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Abstract Details

Activity Number: 284
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
Sponsor: Social Statistics Section
Abstract - #304190
Title: Reasoning About Interference Between Units
Author(s): Jake Bowers*+ and Mark M Fredrickson
Companies: University of Illinois at Urbana-Champaign
Address: 420 David Kinley Hall (DKH) MC-713, Urbana, IL, , USA
Keywords: causal inference ; randomization inference ; fisher's sharp null hypothesis ; sutva ; networks ; interference

This paper reminds us that one may make statistical inferences about causal questions even under general interference between units. It further demonstrates that one may ask and formalize questions about how treatment given to some units may come to influence outcomes for other units: for example, how treatment may spillover from treated units to control units. We show that statistical inference about these causal effects is possible, and that the procedures for producing p-values and confidence intervals about causally defined parameters have expected operating characteristics. Finally we grapple with the question of how to compare causal models of counterfactuals.

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