Identifying Direct Causal Effects in Linear Models

@inproceedings{Tian2005IdentifyingDC,
  title={Identifying Direct Causal Effects in Linear Models},
  author={Jin Tian},
  booktitle={AAAI},
  year={2005}
}
This paper deals with the problem of identifying direct causal effects in recursive linear structural equation models. Using techniques developed for graphical causal models, we show that a model can be decomposed into a set of submodels such that the identification problem can be solved independently in each submodel. We provide a new identification method that identifies causal effects by solving a set of algebraic equations. Introduction Structural equation models (SEMs) have dominated… CONTINUE READING
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