A Criterion for Parameter Identification in Structural Equation Models
arXiv:1206.5289v124 citations
Originality Synthesis-oriented
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This work addresses the challenge of causal inference in structural equation models, which is incremental as it builds on existing identification methods.
The paper tackles the problem of identifying direct causal effects in recursive linear structural equation models by establishing a sufficient criterion for identification and providing a procedure to compute these effects from observed covariance matrices.
This paper deals with the problem of identifying direct causal effects in recursive linear structural equation models. The paper establishes a sufficient criterion for identifying individual causal effects and provides a procedure computing identified causal effects in terms of observed covariance matrix.