During Michaelmas Term, OxTalks will be moving to a new platform (full details are available on the Staff Gateway).
For now, continue using the current page and event submission process (freeze period dates to be advised).
If you have any questions, please contact halo@digital.ox.ac.uk
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.
