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Causal bounds and instruments

Abstract:

Instrumental variables have proven useful, in particular within the social sciences and economics, for making inference about the causal effect of a random variable, B, on another random variable, C, in the presence of unobserved confounders. In the case where relationships are linear, causal effects can be identified exactly from studying the regression of C on A and the regression of B on A, where A is the instrument. In the more general case, bounds have been developed in the literature fo...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Author's Original

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Institution:
University of Oxford
Oxford college:
St Catherine's College
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author
Publisher:
Association for Uncertainty in Artificial Intelligence (AUAI) Press Publisher's website
URN:
uuid:e0c52783-3f19-4aa9-b101-5e22a4527e9d
Local pid:
ora:2748
Language:
English
Subjects:

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