Affiliation:
1. Computer Science Department , University of California , Los Angeles , CA 90095-1596, USA
Abstract
Abstract
This note illustrates, using simple examples, how causal questions of non-trivial character can be represented, analyzed and solved using linear analysis and path diagrams. By producing closed form solutions, linear analysis allows for swift assessment of how various features of the model impact the questions under investigation. We discuss conditions for identifying total and direct effects, representation and identification of counterfactual expressions, robustness to model misspecification, and generalization across populations.
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
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