoRZG4Xq2Bo/edit#gid=0
Date:
7 May 2021, 15:15
Venue:
Held on Zoom
Speaker:
Eric Auerbach (Northwestern University)
Organising department:
Department of Economics
Part of:
Nuffield Econometrics Seminar
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Melis Clark
