Oxford Events, the new replacement for OxTalks, will launch on 16th March. From now until the launch of Oxford Events, new events cannot be published or edited on OxTalks while all existing records are migrated to the new platform. The existing OxTalks site will remain available to view during this period.
From 16th, Oxford Events will launch on a new website: events.ox.ac.uk, and event submissions will resume. You will need a Halo login to submit events. Full details are available on the Staff Gateway.
To reserve a time to meet with the speaker, please register at the following form:
docs.google.com/spreadsheets/d/1y2uYgphPHtmZ2FUYTp1N7DmhER_TiHGciQguJjbJHw4/edit#gid=0
Abstract:
I study a social interaction model in which agent behavior is influenced by latent drivers of link formation in a network. Rather than specify or fit a parametric model of network formation, I introduce a new methodology based on matching pairs of agents with similar columns of the squared adjacency matrix, the ijth entry of which contains the number of other agents linked to both agents i and j. The intuition is that for a large class of network formation models the columns of this matrix characterize all of the identifiable information about individual linking behavior. In the paper, I first describe the model and formalize this intuition. I then introduce the estimators and characterize their large sample properties.
