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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 - #305079
Title: Identification of Causal Effects in the Presence of Interference
Author(s): Elizabeth Ogburn*+ and Tyler VanderWeele
Companies: Harvard University and Harvard School of Public Health
Address: HSPH Program on Causal Inference, Boston, MA, 02115, United States
Keywords: causal inference ; interference ; spillover effects ; social networks ; causal diagrams

The term "interference" has been used to describe any setting in which one subject's exposure may affect another subject's outcome. In fact, there are three distinct causal mechanisms which give rise to interference (and therefore three distinct types of interference). In many settings more than one type of interference will be present simultaneously. The causal effects of interest differ according to which types of interference are present, as do the conditions under which causal effects are identifiable. We describe these differences, give criteria for the identification of important causal effects, and discuss applications to social network data.

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