Journal article
Causal bounds and instruments
- Abstract:
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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
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(Author's original, pdf, 213.1KB)
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Authors
Bibliographic Details
- Publisher:
- Association for Uncertainty in Artificial Intelligence (AUAI) Press Publisher's website
Item Description
- Language:
- English
- Subjects:
- UUID:
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uuid:e0c52783-3f19-4aa9-b101-5e22a4527e9d
- Local pid:
- ora:2748
- Deposit date:
- 2009-04-30
Terms of use
- Copyright holder:
- Ramsahai, R
- Copyright date:
- 2007
- Notes:
- Citation: Ramsahai, R. R. (2007) Causal bounds and instruments. In: Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, July 19-22 2007, Vancouver, BC, Canada. AUAI Press. pp. 310-317.
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