A graphical criterion for the identification of causal effects in linear models

Proceedings of the National Conference on Artificial Intelligence

Volumn , Issue , 2002, Pages 533-538

  Brito, Carlos ^a   Pearl, Judea ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR CORRECTION; GRAPHIC METHODS; MATRIX ALGEBRA;

COVARIANCE;

DATA PROCESSING;

EID: 0036932305     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Bollen, K. 1989. Structural Equations with Latent Variables. John Wiley, New York.
2. Brito, C., and Pearl, J. 2002. A new identification condition for recursive models with correlated errors. To appear in Structural Equation Modelling.
3. Cormen, T.; C.Leiserson; and Rivest, R. 1990. Introduction to Algorithms. The MIT Press.
4. Duncan, O. 1975. Introduction to Structural Equation Models. Academic Press, New York.
5. Fisher, F. 1966. The Identification Problem in Econometrics. McGraw-Hill, New York.
6. McDonald, R. 1997. Haldane's lungs: A case study in path analysis. Multiv. Behav. Res. 1-38.
7. Pearl, J. 1995. Causal diagrams for empirical research. Biometrika 82(4):669-710.
8. Pearl, J. 2000. Causality: Models, Reasoning, and Inference. Cambridge University Press, New York.
9. Wright, S. 1960. Path coefficients and path regressions: alternative or complementary concepts? Biometrics 189-202.