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Abstract Details
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Activity Number:
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284
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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| Abstract - #305079 |
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Title:
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Identification of Causal Effects in the Presence of Interference
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Author(s):
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Elizabeth Ogburn*+ and Tyler VanderWeele
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Companies:
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Harvard University and Harvard School of Public Health
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Address:
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HSPH Program on Causal Inference, Boston, MA, 02115, United States
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Keywords:
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causal inference ;
interference ;
spillover effects ;
social networks ;
causal diagrams
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Abstract:
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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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