The Deductive Approach to Causal Inference

Pearl Judea ()
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Pearl Judea: Department of Computer Science, University of California – Los Angeles, Los Angeles, CA, 90095-1596, USA

Journal of Causal Inference, 2014, vol. 2, issue 2, 115-129

Abstract: This paper reviews concepts, principles, and tools that have led to a coherent mathematical theory that unifies the graphical, structural, and potential outcome approaches to causal inference. The theory provides solutions to a number of pending problems in causal analysis, including questions of confounding control, policy analysis, mediation, missing data, and the integration of data from diverse studies.

Keywords: causal inference; confounding; counterfactuals; mediation; missing data; external validity (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:causin:v:2:y:2014:i:2:p:15:n:5

DOI: 10.1515/jci-2014-0016

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