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Abstract Details
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 - #304190 |
Title:
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Reasoning About Interference Between Units
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Author(s):
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Jake Bowers*+ and Mark M Fredrickson
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Companies:
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University of Illinois at Urbana-Champaign
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Address:
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420 David Kinley Hall (DKH) MC-713, Urbana, IL, , USA
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Keywords:
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causal inference ;
randomization inference ;
fisher's sharp null hypothesis ;
sutva ;
networks ;
interference
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Abstract:
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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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